JMSLTM Numerical Library 2.5
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

abs(Complex) - Static method in class com.imsl.math.Complex
Returns the absolute value (modulus) of a Complex, |z|.
abs(double) - Static method in class com.imsl.math.JMath
Returns the absolute value of a double.
abs(float) - Static method in class com.imsl.math.JMath
Returns the absolute value of a float.
abs(int) - Static method in class com.imsl.math.JMath
Returns the absolute value of an int.
abs(long) - Static method in class com.imsl.math.JMath
Returns the absolute value of a long.
absolute(int) - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the given row number in this ResultSet object.
AbstractFlatFile - class com.imsl.io.AbstractFlatFile.
Reads a text or binary file as a ResultSet.
AbstractFlatFile.FlatFileSQLException - exception com.imsl.io.AbstractFlatFile.FlatFileSQLException.
A SQLException thrown by the AbstractFlatFile class.
AbstractFlatFile() - Constructor for class com.imsl.io.AbstractFlatFile
Initializes an AbstractFlatFile.
accrint(GregorianCalendar, GregorianCalendar, GregorianCalendar, double, double, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the interest which has accrued on a security that pays interest periodically.
accrintm(GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the interest which has accrued on a security that pays interest at maturity.
acos(Complex) - Static method in class com.imsl.math.Complex
Returns the inverse cosine (arc cosine) of a Complex, with branch cuts outside the interval [-1,1] along the real axis.
acos(double) - Static method in class com.imsl.math.JMath
Returns the inverse (arc) cosine of a double.
acosh(Complex) - Static method in class com.imsl.math.Complex
Returns the inverse hyperbolic cosine (arc cosh) of a Complex, with a branch cut at values less than one along the real axis.
acosh(double) - Static method in class com.imsl.math.Hyperbolic
Returns the inverse hyperbolic cosine of its argument.
add(Complex[][], Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Add two rectangular Complex arrays, a + b.
add(Complex, Complex) - Static method in class com.imsl.math.Complex
Returns the sum of two Complex objects, x+y.
add(Complex, double) - Static method in class com.imsl.math.Complex
Returns the sum of a Complex and a double, x+y.
add(double[][], double[][]) - Static method in class com.imsl.math.Matrix
Add two rectangular arrays, a + b.
add(double, Complex) - Static method in class com.imsl.math.Complex
Returns the sum of a double and a Complex, x+y.
add(Physical, Physical) - Static method in class com.imsl.math.Physical
Add two compatible Physical objects.
addLegendItem(int, ChartNode) - Method in class com.imsl.chart.Chart
Adds a legend to this ChartNode
addMouseListener(MouseListener) - Method in class com.imsl.chart.Chart
Adds a MouseListener to the component associated with this chart.
addMouseMotionListener(MouseMotionListener) - Method in class com.imsl.chart.Chart
Adds a MouseMotionListener to the component associated with this chart.
addPickListener(PickListener) - Method in class com.imsl.chart.ChartNode
Adds a PickListener to this node.
AFTER_SUCCESSFUL_STEP - Static variable in class com.imsl.math.OdeRungeKutta
 
AFTER_UNSUCCESSFUL_STEP - Static variable in class com.imsl.math.OdeRungeKutta
 
afterLast() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the end of this ResultSet object, just after the last row.
allConverged() - Method in class com.imsl.math.ZeroFunction
Returns true if the iterations for all of the roots have converged.
ALPHA_FACTOR_ANALYSIS - Static variable in class com.imsl.stat.FactorAnalysis
Indicates alpha factor analysis.
amordegrc(double, GregorianCalendar, GregorianCalendar, double, int, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the depreciation for each accounting period.
amorlinc(double, GregorianCalendar, GregorianCalendar, double, int, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the depreciation for each accounting period.
ANNUAL - Static variable in class com.imsl.finance.Bond
 
ANOVA - class com.imsl.stat.ANOVA.
Analysis of Variance table and related statistics.
ANOVA(double[][]) - Constructor for class com.imsl.stat.ANOVA
Analyzes a one-way classification model.
ANOVA(double, double, double, double, double) - Constructor for class com.imsl.stat.ANOVA
Construct an analysis of variance table and related statistics.
ANOVAFactorial - class com.imsl.stat.ANOVAFactorial.
Analyzes a balanced factorial design with fixed effects.
ANOVAFactorial(int, int[], double[]) - Constructor for class com.imsl.stat.ANOVAFactorial
Constructor for ANOVAFactorial.
argument(Complex) - Static method in class com.imsl.math.Complex
Returns the argument (phase) of a Complex, in radians, with a branch cut along the negative real axis.
ARMA - class com.imsl.stat.ARMA.
Computes least-square estimates of parameters for an ARMA model.
ARMA.IllConditionedException - exception com.imsl.stat.ARMA.IllConditionedException.
The problem is ill-conditioned.
ARMA.IllConditionedException(String) - Constructor for class com.imsl.stat.ARMA.IllConditionedException
 
ARMA.IllConditionedException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.IllConditionedException
 
ARMA.IncreaseErrRelException - exception com.imsl.stat.ARMA.IncreaseErrRelException.
The bound for the relative error is too small.
ARMA.IncreaseErrRelException(String) - Constructor for class com.imsl.stat.ARMA.IncreaseErrRelException
 
ARMA.IncreaseErrRelException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.IncreaseErrRelException
 
ARMA.MatrixSingularException - exception com.imsl.stat.ARMA.MatrixSingularException.
The input matrix is singular.
ARMA.MatrixSingularException(String) - Constructor for class com.imsl.stat.ARMA.MatrixSingularException
 
ARMA.MatrixSingularException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.MatrixSingularException
 
ARMA.NewInitialGuessException - exception com.imsl.stat.ARMA.NewInitialGuessException.
The iteration has not made good progress.
ARMA.NewInitialGuessException(String) - Constructor for class com.imsl.stat.ARMA.NewInitialGuessException
 
ARMA.NewInitialGuessException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.NewInitialGuessException
 
ARMA.TooManyCallsException - exception com.imsl.stat.ARMA.TooManyCallsException.
The number of calls to the function has exceeded the maximum number of iterations.
ARMA.TooManyCallsException(String) - Constructor for class com.imsl.stat.ARMA.TooManyCallsException
 
ARMA.TooManyCallsException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyCallsException
 
ARMA.TooManyFcnEvalException - exception com.imsl.stat.ARMA.TooManyFcnEvalException.
Maximum number of function evaluations exceeded.
ARMA.TooManyFcnEvalException(String) - Constructor for class com.imsl.stat.ARMA.TooManyFcnEvalException
 
ARMA.TooManyFcnEvalException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyFcnEvalException
 
ARMA.TooManyITNException - exception com.imsl.stat.ARMA.TooManyITNException.
Maximum number of iterations exceeded.
ARMA.TooManyITNException(String) - Constructor for class com.imsl.stat.ARMA.TooManyITNException
 
ARMA.TooManyITNException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyITNException
 
ARMA.TooManyJacobianEvalException - exception com.imsl.stat.ARMA.TooManyJacobianEvalException.
Maximum number of Jacobian evaluations exceeded.
ARMA.TooManyJacobianEvalException(String) - Constructor for class com.imsl.stat.ARMA.TooManyJacobianEvalException
 
ARMA.TooManyJacobianEvalException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyJacobianEvalException
 
ARMA(int, int, double[]) - Constructor for class com.imsl.stat.ARMA
Constructor for ARMA.
ascending(double[]) - Static method in class com.imsl.stat.Sort
Sort an array into ascending order.
ascending(double[][], int) - Static method in class com.imsl.stat.Sort
Sort a matrix into ascending order by specified keys.
ascending(double[][], int[]) - Static method in class com.imsl.stat.Sort
Sort a matrix into ascending order by specified keys.
ascending(double[][], int[], int[]) - Static method in class com.imsl.stat.Sort
Sort a matrix into ascending order by specified keys.
ascending(double[][], int, int[]) - Static method in class com.imsl.stat.Sort
Sort an array into ascending order by specified keys.
ascending(double[], int[]) - Static method in class com.imsl.stat.Sort
Sort an array into ascending order.
ascending(int[]) - Static method in class com.imsl.stat.Sort
Function to sort an integer array into ascending order.
asin(Complex) - Static method in class com.imsl.math.Complex
Returns the inverse sine (arc sine) of a Complex, with branch cuts outside the interval [-1,1] along the real axis.
asin(double) - Static method in class com.imsl.math.JMath
Returns the inverse (arc) sine of a double.
asinh(Complex) - Static method in class com.imsl.math.Complex
Returns the inverse hyperbolic sine (arc sinh) of a Complex, with branch cuts outside the interval [-i,i].
asinh(double) - Static method in class com.imsl.math.Hyperbolic
Returns the inverse hyperbolic sine of its argument.
AT_BEGINNING_OF_PERIOD - Static variable in class com.imsl.finance.Finance
Flag used to indicate that payment is made at the beginning of each period.
AT_END_OF_PERIOD - Static variable in class com.imsl.finance.Finance
Flag used to indicate that payment is made at the end of each period.
atan(Complex) - Static method in class com.imsl.math.Complex
Returns the inverse tangent (arc tangent) of a Complex, with branch cuts outside the interval [-i,i] along the imaginary axis.
atan(double) - Static method in class com.imsl.math.JMath
Returns the inverse (arc) tangent of a double.
atan2(double, double) - Static method in class com.imsl.math.JMath
Returns the angle corresponding to a Cartesian point.
atanh(Complex) - Static method in class com.imsl.math.Complex
Returns the inverse hyperbolic tangent (arc tanh) of a Complex, with branch cuts outside the interval [-1,1] on the real axis.
atanh(double) - Static method in class com.imsl.math.Hyperbolic
Returns the inverse hyperbolic tangent of its argument.
AutoCorrelation - class com.imsl.stat.AutoCorrelation.
Computes the sample autocorrelation function of a stationary time series.
AutoCorrelation.NonPosVariancesException - exception com.imsl.stat.AutoCorrelation.NonPosVariancesException.
The problem is ill-conditioned.
AutoCorrelation.NonPosVariancesException(String) - Constructor for class com.imsl.stat.AutoCorrelation.NonPosVariancesException
 
AutoCorrelation.NonPosVariancesException(String, Object[]) - Constructor for class com.imsl.stat.AutoCorrelation.NonPosVariancesException
 
AutoCorrelation(double[], int) - Constructor for class com.imsl.stat.AutoCorrelation
Constructor to compute the sample autocorrelation function of a stationary time series.
AUTOSCALE_DATA - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that autoscaling is to be done by scanning the data nodes.
AUTOSCALE_DENSITY - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that autoscaling is to adjust the "Density" attribute.
AUTOSCALE_NUMBER - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that autoscaling is to adjust the "Number" attribute.
AUTOSCALE_OFF - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that autoscaling is turned off.
AUTOSCALE_WINDOW - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that autoscaling is to be done by using the "Window" attribute.
Axis - class com.imsl.chart.Axis.
The Axis node provides the mapping for all of its children from the user coordinate space to the device (screen) space.
AXIS_X - Static variable in class com.imsl.chart.ChartNode
Flag to indicate x-axis.
AXIS_X_TOP - Static variable in class com.imsl.chart.ChartNode
Flag to indicate x-axis placed on top of the chart.
AXIS_Y - Static variable in class com.imsl.chart.ChartNode
Flag to indicate y-axis.
AXIS_Y_RIGHT - Static variable in class com.imsl.chart.ChartNode
Flag to indicate y-axis placed to the right of the chart.
Axis(Chart) - Constructor for class com.imsl.chart.Axis
Contructs an Axis node.
Axis1D - class com.imsl.chart.Axis1D.
An x-axis or a y-axis.
AxisLabel - class com.imsl.chart.AxisLabel.
The labels on an axis.
AxisLine - class com.imsl.chart.AxisLine.
The axis line.
AxisR - class com.imsl.chart.AxisR.
The R-axis in a polar plot.
AxisRLabel - class com.imsl.chart.AxisRLabel.
The labels on an axis.
AxisRLine - class com.imsl.chart.AxisRLine.
The radius axis line in a polar plot.
AxisRMajorTick - class com.imsl.chart.AxisRMajorTick.
The major tick marks for the radius axis in a polar plot.
AxisTheta - class com.imsl.chart.AxisTheta.
The angular axis in a polar plot.
AxisTitle - class com.imsl.chart.AxisTitle.
The title on an axis.
AxisUnit - class com.imsl.chart.AxisUnit.
The unit title on an axis.
AxisXY - class com.imsl.chart.AxisXY.
The axes for an x-y chart.
AxisXY(Chart) - Constructor for class com.imsl.chart.AxisXY
Create an AxisXY.

B

Background - class com.imsl.chart.Background.
The background of a chart.
backward(Complex[]) - Method in class com.imsl.math.ComplexFFT
Compute the complex periodic sequence from its Fourier coefficients.
backward(double[]) - Method in class com.imsl.math.FFT
Compute the real periodic sequence from its Fourier coefficients.
Bar - class com.imsl.chart.Bar.
A bar chart.
BAR_TYPE_HORIZONTAL - Static variable in class com.imsl.chart.ChartNode
Flag to indicate a horizontal bar chart.
BAR_TYPE_VERTICAL - Static variable in class com.imsl.chart.ChartNode
Flag to indicate a vertical bar chart.
Bar(AxisXY) - Constructor for class com.imsl.chart.Bar
Constructs a bar chart.
Bar(AxisXY, double[]) - Constructor for class com.imsl.chart.Bar
Constructs a simple bar chart using supplied y data.
Bar(AxisXY, double[][]) - Constructor for class com.imsl.chart.Bar
Constructs a grouped bar chart using supplied x and y data.
Bar(AxisXY, double[][][]) - Constructor for class com.imsl.chart.Bar
Constructs a stacked, grouped bar chart using supplied y data.
Bar(AxisXY, double[], double[]) - Constructor for class com.imsl.chart.Bar
Constructs a simple bar chart using supplied x and y data.
Bar(AxisXY, double[], double[][]) - Constructor for class com.imsl.chart.Bar
Constructs a grouped bar chart using supplied x and y data.
Bar(AxisXY, double[], double[][][]) - Constructor for class com.imsl.chart.Bar
Constructs a stacked, grouped bar chart using supplied x and y data.
BarItem - class com.imsl.chart.BarItem.
A single bar in a bar chart.
BarSet - class com.imsl.chart.BarSet.
A set of bars in a bar chart.
BARTLETTS_FORMULA - Static variable in class com.imsl.stat.CrossCorrelation
Indicates standard error computation using Bartlett's formula.
BARTLETTS_FORMULA - Static variable in class com.imsl.stat.AutoCorrelation
Indicates standard error computation using Bartlett's formula.
BARTLETTS_FORMULA_NOCC - Static variable in class com.imsl.stat.CrossCorrelation
Indicates standard error computation using Bartlett's formula with the assumption of no cross-correlation.
basis(int, double) - Method in interface com.imsl.stat.RegressionBasis
Public interface for the nonlinear least-squares function.
Basis30e360 - Static variable in class com.imsl.finance.DayCountBasis
Computations based on the assumption of 30 days per month and 360 days per year.
BasisActual360 - Static variable in class com.imsl.finance.DayCountBasis
Computations are based on the number of days in a month based on the actual calendar value and the number of days, but assuming 360 days per year.
BasisActual365 - Static variable in class com.imsl.finance.DayCountBasis
Computations are based on the number of days in a month based on the actual calendar value and the number of days, but assuming 365 days per year.
BasisActualActual - Static variable in class com.imsl.finance.DayCountBasis
Computations are based on the actual calendar.
BasisNASD - Static variable in class com.imsl.finance.DayCountBasis
Computations based on the assumption of 30 days per month and 360 days per year.
BasisPart - interface com.imsl.finance.BasisPart.
Component of DayCountBasis.
BasisPart30E360 - Static variable in class com.imsl.finance.DayCountBasis
Computations based on the assumption of 30 days per month and 360 days per year.
BasisPart365 - Static variable in class com.imsl.finance.DayCountBasis
Computations based on the assumption of 365 days per year.
BasisPartActual - Static variable in class com.imsl.finance.DayCountBasis
Computations are based on the actual calendar.
BasisPartNASD - Static variable in class com.imsl.finance.DayCountBasis
Computations based on the assumption of 30 days per month and 360 days per year.
BEFORE_STEP - Static variable in class com.imsl.math.OdeRungeKutta
 
beforeFirst() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the front of this ResultSet object, just before the first row.
BEGIN_COLUMN_LABEL - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for ending a column label is to be returned.
BEGIN_COLUMN_LABELS - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for beginning a column label row is to be returned.
BEGIN_ENTRY - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatted string for beginning an entry is to be returned.
BEGIN_MATRIX - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for beginning a matrix is to be returned.
BEGIN_ROW - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for beginning a row is to be returned.
BEGIN_ROW_LABEL - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for beginning a row label is to be returned.
beginGet() - Method in class com.imsl.io.AbstractFlatFile
This method should be called at the start of every getXXX method.
Bessel - class com.imsl.math.Bessel.
Collection of Bessel functions.
beta(double, double) - Static method in class com.imsl.math.Sfun
Returns the value of the Beta function.
beta(double, double, double) - Static method in class com.imsl.stat.Cdf
Evaluates the beta probability distribution function.
betaIncomplete(double, double, double) - Static method in class com.imsl.math.Sfun
Returns the incomplete Beta function ratio.
binomial(int, int, double) - Static method in class com.imsl.stat.Cdf
Evaluates the binomial distribution function.
binomialProb(int, int, double) - Static method in class com.imsl.stat.Cdf
Evaluate the binomial probability function.
Bond - class com.imsl.finance.Bond.
Collection of bond functions.
Bond() - Constructor for class com.imsl.finance.Bond
 
BoundedLeastSquares - class com.imsl.math.BoundedLeastSquares.
Solves a nonlinear least-squares problem subject to bounds on the variables using a modified Levenberg-Marquardt algorithm.
BoundedLeastSquares.FalseConvergenceException - exception com.imsl.math.BoundedLeastSquares.FalseConvergenceException.
False convergence - The iterates appear to be converging to a noncritical point.
BoundedLeastSquares.FalseConvergenceException(String) - Constructor for class com.imsl.math.BoundedLeastSquares.FalseConvergenceException
 
BoundedLeastSquares.FalseConvergenceException(String, Object[]) - Constructor for class com.imsl.math.BoundedLeastSquares.FalseConvergenceException
 
BoundedLeastSquares.Function - interface com.imsl.math.BoundedLeastSquares.Function.
Public interface for the user-supplied function to evaluate the function that defines the least-squares problem.
BoundedLeastSquares.Jacobian - interface com.imsl.math.BoundedLeastSquares.Jacobian.
Public interface for the user-supplied function to compute the Jacobian.
BoundedLeastSquares(BoundedLeastSquares.Function, int, int, int, double[], double[]) - Constructor for class com.imsl.math.BoundedLeastSquares
Constructor for BoundedLeastSquares.
BoxPlot - class com.imsl.chart.BoxPlot.
Draws a multiple-group Box plot.
BOXPLOT_TYPE_HORIZONTAL - Static variable in class com.imsl.chart.BoxPlot
Value for attribute "BoxPlotType" indicating that this is a horizontal box plot.
BOXPLOT_TYPE_VERTICAL - Static variable in class com.imsl.chart.BoxPlot
Value for attribute "BoxPlotType" indicating that this is a horizontal box plot.
BoxPlot.Statistics - class com.imsl.chart.BoxPlot.Statistics.
Computes the statistics for a Box plot.
BoxPlot.Statistics(double[]) - Constructor for class com.imsl.chart.BoxPlot.Statistics
Creates a new instance of BoxPlot.Statistics
BoxPlot(AxisXY, double[][]) - Constructor for class com.imsl.chart.BoxPlot
Constructs a box plot chart.
BoxPlot(AxisXY, double[], BoxPlot.Statistics[]) - Constructor for class com.imsl.chart.BoxPlot
Constructs a box plot chart node with specified x values.
BoxPlot(AxisXY, double[], double[][]) - Constructor for class com.imsl.chart.BoxPlot
Constructs a box plot chart node with specified x values.
breakPoint - Variable in class com.imsl.math.Spline
The breakpoint array of length n, where n is the number of piecewise polynomials.
BsInterpolate - class com.imsl.math.BsInterpolate.
Extension of the BSpline class to interpolate data points.
BsInterpolate(double[], double[]) - Constructor for class com.imsl.math.BsInterpolate
Constructs a B-spline that interpolates the given data points.
BsInterpolate(double[], double[], int) - Constructor for class com.imsl.math.BsInterpolate
Constructs a B-spline that interpolates the given data points and order, using a default "not-a-knot" spline knot sequence.
BsInterpolate(double[], double[], int, double[]) - Constructor for class com.imsl.math.BsInterpolate
Constructs a B-spline that interpolates the given data points, using the specified order and knots.
BsLeastSquares - class com.imsl.math.BsLeastSquares.
Extension of the BSpline class to compute a least squares spline approximation to data points.
BsLeastSquares(double[], double[], int) - Constructor for class com.imsl.math.BsLeastSquares
Constructs a least squares B-spline approximation to the given data points.
BsLeastSquares(double[], double[], int, int) - Constructor for class com.imsl.math.BsLeastSquares
Constructs a least squares B-spline approximation to the given data points.
BsLeastSquares(double[], double[], int, int, double[], double[]) - Constructor for class com.imsl.math.BsLeastSquares
Constructs a least squares B-spline approximation to the given data points.
BSpline - class com.imsl.math.BSpline.
Spline represents and evaluates univariate B-splines.
BSpline() - Constructor for class com.imsl.math.BSpline
 
byteValue() - Method in class com.imsl.math.Complex
Returns the value of the real part as a byte.

C

cancelRowUpdates() - Method in class com.imsl.io.AbstractFlatFile
Cancels the updates made to the current row in this ResultSet object.
Candlestick - class com.imsl.chart.Candlestick.
Candlestick plot of stock data.
Candlestick(AxisXY, Date, double[], double[], double[], double[]) - Constructor for class com.imsl.chart.Candlestick
Constructs a candlestick chart node beginning with specified start date.
Candlestick(AxisXY, double[], double[], double[], double[], double[]) - Constructor for class com.imsl.chart.Candlestick
Constructs a candlestick chart node at specified axis points.
CandlestickItem - class com.imsl.chart.CandlestickItem.
A candlestick for the up days or the down days.
Cdf - class com.imsl.stat.Cdf.
Cumulative distribution functions.
cdf(double) - Method in interface com.imsl.stat.CdfFunction
Public interface for the user-supplied cumulative distribution function to be used by InverseCdf.
CdfFunction - interface com.imsl.stat.CdfFunction.
Public interface for the user-supplied cumulative distribution function to be used by InverseCdf and ChiSquaredTest.
ceil(double) - Static method in class com.imsl.math.JMath
Returns the value of a double rounded toward positive infinity to an integral value.
chart - Variable in class com.imsl.chart.JPanelChart
The embedded chart.
Chart - class com.imsl.chart.Chart.
The root node of the chart tree.
Chart() - Constructor for class com.imsl.chart.Chart
This is the root of our tree, it has no parent.
Chart(Component) - Constructor for class com.imsl.chart.Chart
This is the root of our tree, it has no parent.
Chart(Image) - Constructor for class com.imsl.chart.Chart
This is the root of our tree, it has no parent.
ChartFunction - interface com.imsl.chart.ChartFunction.
An interface that allows a function to be plotted.
ChartNode - class com.imsl.chart.ChartNode.
The base class of all of the nodes in the chart tree.
ChartNode(ChartNode) - Constructor for class com.imsl.chart.ChartNode
Construct a ChartNode object.
ChartServlet - class com.imsl.chart.ChartServlet.
The base class for chart servlets.
ChartServlet() - Constructor for class com.imsl.chart.ChartServlet
 
ChartSpline - class com.imsl.chart.ChartSpline.
Wrap a spline into a ChartFunction to be plotted.
ChartSpline(Spline) - Constructor for class com.imsl.chart.ChartSpline
Creates a ChartSpline from a Spline.
ChartSpline(Spline, int) - Constructor for class com.imsl.chart.ChartSpline
Creates a ChartSpline from the derivative of a Spline.
ChartTitle - class com.imsl.chart.ChartTitle.
The main title of a chart.
ChartXML - class com.imsl.chart.xml.ChartXML.
Create a Chart from an XML file.
ChartXML(Document) - Constructor for class com.imsl.chart.xml.ChartXML
Creates a ChartXML from a DOM tree.
ChartXML(InputSource, boolean) - Constructor for class com.imsl.chart.xml.ChartXML
Creates a ChartXML from an XML source.
ChartXML(String) - Constructor for class com.imsl.chart.xml.ChartXML
Creates a ChartXML from an XML file.
ChartXML(String, boolean) - Constructor for class com.imsl.chart.xml.ChartXML
Creates a ChartXML from an XML file.
check(int) - Static method in class com.imsl.Messages
 
check(int) - Method in class com.imsl.chart.Draw
 
checkCompatibility(Physical, Physical) - Static method in class com.imsl.math.Physical
Checks the compatibility of two Physical objects.
checkerboard(int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a checkerboard pattern.
checkMatrix(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Check that all of the rows in the Complex matrix have the same length.
CheckMatrix(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Deprecated. Check that all of the rows in the Complex matrix have the same length.
checkMatrix(double[][]) - Static method in class com.imsl.math.Matrix
Check that all of the rows in the matrix have the same length.
CheckMatrix(double[][]) - Static method in class com.imsl.math.Matrix
Deprecated. Check that all of the rows in the matrix have the same length.
checkSquareMatrix(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Check that the Complex matrix is square.
CheckSquareMatrix(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Deprecated. Check that the Complex matrix is square.
checkSquareMatrix(double[][]) - Static method in class com.imsl.math.Matrix
Check that the matrix is square.
CheckSquareMatrix(double[][]) - Static method in class com.imsl.math.Matrix
Deprecated. Check that the matrix is square.
chi(double, double) - Static method in class com.imsl.stat.Cdf
Evaluate the chi-squared distribution function.
ChiSquaredTest - class com.imsl.stat.ChiSquaredTest.
Chi-squared goodness-of-fit test.
ChiSquaredTest.DidNotConvergeException - exception com.imsl.stat.ChiSquaredTest.DidNotConvergeException.
The iteration did not converge
ChiSquaredTest.DidNotConvergeException(String) - Constructor for class com.imsl.stat.ChiSquaredTest.DidNotConvergeException
 
ChiSquaredTest.DidNotConvergeException(String, Object[]) - Constructor for class com.imsl.stat.ChiSquaredTest.DidNotConvergeException
 
ChiSquaredTest.NoObservationsException - exception com.imsl.stat.ChiSquaredTest.NoObservationsException.
There are no observations.
ChiSquaredTest.NoObservationsException(String, Object[]) - Constructor for class com.imsl.stat.ChiSquaredTest.NoObservationsException
 
ChiSquaredTest.NotCDFException - exception com.imsl.stat.ChiSquaredTest.NotCDFException.
The function is not a Cumulative Distribution Function (CDF).
ChiSquaredTest.NotCDFException(String, Object[]) - Constructor for class com.imsl.stat.ChiSquaredTest.NotCDFException
 
ChiSquaredTest(CdfFunction, double[], int) - Constructor for class com.imsl.stat.ChiSquaredTest
Constructor for the Chi-squared goodness-of-fit test.
ChiSquaredTest(CdfFunction, int, int) - Constructor for class com.imsl.stat.ChiSquaredTest
Constructor for the Chi-squared goodness-of-fit test
ChiSquaredTest(int) - Method in class com.imsl.stat.NormalityTest
Performs the chi-squared goodness-of-fit test.
Cholesky - class com.imsl.math.Cholesky.
Cholesky factorization of a matrix of type double.
Cholesky.NotSPDException - exception com.imsl.math.Cholesky.NotSPDException.
The matrix is not symmetric, positive definite.
Cholesky.NotSPDException() - Constructor for class com.imsl.math.Cholesky.NotSPDException
 
Cholesky(double[][]) - Constructor for class com.imsl.math.Cholesky
Create the Cholesky factorization of a symmetric positive definite matrix of type double.
circle(int, int, int) - Method in class com.imsl.chart.DrawMap
Sets a circle as the target.
clearWarnings() - Method in class com.imsl.io.AbstractFlatFile
Clears all warnings reported on this ResultSet object.
clone() - Method in class com.imsl.chart.Chart
Returns a clone of the graphics tree.
clone(Hashtable) - Method in class com.imsl.chart.Chart
Returns a clone of this node.
clone(Hashtable) - Method in class com.imsl.chart.ChartNode
Returns a deep-copy clone of this node.
clone(Hashtable, Hashtable) - Method in class com.imsl.chart.ChartNode
Returns a deep copy of a Hashtable.
clone(Object, Hashtable) - Method in class com.imsl.chart.ChartNode
Returns a deep copy of an Object.
clone(Vector, Hashtable) - Method in class com.imsl.chart.ChartNode
Returns a deep copy of a vector of ChartNode's.
close() - Method in class com.imsl.io.AbstractFlatFile
Releases this ResultSet object's database and JDBC resources immediately instead of waiting for this to happen when it is automatically closed.
ClusterKMeans - class com.imsl.stat.ClusterKMeans.
Perform a K-means (centroid) cluster analysis.
ClusterKMeans.ClusterNoPointsException - exception com.imsl.stat.ClusterKMeans.ClusterNoPointsException.
There is a cluster with no points
ClusterKMeans.ClusterNoPointsException(String) - Constructor for class com.imsl.stat.ClusterKMeans.ClusterNoPointsException
 
ClusterKMeans.ClusterNoPointsException(String, Object[]) - Constructor for class com.imsl.stat.ClusterKMeans.ClusterNoPointsException
 
ClusterKMeans.NoConvergenceException - exception com.imsl.stat.ClusterKMeans.NoConvergenceException.
Convergence did not occur within the maximum number of iterations.
ClusterKMeans.NoConvergenceException(String) - Constructor for class com.imsl.stat.ClusterKMeans.NoConvergenceException
 
ClusterKMeans.NoConvergenceException(String, Object[]) - Constructor for class com.imsl.stat.ClusterKMeans.NoConvergenceException
 
ClusterKMeans.NonnegativeFreqException - exception com.imsl.stat.ClusterKMeans.NonnegativeFreqException.
Frequencies must be nonnegative.
ClusterKMeans.NonnegativeFreqException(String) - Constructor for class com.imsl.stat.ClusterKMeans.NonnegativeFreqException
 
ClusterKMeans.NonnegativeFreqException(String, Object[]) - Constructor for class com.imsl.stat.ClusterKMeans.NonnegativeFreqException
 
ClusterKMeans.NonnegativeWeightException - exception com.imsl.stat.ClusterKMeans.NonnegativeWeightException.
Weights must be nonnegative.
ClusterKMeans.NonnegativeWeightException(String) - Constructor for class com.imsl.stat.ClusterKMeans.NonnegativeWeightException
 
ClusterKMeans.NonnegativeWeightException(String, Object[]) - Constructor for class com.imsl.stat.ClusterKMeans.NonnegativeWeightException
 
ClusterKMeans(double[][], double[][]) - Constructor for class com.imsl.stat.ClusterKMeans
Constructor for ClusterKMeans.
coef - Variable in class com.imsl.math.BSpline
The B-spline coefficient array.
coef - Variable in class com.imsl.math.Spline
Coefficients of the piecewise polynomials.
COLUMN_LABEL - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatted string for a given column label is to be returned.
com.imsl - package com.imsl
 
com.imsl.chart - package com.imsl.chart
 
com.imsl.chart.xml - package com.imsl.chart.xml
 
com.imsl.finance - package com.imsl.finance
 
com.imsl.io - package com.imsl.io
 
com.imsl.math - package com.imsl.math
 
com.imsl.stat - package com.imsl.stat
 
compareTo(Complex) - Method in class com.imsl.math.Complex
Compares two Complex objects.
compareTo(Object) - Method in class com.imsl.math.Complex
Compares this Complex to another Object.
Complex - class com.imsl.math.Complex.
Set of mathematical functions for complex numbers.
Complex() - Constructor for class com.imsl.math.Complex
Constructs a Complex equal to zero.
Complex(Complex) - Constructor for class com.imsl.math.Complex
Constructs a Complex equal to the argument.
Complex(double) - Constructor for class com.imsl.math.Complex
Constructs a Complex with a zero imaginary part.
Complex(double, double) - Constructor for class com.imsl.math.Complex
Constructs a Complex with real and imaginary parts given by the input arguments.
ComplexFFT - class com.imsl.math.ComplexFFT.
Complex FFT.
ComplexFFT(int) - Constructor for class com.imsl.math.ComplexFFT
Constructs a complex FFT object.
ComplexLU - class com.imsl.math.ComplexLU.
LU factorization of a matrix of type Complex.
ComplexLU(Complex[][]) - Constructor for class com.imsl.math.ComplexLU
Creates the LU factorization of a square matrix of type Complex.
ComplexMatrix - class com.imsl.math.ComplexMatrix.
Complex matrix manipulation functions.
compute() - Method in class com.imsl.stat.WilcoxonRankSum
Performs a Wilcoxon rank sum test.
compute() - Method in class com.imsl.stat.SignTest
Performs a sign test.
compute() - Method in class com.imsl.stat.MultipleComparisons
Performs Student-Newman-Keuls multiple comparisons test.
compute() - Method in class com.imsl.stat.GARCH
Computes estimates of the parameters of a GARCH(p,q) model.
compute() - Method in class com.imsl.stat.ClusterKMeans
Computes the cluster means.
compute() - Method in class com.imsl.stat.ANOVAFactorial
Analyzes a balanced factorial design with fixed effects.
compute() - Method in class com.imsl.stat.ARMA
Computes least-square estimates of parameters for an ARMA model.
compute(double[], double[]) - Method in interface com.imsl.math.BoundedLeastSquares.Function
Public interface for the user-supplied function to evaluate the function that defines the least-squares problem.
compute(double[], double[]) - Method in interface com.imsl.math.BoundedLeastSquares.Jacobian
Public interface for the user-supplied function to compute the Jacobian.
compute(double[], int[]) - Method in class com.imsl.stat.Difference
Computes a Difference series.
compute(int) - Method in class com.imsl.stat.Covariances
Computes the matrix.
computeMin(MinUncon.Function) - Method in class com.imsl.math.MinUncon
Return the minimum of a smooth function of a single variable of type double using function values only or using function values and derivatives.
computeMin(MinUnconMultiVar.Function) - Method in class com.imsl.math.MinUnconMultiVar
Return the minimum point of a function of n variables of type double using a finite-difference gradient or using a user-supplied gradient.
computeRoots(Complex[]) - Method in class com.imsl.math.ZeroPolynomial
Computes the roots of the polynomial with Complex coefficients.
computeRoots(double[]) - Method in class com.imsl.math.ZeroPolynomial
Computes the roots of the polynomial with real coefficients.
computeZeros(ZeroFunction.Function, double[]) - Method in class com.imsl.math.ZeroFunction
Returns the zeros of a univariate function.
condition(Complex[][]) - Method in class com.imsl.math.ComplexLU
Return an estimate of the reciprocal of the L1 condition number.
condition(double[][]) - Method in class com.imsl.math.LU
Return an estimate of the reciprocal of the L1 condition number of a matrix.
confidenceMean(double) - Method in class com.imsl.stat.Summary
Returns the confidence interval for the mean (assuming normality).
confidenceVariance(double) - Method in class com.imsl.stat.Summary
Returns the confidence interval for the variance (assuming normality).
conjugate(Complex) - Static method in class com.imsl.math.Complex
Returns the complex conjugate of a Complex object.
constant(String) - Static method in class com.imsl.math.Physical
Returns the value of a constant, given its name.
constant(String, String) - Static method in class com.imsl.math.Physical
Returns the value of a constant, given its name, in the specified units.
ContingencyTable - class com.imsl.stat.ContingencyTable.
Performs a chi-squared analysis of a two-way contingency table.
ContingencyTable(double[][]) - Constructor for class com.imsl.stat.ContingencyTable
Constructs and performs a chi-squared analysis of a two-way contingency table.
Contour - class com.imsl.chart.Contour.
A Contour chart shows level curves of a two-dimensional function.
Contour.Legend - class com.imsl.chart.Contour.Legend.
A legend for a contour chart.
Contour(AxisXY, double[], double[], double[]) - Constructor for class com.imsl.chart.Contour
Create a Contour chart from scattered data with computed contour levels.
Contour(AxisXY, double[], double[], double[][]) - Constructor for class com.imsl.chart.Contour
Create a Contour chart from rectangularly gridded data with computed contour levels.
Contour(AxisXY, double[], double[], double[][], double[]) - Constructor for class com.imsl.chart.Contour
Create a Contour chart from rectangularly gridded data.
Contour(AxisXY, double[], double[], double[], double[], int) - Constructor for class com.imsl.chart.Contour
Create a Contour chart from scattered data.
ContourLevel - class com.imsl.chart.ContourLevel.
ContourLevel draws a level curve line and the fill area between the level curve and the next smaller level curve.
convert(Physical, String) - Static method in class com.imsl.math.Physical
Converts a value to a different set of units.
convexity(GregorianCalendar, GregorianCalendar, double, double, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the convexity for a security.
copy() - Method in class com.imsl.chart.Chart
Copy the chart to the clipboard.
copyAndSortData(double[], double[]) - Method in class com.imsl.math.Spline
Copy and sort xData into breakPoint and yData into the first column of coef.
copyAndSortData(double[], double[], double[]) - Method in class com.imsl.math.Spline
Copy and sort xData into breakPoint and yData into the first column of coef.
copysign(double, double) - Static method in class com.imsl.math.IEEE
Returns a value with the magnitude of x and with the sign bit of y.
CORRECTED_SSCP_MATRIX - Static variable in class com.imsl.stat.Covariances
Indicates corrected sums of squares and crossproducts matrix.
CORRELATION_MATRIX - Static variable in class com.imsl.stat.FactorAnalysis
Indicates correlation matrix.
CORRELATION_MATRIX - Static variable in class com.imsl.stat.Covariances
Indicates correlation matrix.
cos(Complex) - Static method in class com.imsl.math.Complex
Returns the cosine of a Complex.
cos(double) - Static method in class com.imsl.math.JMath
Returns the cosine of a double.
cosh(Complex) - Static method in class com.imsl.math.Complex
Returns the hyperbolic cosh of a Complex.
cosh(double) - Static method in class com.imsl.math.Hyperbolic
Returns the hyperbolic cosine of its argument.
cot(double) - Static method in class com.imsl.math.Sfun
Returns the cotangent of a double.
countTokens() - Method in class com.imsl.io.Tokenizer
Returns the number of times that the nextToken method can be called without generating an exception.
coupdaybs(GregorianCalendar, GregorianCalendar, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the number of days starting with the beginning of the coupon period and ending with the settlement date.
coupdays(GregorianCalendar, GregorianCalendar, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the number of days in the coupon period containing the settlement date.
coupdaysnc(GregorianCalendar, GregorianCalendar, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the number of days starting with the settlement date and ending with the next coupon date.
coupncd(GregorianCalendar, GregorianCalendar, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the first coupon date which follows the settlement date.
coupnum(GregorianCalendar, GregorianCalendar, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the number of coupons payable between the settlement date and the maturity date.
couppcd(GregorianCalendar, GregorianCalendar, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the coupon date which immediately precedes the settlement date.
Covariances - class com.imsl.stat.Covariances.
Computes the sample variance-covariance or correlation matrix.
Covariances.DiffObsDeletedException - exception com.imsl.stat.Covariances.DiffObsDeletedException.
Different observations are being deleted from return matrix than were originally entered.
Covariances.DiffObsDeletedException(String) - Constructor for class com.imsl.stat.Covariances.DiffObsDeletedException
 
Covariances.DiffObsDeletedException(String, Object[]) - Constructor for class com.imsl.stat.Covariances.DiffObsDeletedException
 
Covariances.MoreObsDelThanEnteredException - exception com.imsl.stat.Covariances.MoreObsDelThanEnteredException.
More observations are being deleted from the output covariance matrix than were originally entered (the corresponding row,column of the incidence matrix is less than zero).
Covariances.MoreObsDelThanEnteredException(String) - Constructor for class com.imsl.stat.Covariances.MoreObsDelThanEnteredException
 
Covariances.MoreObsDelThanEnteredException(String, Object[]) - Constructor for class com.imsl.stat.Covariances.MoreObsDelThanEnteredException
 
Covariances.NonnegativeFreqException - exception com.imsl.stat.Covariances.NonnegativeFreqException.
Frequencies must be nonnegative.
Covariances.NonnegativeFreqException(String) - Constructor for class com.imsl.stat.Covariances.NonnegativeFreqException
 
Covariances.NonnegativeFreqException(String, Object[]) - Constructor for class com.imsl.stat.Covariances.NonnegativeFreqException
 
Covariances.NonnegativeWeightException - exception com.imsl.stat.Covariances.NonnegativeWeightException.
Weights must be nonnegative.
Covariances.NonnegativeWeightException(String) - Constructor for class com.imsl.stat.Covariances.NonnegativeWeightException
 
Covariances.NonnegativeWeightException(String, Object[]) - Constructor for class com.imsl.stat.Covariances.NonnegativeWeightException
 
Covariances.TooManyObsDeletedException - exception com.imsl.stat.Covariances.TooManyObsDeletedException.
More observations have been deleted than were originally entered (the sum of frequencies has become negative).
Covariances.TooManyObsDeletedException(String) - Constructor for class com.imsl.stat.Covariances.TooManyObsDeletedException
 
Covariances.TooManyObsDeletedException(String, Object[]) - Constructor for class com.imsl.stat.Covariances.TooManyObsDeletedException
 
Covariances(double[][]) - Constructor for class com.imsl.stat.Covariances
Constructor for Covariances.
CrossCorrelation - class com.imsl.stat.CrossCorrelation.
Computes the sample cross-correlation function of two stationary time series.
CrossCorrelation.NonPosVariancesException - exception com.imsl.stat.CrossCorrelation.NonPosVariancesException.
The problem is ill-conditioned.
CrossCorrelation.NonPosVariancesException(String) - Constructor for class com.imsl.stat.CrossCorrelation.NonPosVariancesException
 
CrossCorrelation.NonPosVariancesException(String, Object[]) - Constructor for class com.imsl.stat.CrossCorrelation.NonPosVariancesException
 
CrossCorrelation(double[], double[], int) - Constructor for class com.imsl.stat.CrossCorrelation
Constructor to compute the sample cross-correlation function of two stationary time series.
crosshatch(int, int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a horizonal and vertical crosshatch pattern.
CsAkima - class com.imsl.math.CsAkima.
Extension of the Spline class to handle the Akima cubic spline.
CsAkima(double[], double[]) - Constructor for class com.imsl.math.CsAkima
Constructs the Akima cubic spline interpolant to the given data points.
CsInterpolate - class com.imsl.math.CsInterpolate.
Extension of the Spline class to interpolate data points.
CsInterpolate(double[], double[]) - Constructor for class com.imsl.math.CsInterpolate
Constructs a cubic spline that interpolates the given data points.
CsInterpolate(double[], double[], int, double, int, double) - Constructor for class com.imsl.math.CsInterpolate
Constructs a cubic spline that interpolates the given data points with specified derivative endpoint conditions.
CsPeriodic - class com.imsl.math.CsPeriodic.
Extension of the Spline class to interpolate data points with periodic boundary conditions.
CsPeriodic(double[], double[]) - Constructor for class com.imsl.math.CsPeriodic
Constructs a cubic spline that interpolates the given data points with periodic boundary conditions.
CsShape - class com.imsl.math.CsShape.
Extension of the Spline class to interpolate data points consistent with the concavity of the data.
CsShape.TooManyIterationsException - exception com.imsl.math.CsShape.TooManyIterationsException.
Too many iterations.
CsShape.TooManyIterationsException() - Constructor for class com.imsl.math.CsShape.TooManyIterationsException
 
CsShape.TooManyIterationsException(Object[]) - Constructor for class com.imsl.math.CsShape.TooManyIterationsException
 
CsShape.TooManyIterationsException(String, Object[]) - Constructor for class com.imsl.math.CsShape.TooManyIterationsException
 
CsShape(double[], double[]) - Constructor for class com.imsl.math.CsShape
Construct a cubic spline interpolant which is consistent with the concavity of the data.
CsSmooth - class com.imsl.math.CsSmooth.
Extension of the Spline class to construct a smooth cubic spline from noisy data points.
CsSmooth(double[], double[]) - Constructor for class com.imsl.math.CsSmooth
Constructs a smooth cubic spline from noisy data using cross-validation to estimate the smoothing parameter.
CsSmooth(double[], double[], double[]) - Constructor for class com.imsl.math.CsSmooth
Constructs a smooth cubic spline from noisy data using cross-validation to estimate the smoothing parameter.
CsSmoothC2 - class com.imsl.math.CsSmoothC2.
Extension of the Spline class used to construct a spline for noisy data points using an alternate method.
CsSmoothC2(double[], double[], double) - Constructor for class com.imsl.math.CsSmoothC2
Constructs a smooth cubic spline from noisy data using an algorithm based on Reinsch (1967).
CsSmoothC2(double[], double[], double[], double) - Constructor for class com.imsl.math.CsSmoothC2
Constructs a smooth cubic spline from noisy data using an algorithm based on Reinsch (1967) with weights supplied by the user.
cumipmt(double, int, double, int, int, int) - Static method in class com.imsl.finance.Finance
Returns the cumulative interest paid between two periods.
cumprinc(double, int, double, int, int, int) - Static method in class com.imsl.finance.Finance
Returns the cumulative principal paid between two periods.
CURRENT - Static variable in class com.imsl.math.Physical
 
currentType - Variable in class com.imsl.chart.Draw
 

D

DASH_PATTERN_DASH - Static variable in class com.imsl.chart.ChartNode
Flag to draw a dashed line.
DASH_PATTERN_DASH_DOT - Static variable in class com.imsl.chart.ChartNode
Flag to draw a dash-dot pattern line.
DASH_PATTERN_DOT - Static variable in class com.imsl.chart.ChartNode
Flag to draw a dotted line.
DASH_PATTERN_SOLID - Static variable in class com.imsl.chart.ChartNode
Flag to draw solid line.
Data - class com.imsl.chart.Data.
Draws a data node.
DATA_TYPE_ERROR_X - Static variable in class com.imsl.chart.ErrorBar
Value for attribute "DataType" indicating that this is a horizontal error bar.
DATA_TYPE_ERROR_Y - Static variable in class com.imsl.chart.ErrorBar
Value for attribute "DataType" indicating that this is a vertical error bar.
DATA_TYPE_FILL - Static variable in class com.imsl.chart.ChartNode
Value for attribute "DataType" indicating that the area between the lines connecting the data points and the horizontal reference line (y = attribute "Reference") should be filled.
DATA_TYPE_LINE - Static variable in class com.imsl.chart.ChartNode
Value for attribute "DataType" indicating that the data points should be connected with line segments.
DATA_TYPE_MARKER - Static variable in class com.imsl.chart.ChartNode
Value for attribute "DataType" indicating that a marker should be drawn at each data point.
DATA_TYPE_PICTURE - Static variable in class com.imsl.chart.ChartNode
Value for attribute "DataType" indicating that an image (attribute "Image") should be drawn at each data point.
Data(ChartNode) - Constructor for class com.imsl.chart.Data
Creates a data node.
Data(ChartNode, ChartFunction, double, double) - Constructor for class com.imsl.chart.Data
Creates a data node with y values.
Data(ChartNode, double[]) - Constructor for class com.imsl.chart.Data
Creates a data node with y values.
Data(ChartNode, double[], double[]) - Constructor for class com.imsl.chart.Data
Creates a data node with x and y values.
dataRange(double[]) - Method in class com.imsl.chart.ErrorBar
Overrides Data.dataRange.
dataRange(double[]) - Method in class com.imsl.chart.Contour
Update the data range.
dataRange(double[]) - Method in class com.imsl.chart.HighLowClose
Overrides Data.dataRange.
dataRange(double[]) - Method in class com.imsl.chart.BoxPlot
Overrides Data.dataRange.
dataRange(double[]) - Method in class com.imsl.chart.BarItem
Overides Data.dataRange.
dataRange(double[]) - Method in class com.imsl.chart.BarSet
 
dataRange(double[]) - Method in class com.imsl.chart.Bar
Overrides Data.dataRange.
dataRange(double[]) - Method in class com.imsl.chart.Data
Update the data range.
DAY - Static variable in class com.imsl.chart.HighLowClose
Milliseconds per day
DayCountBasis - class com.imsl.finance.DayCountBasis.
The Day Count Basis.
DayCountBasis(BasisPart, BasisPart) - Constructor for class com.imsl.finance.DayCountBasis
Creates a new DayCountBasis.
daysBetween(GregorianCalendar, GregorianCalendar) - Method in interface com.imsl.finance.BasisPart
Returns the number of days from date1 to date2.
daysInPeriod(GregorianCalendar, int) - Method in interface com.imsl.finance.BasisPart
Returns the number of days in a coupon period.
db(double, double, int, int, int) - Static method in class com.imsl.finance.Finance
Returns the depreciation of an asset using the fixed-declining balance method.
ddb(double, double, int, int, double) - Static method in class com.imsl.finance.Finance
Returns the depreciation of an asset using the double-declining balance method.
defineConstant(String, Physical) - Static method in class com.imsl.math.Physical
Defines a new constant.
definePrefix(String, double) - Static method in class com.imsl.math.Physical
Defines a new prefix.
defineUnit(String, Physical) - Static method in class com.imsl.math.Physical
Defines a new unit.
deleteRow() - Method in class com.imsl.io.AbstractFlatFile
Deletes the current row from this ResultSet object and from the underlying database.
derivative(double) - Method in class com.imsl.math.BSpline
Returns the value of the first derivative of the B-spline at a point.
derivative(double) - Method in class com.imsl.math.Spline
Returns the value of the first derivative of the spline at a point.
derivative(double[], int) - Method in class com.imsl.math.BSpline
Returns the value of the derivative of the B-spline at each point of an array.
derivative(double[], int) - Method in class com.imsl.math.Spline
Returns the value of the derivative of the spline at each point of an array.
derivative(double, int) - Method in class com.imsl.math.BSpline
Returns the value of the derivative of the B-spline at a point.
derivative(double, int) - Method in class com.imsl.math.Spline
Returns the value of the derivative of the spline at a point.
descending(double[]) - Static method in class com.imsl.stat.Sort
Sort an array into descending order.
descending(double[][], int) - Static method in class com.imsl.stat.Sort
Function to sort a matrix into descending order by specified keys.
descending(double[][], int[]) - Static method in class com.imsl.stat.Sort
Function to sort a matrix into descending order by specified keys.
descending(double[][], int[], int[]) - Static method in class com.imsl.stat.Sort
Function to sort a matrix into descending order by specified keys.
descending(double[][], int, int[]) - Static method in class com.imsl.stat.Sort
Function to sort an array into descending order by specified keys.
descending(double[], int[]) - Static method in class com.imsl.stat.Sort
Sort an array into descending order.
determinant() - Method in class com.imsl.math.LU
Return the determinant of the matrix used to construct this instance.
determinant() - Method in class com.imsl.math.ComplexLU
Return the determinant of the matrix used to construct this instance.
diagonal(int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a diagonal pattern.
diamond(int, int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a diamond pattern (a checkerboard rotated 45 degrees).
diamondHatch(int, int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a crosshatch on a 45 degree angle.
Difference - class com.imsl.stat.Difference.
Differences a seasonal or nonseasonal time series.
Difference() - Constructor for class com.imsl.stat.Difference
Constructor for Difference.
dim - Variable in class com.imsl.math.Physical
 
disc(GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the implied interest rate of a discount bond.
DiscriminantAnalysis - class com.imsl.stat.DiscriminantAnalysis.
Performs a linear or a quadratic discriminant function analysis among several known groups and the use of either reclassification, split sample, or the leaving-out-one methods in order to evaluate the rule.
DiscriminantAnalysis.CovarianceSingularException - exception com.imsl.stat.DiscriminantAnalysis.CovarianceSingularException.
The variance-Covariance matrix is singular.
DiscriminantAnalysis.CovarianceSingularException(String) - Constructor for class com.imsl.stat.DiscriminantAnalysis.CovarianceSingularException
 
DiscriminantAnalysis.CovarianceSingularException(String, Object[]) - Constructor for class com.imsl.stat.DiscriminantAnalysis.CovarianceSingularException
 
DiscriminantAnalysis.EmptyGroupException - exception com.imsl.stat.DiscriminantAnalysis.EmptyGroupException.
There are no observations in a group.
DiscriminantAnalysis.EmptyGroupException(String) - Constructor for class com.imsl.stat.DiscriminantAnalysis.EmptyGroupException
 
DiscriminantAnalysis.EmptyGroupException(String, Object[]) - Constructor for class com.imsl.stat.DiscriminantAnalysis.EmptyGroupException
 
DiscriminantAnalysis.SumOfWeightsNegException - exception com.imsl.stat.DiscriminantAnalysis.SumOfWeightsNegException.
The sum of the weights have become negative.
DiscriminantAnalysis.SumOfWeightsNegException(String) - Constructor for class com.imsl.stat.DiscriminantAnalysis.SumOfWeightsNegException
 
DiscriminantAnalysis.SumOfWeightsNegException(String, Object[]) - Constructor for class com.imsl.stat.DiscriminantAnalysis.SumOfWeightsNegException
 
DiscriminantAnalysis(int, int) - Constructor for class com.imsl.stat.DiscriminantAnalysis
Constructor for DiscriminantAnalysis.
divide(Complex, Complex) - Static method in class com.imsl.math.Complex
Returns the result of a Complex object divided by a Complex object, x/y.
divide(Complex, double) - Static method in class com.imsl.math.Complex
Returns the result of a Complex object divided by a double, x/y.
divide(double, Complex) - Static method in class com.imsl.math.Complex
Returns the result of a double divided by a Complex object, x/y.
divide(double, Physical) - Static method in class com.imsl.math.Physical
Divide a double by a Physical object.
divide(Physical, double) - Static method in class com.imsl.math.Physical
Divide a Physical object by a double.
divide(Physical, Physical) - Static method in class com.imsl.math.Physical
Divide two Physical objects.
doGet(HttpServletRequest, HttpServletResponse) - Method in class com.imsl.chart.ChartServlet
Returns the chart as a PNG image.
doGetBytes(int) - Method in class com.imsl.io.AbstractFlatFile
Implements the actual getBytes().
doGetBytes(int) - Method in class com.imsl.io.FlatFile
Gets the value of the designated column in the current row of as a byte array.
dollarde(double, int) - Static method in class com.imsl.finance.Finance
Converts a fractional price to a decimal price.
dollarfr(double, int) - Static method in class com.imsl.finance.Finance
Converts a decimal price to a fractional price.
doNext() - Method in class com.imsl.io.AbstractFlatFile
Implements the operations on the file required by the method next().
doNext() - Method in class com.imsl.io.FlatFile
Moves the cursor down one row from its current position.
dot(int, int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a pattern that is an array of circles.
doubleValue() - Method in class com.imsl.math.Physical
Returns the value of this dimensionless object.
doubleValue() - Method in class com.imsl.math.Complex
Returns the value of the real part as a double.
downdate(double[]) - Method in class com.imsl.math.Cholesky
Downdates the factorization by subtracting a rank-1 matrix.
downdateX(double[]) - Method in class com.imsl.stat.NormTwoSample
Removes the observations in x from the first sample.
downdateY(double[]) - Method in class com.imsl.stat.NormTwoSample
Removes the observations in y from the second sample.
Draw - class com.imsl.chart.Draw.
Chart tree renderer.
Draw(Graphics, Dimension) - Constructor for class com.imsl.chart.Draw
Contructs a Draw object.
drawArc(int, int, int, int, int, int) - Method in class com.imsl.chart.DrawPick
Draw an arc.
drawArc(int, int, int, int, int, int) - Method in class com.imsl.chart.DrawMap
Draws the outline of a circular or elliptical arc covering the specified rectangle.
drawArc(int, int, int, int, int, int) - Method in class com.imsl.chart.Draw
Draws the outline of a circular or elliptical arc covering the specified rectangle.
drawErrorBar(int, int, int, int) - Method in class com.imsl.chart.DrawPick
Draw ErrorBar
drawErrorBar(int, int, int, int, int) - Method in class com.imsl.chart.DrawMap
Draw an error bar.
drawErrorBar(int, int, int, int, int) - Method in class com.imsl.chart.Draw
Draw an error bar.
drawImage(Image, int, int) - Method in class com.imsl.chart.DrawPick
Draw Image
drawImage(Image, int, int) - Method in class com.imsl.chart.DrawMap
Draw Image
drawImage(Image, int, int) - Method in class com.imsl.chart.Draw
Draw an image.
drawLine(int, int, int, int) - Method in class com.imsl.chart.DrawPick
Draw a line from (x0,y0) to (x1,y1).
drawLine(int, int, int, int) - Method in class com.imsl.chart.DrawMap
Draw a line from (x0,y0) to (x1,y1).
drawLine(int, int, int, int) - Method in class com.imsl.chart.Draw
Draw a line from (x0,y0) to (x1,y1).
DrawMap - class com.imsl.chart.DrawMap.
Creates an HTML client-side imagemap from a chart tree.
DrawMap(Graphics, Dimension) - Constructor for class com.imsl.chart.DrawMap
Contructs a DrawMap object.
drawMarker(int, int) - Method in class com.imsl.chart.DrawPick
Draw a marker.
drawMarker(int, int) - Method in class com.imsl.chart.DrawMap
Draw a marker.
drawMarker(int, int) - Method in class com.imsl.chart.Draw
Draw a marker.
DrawPick - class com.imsl.chart.DrawPick.
The DrawPick class.
DrawPick(MouseEvent, Graphics, Dimension) - Constructor for class com.imsl.chart.DrawPick
Contructs a DrawPick object.
drawRotatedText(Text, int, int, float) - Method in class com.imsl.chart.Draw
Draws a text object, at the specified angle, with its lower left point being at (x,y).
drawText(Graphics, Text) - Method in class com.imsl.chart.Draw
Draws the text.
drawText(Text, int, int) - Method in class com.imsl.chart.DrawPick
 
drawText(Text, int, int) - Method in class com.imsl.chart.Draw
Draws a text object.
drawText(Text, int, int, boolean) - Method in class com.imsl.chart.DrawMap
 
drawText(Text, int, int, boolean) - Method in class com.imsl.chart.Draw
Draws a text object.
duration(GregorianCalendar, GregorianCalendar, double, double, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the Macaluey's duration of a security where the security has periodic interest payments.

E

E - Static variable in class com.imsl.math.JMath
 
effect(double, int) - Static method in class com.imsl.finance.Finance
Returns the effective annual interest rate.
Eigen - class com.imsl.math.Eigen.
Collection of Eigen System functions.
Eigen.DidNotConvergeException - exception com.imsl.math.Eigen.DidNotConvergeException.
The iteration did not converge
Eigen.DidNotConvergeException(String) - Constructor for class com.imsl.math.Eigen.DidNotConvergeException
 
Eigen.DidNotConvergeException(String, Object[]) - Constructor for class com.imsl.math.Eigen.DidNotConvergeException
 
Eigen(double[][]) - Constructor for class com.imsl.math.Eigen
Constructs the eigenvalues and the eigenvectors of a real square matrix.
Eigen(double[][], boolean) - Constructor for class com.imsl.math.Eigen
Constructs the eigenvalues and (optionally) the eigenvectors of a real square matrix.
END_COLUMN_LABEL - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for ending a column label is to be returned.
END_COLUMN_LABELS - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for ending a column label row is to be returned.
END_ENTRY - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatted string for ending an entry is to be returned.
END_MATRIX - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for ending a matrix is to be returned.
END_ROW - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for ending a row is to be returned.
END_ROW_LABEL - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatting string for ending a row label is to be returned.
endErrorBar() - Method in class com.imsl.chart.DrawPick
End ErrorBar
endErrorBar() - Method in class com.imsl.chart.DrawMap
 
endErrorBar() - Method in class com.imsl.chart.Draw
Stop drawing an error bar.
endFill() - Method in class com.imsl.chart.DrawPick
End fill
endFill() - Method in class com.imsl.chart.DrawMap
 
endFill() - Method in class com.imsl.chart.Draw
Stop drawing a filled region.
endImage() - Method in class com.imsl.chart.DrawPick
End Image
endImage() - Method in class com.imsl.chart.DrawMap
 
endImage() - Method in class com.imsl.chart.Draw
Stop drawing an image.
endLine() - Method in class com.imsl.chart.DrawPick
Finish drawing lines.
endLine() - Method in class com.imsl.chart.DrawMap
 
endLine() - Method in class com.imsl.chart.Draw
Finish drawing lines.
endMarker() - Method in class com.imsl.chart.DrawPick
Finish drawing markers.
endMarker() - Method in class com.imsl.chart.DrawMap
 
endMarker() - Method in class com.imsl.chart.Draw
Finish drawing markers.
endText() - Method in class com.imsl.chart.DrawPick
End Text
endText() - Method in class com.imsl.chart.DrawMap
 
endText() - Method in class com.imsl.chart.Draw
Stop drawing text.
ENTRY - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatted string for a given entry is to be returned.
EPSILON_LARGE - Static variable in class com.imsl.math.Sfun
The largest relative spacing for doubles.
EPSILON_LARGE - Static variable in class com.imsl.math.Spline
The largest relative spacing for double.
EPSILON_SMALL - Static variable in class com.imsl.math.Sfun
The smallest relative spacing for doubles.
EPSILON_SMALL - Static variable in class com.imsl.math.QuadraticProgramming
The smallest relative spacing for doubles.
EPSILON_SMALL - Static variable in class com.imsl.math.ZeroPolynomial
The smallest relative spacing for doubles.
EpsilonAlgorithm - class com.imsl.math.EpsilonAlgorithm.
The class is used to determine the limit of a sequence of approximations, by means of the Epsilon algorithm of P.
EpsilonAlgorithm() - Constructor for class com.imsl.math.EpsilonAlgorithm
 
EpsilonAlgorithm(int) - Constructor for class com.imsl.math.EpsilonAlgorithm
 
equals(Complex) - Method in class com.imsl.math.Complex
Compares with another Complex.
equals(Object) - Method in class com.imsl.math.Complex
Compares this object against the specified object.
erf(double) - Static method in class com.imsl.math.Sfun
Returns the error function of a double.
erfc(double) - Static method in class com.imsl.math.Sfun
Returns the complementary error function of a double.
erfcInverse(double) - Static method in class com.imsl.math.Sfun
Returns the inverse of the complementary error function.
erfInverse(double) - Static method in class com.imsl.math.Sfun
Returns the inverse of the error function.
ERROR_BAR - Static variable in class com.imsl.chart.Draw
 
error(SAXParseException) - Method in class com.imsl.chart.xml.ChartXML
Receive notification of a recoverable error.
error(String, Object[]) - Method in class com.imsl.chart.xml.ChartXML
Handles error messages.
ErrorBar - class com.imsl.chart.ErrorBar.
Data points with error bars.
ErrorBar(AxisXY, double[], double[], double[], double[]) - Constructor for class com.imsl.chart.ErrorBar
Creates a set of error bars centered at (x[k],y[k]) and with extents low[k],high[k].
eval(double, double) - Method in class com.imsl.stat.InverseCdf
Evaluates the inverse CDF function.
eval(HyperRectangleQuadrature.Function) - Method in class com.imsl.math.HyperRectangleQuadrature
Returns the value of the integral over the unit cube.
eval(HyperRectangleQuadrature.Function, double[], double[]) - Method in class com.imsl.math.HyperRectangleQuadrature
Returns the value of the integral over a cube.
eval(Quadrature.Function, double, double) - Method in class com.imsl.math.Quadrature
Returns the value of the integral from a to b.
examineStep(int, double, double[]) - Method in class com.imsl.math.OdeRungeKutta
Called before and after each internal step.
excludeFirst(boolean) - Method in class com.imsl.stat.Difference
If set to true, the observations lost due to differencing will be excluded.
exp(Complex) - Static method in class com.imsl.math.Complex
Returns the exponential of a Complex z, exp(z).
exp(double) - Static method in class com.imsl.math.JMath
Returns the exponential of a double.
expectedNormalOrderStatistic(int, int) - Static method in class com.imsl.stat.Ranks
Returns the expected value of a normal order statistic.
expm1(double) - Static method in class com.imsl.math.Hyperbolic
Returns exp(x)-1, the exponential of x minus 1.
extrapolate(double) - Method in class com.imsl.math.EpsilonAlgorithm
Extrapolates the convergence limit of a sequence.

F

f(double) - Method in class com.imsl.chart.ChartSpline
Function to be charted.
f(double) - Method in interface com.imsl.chart.ChartFunction
Function to be charted.
f(double) - Method in interface com.imsl.math.ZeroFunction.Function
Returns the value of the function at the given point.
f(double) - Method in interface com.imsl.math.RadialBasis.Function
A radial basis function.
f(double) - Method in class com.imsl.math.RadialBasis.HardyMultiquadric
 
f(double) - Method in class com.imsl.math.RadialBasis.Gaussian
 
f(double) - Method in interface com.imsl.math.MinUncon.Function
Public interface for the smooth function of a single variable to be minimized.
f(double) - Method in interface com.imsl.math.Quadrature.Function
Returns the value of the function at the given point.
f(double[]) - Method in interface com.imsl.math.MinConGenLin.Function
Public interface for the function to be minimized.
f(double[]) - Method in interface com.imsl.math.HyperRectangleQuadrature.Function
Returns the value of the function at the given point.
f(double[]) - Method in interface com.imsl.math.MinUnconMultiVar.Function
Public interface for the multivariate function to be minimized.
f(double[], double[]) - Method in interface com.imsl.math.ZeroSystem.Function
Returns the value of the function at the given point.
f(double[], double[]) - Method in interface com.imsl.math.NonlinLeastSquares.Function
Public interface for the nonlinear least-squares function.
f(double[], int, boolean) - Method in interface com.imsl.math.MinConNLP.Function
Compute the value of the function at the given point.
f(double, double[], double[]) - Method in interface com.imsl.math.OdeRungeKutta.Function
Returns the value of the function at the given point.
F(double, double, double) - Static method in class com.imsl.stat.Cdf
Evaluates the F distribution function.
fact(int) - Static method in class com.imsl.math.Sfun
Returns the factorial of an integer.
factor - Variable in class com.imsl.math.LU
 
factor - Variable in class com.imsl.math.ComplexLU
 
FactorAnalysis - class com.imsl.stat.FactorAnalysis.
Performs Principal Component Analysis or Factor Analysis on a covariance or correlation matrix.
FactorAnalysis.BadVarianceException - exception com.imsl.stat.FactorAnalysis.BadVarianceException.
Bad variance error.
FactorAnalysis.BadVarianceException(String) - Constructor for class com.imsl.stat.FactorAnalysis.BadVarianceException
 
FactorAnalysis.BadVarianceException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.BadVarianceException
 
FactorAnalysis.EigenvalueException - exception com.imsl.stat.FactorAnalysis.EigenvalueException.
Eigenvalue error.
FactorAnalysis.EigenvalueException(String) - Constructor for class com.imsl.stat.FactorAnalysis.EigenvalueException
 
FactorAnalysis.EigenvalueException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.EigenvalueException
 
FactorAnalysis.NoDegreesOfFreedomException - exception com.imsl.stat.FactorAnalysis.NoDegreesOfFreedomException.
No degrees of freedom error.
FactorAnalysis.NoDegreesOfFreedomException(String) - Constructor for class com.imsl.stat.FactorAnalysis.NoDegreesOfFreedomException
 
FactorAnalysis.NoDegreesOfFreedomException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.NoDegreesOfFreedomException
 
FactorAnalysis.NonPositiveEigenvalueException - exception com.imsl.stat.FactorAnalysis.NonPositiveEigenvalueException.
Non positive eigenvalue error.
FactorAnalysis.NonPositiveEigenvalueException(String) - Constructor for class com.imsl.stat.FactorAnalysis.NonPositiveEigenvalueException
 
FactorAnalysis.NonPositiveEigenvalueException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.NonPositiveEigenvalueException
 
FactorAnalysis.NotPositiveDefiniteException - exception com.imsl.stat.FactorAnalysis.NotPositiveDefiniteException.
Covariance matrix not positive definite.
FactorAnalysis.NotPositiveDefiniteException(String) - Constructor for class com.imsl.stat.FactorAnalysis.NotPositiveDefiniteException
 
FactorAnalysis.NotPositiveDefiniteException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.NotPositiveDefiniteException
 
FactorAnalysis.NotPositiveSemiDefiniteException - exception com.imsl.stat.FactorAnalysis.NotPositiveSemiDefiniteException.
Covariance matrix not positive semi-definite.
FactorAnalysis.NotPositiveSemiDefiniteException(String) - Constructor for class com.imsl.stat.FactorAnalysis.NotPositiveSemiDefiniteException
 
FactorAnalysis.NotPositiveSemiDefiniteException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.NotPositiveSemiDefiniteException
 
FactorAnalysis.NotSemiDefiniteException - exception com.imsl.stat.FactorAnalysis.NotSemiDefiniteException.
Hessian matrix not semi-definite.
FactorAnalysis.NotSemiDefiniteException(String) - Constructor for class com.imsl.stat.FactorAnalysis.NotSemiDefiniteException
 
FactorAnalysis.NotSemiDefiniteException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.NotSemiDefiniteException
 
FactorAnalysis.RankException - exception com.imsl.stat.FactorAnalysis.RankException.
Rank of covariance matrix error.
FactorAnalysis.RankException(String) - Constructor for class com.imsl.stat.FactorAnalysis.RankException
 
FactorAnalysis.RankException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.RankException
 
FactorAnalysis.SingularException - exception com.imsl.stat.FactorAnalysis.SingularException.
Covariance matrix singular error.
FactorAnalysis.SingularException(String) - Constructor for class com.imsl.stat.FactorAnalysis.SingularException
 
FactorAnalysis.SingularException(String, Object[]) - Constructor for class com.imsl.stat.FactorAnalysis.SingularException
 
FactorAnalysis(double[][], int, int) - Constructor for class com.imsl.stat.FactorAnalysis
Constructor for FactorAnalysis.
fatalError(SAXParseException) - Method in class com.imsl.chart.xml.ChartXML
Receive notification of a non-recoverable error.
FaureSequence - class com.imsl.stat.FaureSequence.
Generates the low-discrepancy Faure sequence.
FaureSequence(int) - Constructor for class com.imsl.stat.FaureSequence
Creates a Faure sequence with the default base.
FaureSequence(int, int, int) - Constructor for class com.imsl.stat.FaureSequence
Creates a Faure sequence.
FFT - class com.imsl.math.FFT.
FFT functions.
FFT(int) - Constructor for class com.imsl.math.FFT
Constructs an FFT object.
FILL - Static variable in class com.imsl.chart.Draw
 
FILL_TYPE_GRADIENT - Static variable in class com.imsl.chart.ChartNode
Value for attribute "FillType" indicating that the region is to be drawn in a color gradient as specified by the attribute Gradient.
FILL_TYPE_NONE - Static variable in class com.imsl.chart.ChartNode
Value for attribute "FillType" and "FillOutlineType" indicating that the region is not to be drawn.
FILL_TYPE_PAINT - Static variable in class com.imsl.chart.ChartNode
Value for attribute "FillType" indicating that the region is to be drawn using the texture specified by the attribute FillPaint.
FILL_TYPE_SOLID - Static variable in class com.imsl.chart.ChartNode
Value for attribute "FillType" and "FillOutlineType" indicating that the region is to be drawn using the solid color specified by the attribute FillColor or FillOutlineColor.
fillArc(int, int, int, int, int, int) - Method in class com.imsl.chart.DrawPick
Fills a circular or elliptical arc covering the specified rectangle.
fillArc(int, int, int, int, int, int) - Method in class com.imsl.chart.DrawMap
Fills a circular or elliptical arc covering the specified rectangle.
fillArc(int, int, int, int, int, int) - Method in class com.imsl.chart.Draw
Fills a circular or elliptical arc covering the specified rectangle.
fillColor - Variable in class com.imsl.chart.Draw
 
fillOutlineColor - Variable in class com.imsl.chart.Draw
 
fillOutlineType - Variable in class com.imsl.chart.Draw
 
fillPaint - Variable in class com.imsl.chart.Draw
 
FillPaint - class com.imsl.chart.FillPaint.
A collection of methods to create Paint objects for fill areas.
fillPolygon(int[], int[], int) - Method in class com.imsl.chart.DrawPick
Fill a polygon.
fillPolygon(int[], int[], int) - Method in class com.imsl.chart.DrawMap
Fill a polygon.
fillPolygon(int[], int[], int) - Method in class com.imsl.chart.Draw
Fill a polygon.
fillPolygon(Polygon) - Method in class com.imsl.chart.DrawPick
Fill a polygon defined by a Polygon object.
fillPolygon(Polygon) - Method in class com.imsl.chart.DrawMap
Fill a polygon defined by a Polygon object.
fillPolygon(Polygon) - Method in class com.imsl.chart.Draw
Fill a polygon defined by a Polygon object.
fillRectangle(int, int, int, int) - Method in class com.imsl.chart.DrawPick
Fill a rectangle.
fillRectangle(int, int, int, int) - Method in class com.imsl.chart.DrawMap
Fill a rectangle.
fillRectangle(int, int, int, int) - Method in class com.imsl.chart.Draw
Fill a rectangle.
fillType - Variable in class com.imsl.chart.Draw
 
filter() - Method in class com.imsl.stat.KalmanFilter
Performs Kalman filtering and evaluates the likelihood function for the state-space model.
finalize() - Method in class com.imsl.chart.Chart
 
Finance - class com.imsl.finance.Finance.
Collection of finance functions.
findColumn(String) - Method in class com.imsl.io.AbstractFlatFile
Maps the given ResultSet column name to its ResultSet column index.
findColumnName(int) - Method in class com.imsl.io.AbstractFlatFile
Maps the given columnIndex into its column name.
finite(double) - Static method in class com.imsl.math.IEEE
Finite number test on an argument of type double.
fire() - Method in class com.imsl.chart.DrawPick
Fires the pickListeners for all of the picked nodes.
firePickListeners(MouseEvent) - Method in class com.imsl.chart.ChartNode
Fires the pick listeners defined at this node and at all of its ancestors, if the event "hits" the node.
FIRST_DERIVATIVE - Static variable in class com.imsl.math.CsInterpolate
 
first() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the first row in this ResultSet object.
FlatFile - class com.imsl.io.FlatFile.
Reads a text file as a ResultSet.
FlatFile.Parser - interface com.imsl.io.FlatFile.Parser.
Defines a method that parses a String into an Object.
FlatFile(BufferedReader) - Constructor for class com.imsl.io.FlatFile
Creates a FlatFile with the CSV tokenizer.
FlatFile(BufferedReader, Tokenizer) - Constructor for class com.imsl.io.FlatFile
Creates a FlatFile from a BufferedReader.
FlatFile(String) - Constructor for class com.imsl.io.FlatFile
Creates a FlatFile from a CSV file.
FlatFile(String, Tokenizer) - Constructor for class com.imsl.io.FlatFile
Creates a FlatFile from a file with the default tokenizer.
floatValue() - Method in class com.imsl.math.Physical
Returns the value of this dimensionless object.
floatValue() - Method in class com.imsl.math.Complex
Returns the value of the real part as a float.
floor(double) - Static method in class com.imsl.math.JMath
Returns the value of a double rounded toward negative infinity to an integral value.
forecast(int) - Method in class com.imsl.stat.ARMA
Computes forecasts and their associated probability limits for an ARMA model.
format(int, Object, int, int, ParsePosition) - Method in class com.imsl.math.PrintMatrixFormat
Returns a formatted string.
format(LogRecord) - Method in class com.imsl.math.MinConNLP.Formatter
 
formatLabel(double, double) - Method in class com.imsl.chart.Data
 
formatMessage(String, String) - Static method in class com.imsl.Messages
A message is formatted, without arguments, using a MessageFormat string retrieved from the named resource bundle using the given key.
formatMessage(String, String, Object[]) - Static method in class com.imsl.Messages
A message is formatted using a MessageFormat string retrieved from the named resource bundle using the given key.
forward(Complex[]) - Method in class com.imsl.math.ComplexFFT
Compute the Fourier coefficients of a complex periodic sequence.
forward(double[]) - Method in class com.imsl.math.FFT
Compute the Fourier coefficients of a real periodic sequence.
frobeniusNorm(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Return the frobenius norm of a Complex matrix.
frobeniusNorm(double[][]) - Static method in class com.imsl.math.Matrix
Return the frobenius norm of a matrix.
FULL - Static variable in class com.imsl.math.PrintMatrix
This flag as the argument to setMatrixType, indicates that the full matrix is to be printed.
fv(double, int, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the future value of an investment.
fvschedule(double, double[]) - Static method in class com.imsl.finance.Finance
Returns the future value of an initial principal taking into consideration a schedule of compound interest rates.

G

g(double) - Method in interface com.imsl.math.RadialBasis.Function
The derivative of the radial basis function.
g(double) - Method in class com.imsl.math.RadialBasis.HardyMultiquadric
 
g(double) - Method in class com.imsl.math.RadialBasis.Gaussian
 
g(double) - Method in interface com.imsl.math.MinUncon.Derivative
Public interface for the smooth function of a single variable to be minimized.
gamma(double) - Static method in class com.imsl.math.Sfun
Returns the Gamma function of a double.
gamma(double, double) - Static method in class com.imsl.stat.Cdf
Evaluates the gamma distribution function.
GARCH - class com.imsl.stat.GARCH.
Computes estimates of the parameters of a GARCH(p,q) model.
GARCH.ConstrInconsistentException - exception com.imsl.stat.GARCH.ConstrInconsistentException.
The equality constraints are inconsistent.
GARCH.ConstrInconsistentException(String) - Constructor for class com.imsl.stat.GARCH.ConstrInconsistentException
 
GARCH.ConstrInconsistentException(String, Object[]) - Constructor for class com.imsl.stat.GARCH.ConstrInconsistentException
 
GARCH.EqConstrInconsistentException - exception com.imsl.stat.GARCH.EqConstrInconsistentException.
The equality constraints and the bounds on the variables are found to be inconsistent.
GARCH.EqConstrInconsistentException(String) - Constructor for class com.imsl.stat.GARCH.EqConstrInconsistentException
 
GARCH.EqConstrInconsistentException(String, Object[]) - Constructor for class com.imsl.stat.GARCH.EqConstrInconsistentException
 
GARCH.NoVectorXException - exception com.imsl.stat.GARCH.NoVectorXException.
No vector X satisfies all of the constraints.
GARCH.NoVectorXException(String) - Constructor for class com.imsl.stat.GARCH.NoVectorXException
 
GARCH.NoVectorXException(String, Object[]) - Constructor for class com.imsl.stat.GARCH.NoVectorXException
 
GARCH.TooManyIterationsException - exception com.imsl.stat.GARCH.TooManyIterationsException.
Number of function evaluations exceeded 1000.
GARCH.TooManyIterationsException(String) - Constructor for class com.imsl.stat.GARCH.TooManyIterationsException
 
GARCH.TooManyIterationsException(String, Object[]) - Constructor for class com.imsl.stat.GARCH.TooManyIterationsException
 
GARCH.VarsDeterminedException - exception com.imsl.stat.GARCH.VarsDeterminedException.
The variables are determined by the equality constraints.
GARCH.VarsDeterminedException(String) - Constructor for class com.imsl.stat.GARCH.VarsDeterminedException
 
GARCH.VarsDeterminedException(String, Object[]) - Constructor for class com.imsl.stat.GARCH.VarsDeterminedException
 
GARCH(int, int, double[], double[]) - Constructor for class com.imsl.stat.GARCH
Constructor for GARCH.
GENERALIZED_LEAST_SQUARES - Static variable in class com.imsl.stat.FactorAnalysis
Indicates generalized least squares method.
get(String) - Method in class com.imsl.chart.xml.ChartXML
Returns a generated object given the id attribute in the XML tag that created the object.
getAdjustedRSquared() - Method in class com.imsl.stat.ANOVA
Returns the adjusted R-squared (in percent).
getAkaike() - Method in class com.imsl.stat.GARCH
Returns the value of Akaike Information Criterion evaluated at the estimated parameter array.
getAlignment() - Method in class com.imsl.chart.Text
Gets the alignment for this Text object.
getANOVA() - Method in class com.imsl.math.RadialBasis
Returns the ANOVA statistics from the linear regression.
getANOVA() - Method in class com.imsl.stat.LinearRegression
Get an analysis of variance table and related statistics.
getANOVA() - Method in class com.imsl.stat.UserBasisRegression
Get an analysis of variance table and related statistics.
getANOVATable() - Method in class com.imsl.stat.ANOVAFactorial
Returns the analysis of variance table.
getAR() - Method in class com.imsl.stat.GARCH
Returns the estimated values of autoregressive (AR) parameters.
getAR() - Method in class com.imsl.stat.ARMA
Returns the final autoregressive parameter estimates.
getArray() - Method in class com.imsl.stat.ANOVA
Returns the ANOVA values as an array.
getArray(int) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as an Array object in the Java programming language.
getArray(String) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as an Array object in the Java programming language.
getAsciiStream(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a stream of ASCII characters.
getAsciiStream(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a stream of ASCII characters.
getAttribute(String) - Method in class com.imsl.chart.ChartNode
Gets an attribute.
getAutoCorrelations() - Method in class com.imsl.stat.AutoCorrelation
Returns the autocorrelations of the time series x.
getAutoCorrelationX() - Method in class com.imsl.stat.CrossCorrelation
Returns the autocorrelations of the time series x.
getAutoCorrelationY() - Method in class com.imsl.stat.CrossCorrelation
Returns the autocorrelations of the time series y.
getAutoCovariance() - Method in class com.imsl.stat.ARMA
Returns the autocovariances of the time series z.
getAutoCovariances() - Method in class com.imsl.stat.AutoCorrelation
Returns the variance and autocovariances of the time series x.
getAutoCovarianceX() - Method in class com.imsl.stat.CrossCorrelation
Returns the autocovariances of the time series x.
getAutoCovarianceY() - Method in class com.imsl.stat.CrossCorrelation
Returns the autocovariances of the time series y.
getAutoscaleInput() - Method in class com.imsl.chart.ChartNode
Returns the value of the "AutoscaleInput" attribute.
getAutoscaleMinimumTimeInterval() - Method in class com.imsl.chart.ChartNode
Returns the value of the "AutoscaleMinimumTimeInterval" attribute.
getAutoscaleOutput() - Method in class com.imsl.chart.ChartNode
Returns the value of the "AutoscaleOutput" attribute.
getAxis() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Axis" attribute.
getAxisLabel() - Method in class com.imsl.chart.Axis1D
Returns the label node associated with this axis.
getAxisLine() - Method in class com.imsl.chart.Axis1D
Returns the axis line node associated with this axis.
getAxisR() - Method in class com.imsl.chart.Polar
Return the radius axis node.
getAxisRLabel() - Method in class com.imsl.chart.AxisR
Returns the AxisRLabel node.
getAxisRLine() - Method in class com.imsl.chart.AxisR
Returns the AxisRLine node.
getAxisRMajorTick() - Method in class com.imsl.chart.AxisR
Returns the major tick node associated with this axis.
getAxisTheta() - Method in class com.imsl.chart.Polar
Return the angular axis node.
getAxisTitle() - Method in class com.imsl.chart.Axis1D
Returns the title node associated with this axis.
getAxisUnit() - Method in class com.imsl.chart.Axis1D
Returns the unit node associated with this axis.
getAxisX() - Method in class com.imsl.chart.AxisXY
Return the x-axis node.
getAxisY() - Method in class com.imsl.chart.AxisXY
Return the y-axis node.
getBackground() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Background" attribute.
getBalancedTable() - Method in class com.imsl.stat.TableMultiWay
Returns an object containing the balanced table.
getBarData() - Method in class com.imsl.chart.Bar
Returns the "BarData" attribute.
getBarGap() - Method in class com.imsl.chart.ChartNode
Returns the value of the "BarGap" attribute.
getBarItem() - Method in class com.imsl.chart.BarSet
Returns the "BarItem" attribute.
getBarItem(int) - Method in class com.imsl.chart.BarSet
Returns the "BarItem" attribute given the index.
getBarSet() - Method in class com.imsl.chart.Bar
Returns the "BarSet" attribute.
getBarSet(int) - Method in class com.imsl.chart.Bar
Returns the "BarSet" attribute.
getBarSet(int, int) - Method in class com.imsl.chart.Bar
Returns the "BarSet" attribute.
getBarType() - Method in class com.imsl.chart.ChartNode
Returns the value of the "BarType" attribute.
getBarWidth() - Method in class com.imsl.chart.ChartNode
Returns the value of the "BarWidth" attribute.
getBase() - Method in class com.imsl.stat.FaureSequence
Returns the base.
getBigDecimal(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.math.BigDecimal with full precision.
getBigDecimal(int, int) - Method in class com.imsl.io.AbstractFlatFile
Deprecated.  
getBigDecimal(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.math.BigDecimal with full precision.
getBigDecimal(String, int) - Method in class com.imsl.io.AbstractFlatFile
Deprecated.  
getBinaryStream(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of a column in the current row as a stream of Gets the value of the designated column in the current row of this ResultSet object as a binary stream of uninterpreted bytes.
getBinaryStream(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a stream of uninterpreted bytes.
getBlob(int) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a Blob object in the Java programming language.
getBlob(String) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a Blob object in the Java programming language.
getBlomScores(double[]) - Method in class com.imsl.stat.Ranks
Gets the Blom version of normal scores for each observation.
getBodies() - Method in class com.imsl.chart.BoxPlot
Returns the Bodies node.
getBoolean(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a boolean in the Java programming language.
getBoolean(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a boolean in the Java programming language.
getBooleanAttribute(String, boolean) - Method in class com.imsl.chart.ChartNode
Convenience routine to get a Boolean-valued attribute.
getBoxPlotType() - Method in class com.imsl.chart.BoxPlot
Returns the value of the "BoxPlotType" attribute.
getBreakpoints() - Method in class com.imsl.math.Spline
Returns a copy of the breakpoints.
getByte(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a byte in the Java programming language.
getByte(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a byte in the Java programming language.
getBytes(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a byte array in the Java programming language.
getBytes(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a byte array in the Java programming language.
getCellCounts() - Method in class com.imsl.stat.ChiSquaredTest
Returns the cell counts.
getCharacterStream(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.io.Reader object.
getCharacterStream(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.io.Reader object.
getChart() - Method in class com.imsl.chart.JPanelChart
Return the Chart object.
getChart() - Method in class com.imsl.chart.JFrameChart
Return the Chart object.
getChart() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Chart" attribute.
getChart() - Method in class com.imsl.chart.xml.ChartXML
Returns the root node of the chart tree.
getChart(HttpServletRequest) - Method in class com.imsl.chart.ChartServlet
Returns the chart found in the session saved with the key "chart"+id, where id is the value of the "id" parameter in the request.
getChartServletName() - Method in class com.imsl.chart.JspBean
Returns the URL of the servlet used to render the chart.
getChartTitle() - Method in class com.imsl.chart.ChartNode
Returns the value of the "ChartTitle" attribute.
getChildren() - Method in class com.imsl.chart.ChartNode
Returns an array of the children of this node.
getChiSquared() - Method in class com.imsl.stat.NormalityTest
Returns the chi-square statistic for the chi-squared goodness-of-fit test.
getChiSquared() - Method in class com.imsl.stat.ContingencyTable
Returns the Pearson chi-squared test statistic.
getChiSquared() - Method in class com.imsl.stat.ChiSquaredTest
Returns the chi-squared statistic.
getChiSquaredTest() - Method in class com.imsl.stat.NormTwoSample
Returns the test statistic associated with the chi-squared test for common, or pooled, variances.
getChiSquaredTest() - Method in class com.imsl.stat.NormOneSample
Returns the test statistic associated with the chi-squared test for variances.
getChiSquaredTestDF() - Method in class com.imsl.stat.NormTwoSample
Returns the degrees of freedom associated with the chi-squared test for the common, or pooled, variances.
getChiSquaredTestDF() - Method in class com.imsl.stat.NormOneSample
Returns the degrees of freedom associated with the chi-squared test for variances.
getChiSquaredTestP() - Method in class com.imsl.stat.NormTwoSample
Returns the probability of a larger chi-squared associated with the chi-squared test for common, or pooled, variances.
getChiSquaredTestP() - Method in class com.imsl.stat.NormOneSample
Returns the probability of a larger chi-squared associated with the chi-squared test for variances.
getClassMembership() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the group number to which the observation was classified.
getClassTable() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the classification table.
getClipBounds() - Method in class com.imsl.chart.Draw
Get the clipping rectangle.
getClipData() - Method in class com.imsl.chart.ChartNode
Returns the value of the "ClipData" attribute.
getClob(int) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a Clob object in the Java programming language.
getClob(String) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a Clob object in the Java programming language.
getClose() - Method in class com.imsl.chart.HighLowClose
Gets the value of the attribute "Close".
getClusterCounts() - Method in class com.imsl.stat.ClusterKMeans
Returns the number of observations in each cluster.
getClusterMembership() - Method in class com.imsl.stat.ClusterKMeans
Returns the cluster membership for each observation.
getClusterSSQ() - Method in class com.imsl.stat.ClusterKMeans
Returns the within sum of squares for each cluster.
getCoefficientOfVariation() - Method in class com.imsl.stat.ANOVA
Returns the coefficient of variation (in percent).
getCoefficients() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the linear discriminant function coefficients.
getCoefficients() - Method in class com.imsl.stat.LinearRegression
Returns the regression coefficients.
getCoefficients() - Method in class com.imsl.stat.UserBasisRegression
Returns the regression coefficients.
getColorAttribute(String) - Method in class com.imsl.chart.ChartNode
Convenience routine to get a Color-valued attribute.
getColumnClass(int) - Method in class com.imsl.io.AbstractFlatFile
Returns the class of the items in the specified column.
getColumnCount() - Method in class com.imsl.io.AbstractFlatFile
Returns the number of columns in this ResultSet object.
getColumnCount() - Method in class com.imsl.io.FlatFile
Returns the number of columns in this ResultSet object.
getComponent() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Component" attribute.
getConcatenatedViewport() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Viewport" attribute concatenated with the "Viewport" attributes set in its ancestor nodes.
getConcurrency() - Method in class com.imsl.io.AbstractFlatFile
Returns the concurrency mode of this ResultSet object.
getConstant() - Method in class com.imsl.stat.ARMA
Returns the constant parameter estimate.
getContingencyCoef() - Method in class com.imsl.stat.ContingencyTable
Returns contingency coefficient.
getContourLegend() - Method in class com.imsl.chart.Contour
Returns the contour chart legend.
getContourLevel() - Method in class com.imsl.chart.Contour
Returns all of the contour levels.
getContourLevel(int) - Method in class com.imsl.chart.Contour
Returns a ContourLevel.
getContributions() - Method in class com.imsl.stat.ContingencyTable
Returns the contributions to chi-squared for each cell in the table.
getCorrelations() - Method in class com.imsl.stat.FactorAnalysis
Returns the correlations of the principal components.
getCovariance() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the array of covariances.
getCovB() - Method in class com.imsl.stat.KalmanFilter
Returns the mean squared error matrix for b divided by sigma squared.
getCovV() - Method in class com.imsl.stat.KalmanFilter
Returns the variance-covariance matrix of v dividied by sigma squared.
getCramersV() - Method in class com.imsl.stat.ContingencyTable
Returns Cramer's V.
getCreateImageMap() - Method in class com.imsl.chart.JspBean
Returns true if a client-side imagemap is to be created.
getCross() - Method in class com.imsl.chart.AxisXY
Returns the value of the "Cross" attribute.
getCrossCorrelation() - Method in class com.imsl.stat.MultiCrossCorrelation
Returns the cross-correlations between the channels of x and y.
getCrossCorrelation() - Method in class com.imsl.stat.CrossCorrelation
Returns the cross-correlations between the time series x and y.
getCrossCovariance() - Method in class com.imsl.stat.MultiCrossCorrelation
Returns the cross-covariances between the channels of x and y.
getCrossCovariance() - Method in class com.imsl.stat.CrossCorrelation
Returns the cross-covariances between the time series x and y.
getCursorName() - Method in class com.imsl.io.AbstractFlatFile
Gets the name of the SQL cursor used by this ResultSet object.
getCustomTransform() - Method in class com.imsl.chart.ChartNode
Returns the value of the "CustomTransform" attribute.
getCutpoints() - Method in class com.imsl.stat.ChiSquaredTest
Returns the cutpoints.
getDataType() - Method in class com.imsl.chart.ChartNode
Returns the value of the "DataType" attribute.
getDate(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.sql.Date object in the Java programming language.
getDate(int, Calendar) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a java.sql.Date object in the Java programming language.
getDate(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.sql.Date object in the Java programming language.
getDate(String, Calendar) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a java.sql.Date object in the Java programming language.
getDaysInYear(GregorianCalendar, GregorianCalendar) - Method in interface com.imsl.finance.BasisPart
Returns the number of days in the year.
getDegreesOfFreedom() - Method in class com.imsl.stat.NormalityTest
Returns the degrees of freedom for the chi-squared goodness-of-fit test.
getDegreesOfFreedom() - Method in class com.imsl.stat.ContingencyTable
Returns the degrees of freedom for the chi-squared tests associated with the table.
getDegreesOfFreedom() - Method in class com.imsl.stat.ChiSquaredTest
Returns the degrees of freedom in chi-squared.
getDegreesOfFreedomForError() - Method in class com.imsl.stat.ANOVA
Returns the degrees of freedom for error.
getDegreesOfFreedomForModel() - Method in class com.imsl.stat.ANOVA
Returns the degrees of freedom for model.
getDensity() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Density" attribute.
getDeviations() - Method in class com.imsl.stat.ARMA
Returns the deviations from each forecast that give the confidence percent probability limits
getDeviceMarkerSize() - Method in class com.imsl.chart.Draw
Returns the marker size in device corrdinates.
getDiffMean() - Method in class com.imsl.stat.NormTwoSample
Returns the difference in means, mean of x - mean of y.
getDimension() - Method in class com.imsl.stat.FaureSequence
Returns the dimension of the sequence.
getDimension() - Method in interface com.imsl.stat.RandomSequence
Returns the dimension of the sequence.
getDouble(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a double in the Java programming language.
getDouble(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a double in the Java programming language.
getDoubleAttribute(String, double) - Method in class com.imsl.chart.ChartNode
Convenience routine to get a Double-valued attribute.
getDoubleBuffering() - Method in class com.imsl.chart.ChartNode
Returns the value of the "DoubleBuffering" attribute.
getDown() - Method in class com.imsl.chart.Candlestick
Returns the CandlestickItem for down days.
getDual() - Method in class com.imsl.math.QuadraticProgramming
Returns the dual (Lagrange multipliers).
getDualSolution() - Method in class com.imsl.math.LinearProgramming
Returns the dual solution.
getDunnSidak(int, int) - Method in class com.imsl.stat.ANOVA
 
getEnumValue(String) - Static method in class com.imsl.chart.xml.ChartXML
Returns the int corresponding to an enumeration.
getErrorEstimate() - Method in class com.imsl.math.HyperRectangleQuadrature
Returns an estimate of the relative error in the computed result.
getErrorEstimate() - Method in class com.imsl.math.EpsilonAlgorithm
Returns the current error estimate.
getErrorEstimate() - Method in class com.imsl.math.Quadrature
Returns an estimate of the relative error in the computed result.
getErrorMeanSquare() - Method in class com.imsl.stat.ANOVA
Returns the error mean square.
getErrorNumber() - Method in class com.imsl.LicenseManagerException
Returns the FlexLM error number for this exception.
getErrorStatus() - Method in class com.imsl.math.NonlinLeastSquares
Get information about the performance of NonlinLeastSquares.
getErrorStatus() - Method in class com.imsl.math.MinUnconMultiVar
Returns the non-fatal error status.
getErrorStatus() - Method in class com.imsl.math.Quadrature
Returns the non-fatal error status.
getExactMean() - Method in class com.imsl.stat.ContingencyTable
Returns exact mean.
getExactStdev() - Method in class com.imsl.stat.ContingencyTable
Returns exact standard deviation.
getExpectedCounts() - Method in class com.imsl.stat.ChiSquaredTest
Returns the expected counts.
getExpectedValues() - Method in class com.imsl.stat.ContingencyTable
Returns the expected values of each cell in the table.
getExplode() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Explode" attribute.
getF() - Method in class com.imsl.stat.ANOVA
Returns the F statistic.
getFactorLoadings() - Method in class com.imsl.stat.FactorAnalysis
Returns the unrotated factor loadings.
getFarMarkers() - Method in class com.imsl.chart.BoxPlot
Returns the FarMarkers node.
getFarMarkers() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the array of far markers
getFeature() - Method in class com.imsl.LicenseManagerException
Returns the name of the feature that could not be licensed.
getFetchDirection() - Method in class com.imsl.io.AbstractFlatFile
Returns the fetch direction for this ResultSet object.
getFetchSize() - Method in class com.imsl.io.AbstractFlatFile
Returns the fetch size for this ResultSet object.
getFillColor() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FillColor" attribute.
getFillOutlineColor() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FillOutlineColor" attribute.
getFillOutlineType() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FillOutlineType" attribute.
getFillPaint() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FillPaint" attribute.
getFillType() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FillType" attribute.
getFinalActiveConstraints() - Method in class com.imsl.math.MinConGenLin
Returns the indices of the final active constraints.
getFinalActiveConstraintsNum() - Method in class com.imsl.math.MinConGenLin
Returns the final number of active constraints.
getFirstTick() - Method in class com.imsl.chart.Axis1D
Convenience routine to get the "FirstTick" attribute.
getFloat(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a float in the Java programming language.
getFloat(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a float in the Java programming language.
getFont() - Method in class com.imsl.chart.ChartNode
Convenience routine which gets a Font object based on the "FontName", "FontStyle" and "FontSize" attributes.
getFontName() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FontName" attribute.
getFontSize() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FontSize" attribute.
getFontStyle() - Method in class com.imsl.chart.ChartNode
Returns the value of the "FontStyle" attribute.
getFrequencyTable() - Method in class com.imsl.stat.TableTwoWay
Returns the two-way frequency table.
getFrequencyTable() - Method in class com.imsl.stat.TableOneWay
Returns the one-way frequency table.
getFrequencyTable(double, double) - Method in class com.imsl.stat.TableOneWay
Returns a one-way frequency table using known bounds.
getFrequencyTable(double, double, double, double) - Method in class com.imsl.stat.TableTwoWay
Compute a two-way frequency table using intervals of equal length and user supplied upper and lower bounds, xLowerBound, xUpperBound, yLowerBound, yUpperBound.
getFrequencyTableUsingClassmarks(double[]) - Method in class com.imsl.stat.TableOneWay
Returns the one-way frequency table using class marks.
getFrequencyTableUsingClassmarks(double[], double[]) - Method in class com.imsl.stat.TableTwoWay
Returns the two-way frequency table using either cutpoints or class marks.
getFrequencyTableUsingCutpoints(double[]) - Method in class com.imsl.stat.TableOneWay
Returns the one-way frequency table using cutpoints.
getFrequencyTableUsingCutpoints(double[], double[]) - Method in class com.imsl.stat.TableTwoWay
Returns the two-way frequency table using cutpoints.
getFTest() - Method in class com.imsl.stat.NormTwoSample
Returns the F test value of the F test for equality of variances.
getFTestDFdenominator() - Method in class com.imsl.stat.NormTwoSample
Returns the denominator degrees of freedom of the F test for equality of variances.
getFTestDFnumerator() - Method in class com.imsl.stat.NormTwoSample
Returns the numerator degrees of freedom of the F test for equality of variances.
getFTestP() - Method in class com.imsl.stat.NormTwoSample
Returns the probability of a larger F in absolute value for the F test for equality of variances, assuming equal variances.
getGradient() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Gradient" attribute.
getGrid() - Method in class com.imsl.chart.Axis1D
Returns the grid node associated with this axis.
getGridPolar() - Method in class com.imsl.chart.Polar
Returns the grid.
getGroupCounts() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the group counts.
getGroupInformation() - Method in class com.imsl.stat.ANOVA
Returns information concerning the groups.
getGroups() - Method in class com.imsl.stat.TableMultiWay
Returns the number of observations (rows) in each group.
getGSquared() - Method in class com.imsl.stat.ContingencyTable
Returns the likelihood ratio G2 (chi-squared).
getGSquaredP() - Method in class com.imsl.stat.ContingencyTable
Returns the probability of a larger G2 chi-squared).
getHigh() - Method in class com.imsl.chart.ErrorBar
Convenience routine to get the "High" attribute.
getHigh() - Method in class com.imsl.chart.HighLowClose
Convenience routine to get the "High" attribute.
getHREF() - Method in class com.imsl.chart.DrawMap
Returns the current HREF string.
getHREF() - Method in class com.imsl.chart.ChartNode
Returns the value of the "HREF" attribute.
getId() - Method in class com.imsl.chart.JspBean
Returns the identifier number for the chart.
getImage() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Image" attribute.
getImageMap() - Method in class com.imsl.chart.JspBean
Returns an HTML for the client-side imagemap.
getImageTag() - Method in class com.imsl.chart.JspBean
Returns an HTML image tag.
getIncidenceMatrix() - Method in class com.imsl.stat.Covariances
Returns the incidence matrix.
getInfo() - Method in class com.imsl.math.SVD
Returns convergence information about S, U, and V.
getInt(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as an int in the Java programming language.
getInt(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as an int in the Java programming language.
getIntegerAttribute(String, int) - Method in class com.imsl.chart.ChartNode
Convenience routine to get an Integer-valued attribute.
getIterations() - Method in class com.imsl.math.MinUnconMultiVar
Returns the number of iterations used to compute a minimum.
getIterations(int) - Method in class com.imsl.math.ZeroFunction
Returns the number of iterations used to compute a root.
getJacobian() - Method in class com.imsl.math.BoundedLeastSquares
Returns the Jacobian at the approximate solution.
getKnots() - Method in class com.imsl.math.BSpline
Returns a copy of the knot sequence.
getKurtosis() - Method in class com.imsl.stat.Summary
Returns the kurtosis.
getLabels() - Method in class com.imsl.chart.AxisRLabel
Returns the "Labels" attribute.
getLabels() - Method in class com.imsl.chart.AxisLabel
Returns the "Labels" attribute.
getLabelType() - Method in class com.imsl.chart.ChartNode
Returns the value of the "LabelType" attribute.
getLagrangeMultiplerEst() - Method in class com.imsl.math.MinConGenLin
Returns the Lagrange multiplier estimates of the final active constraints.
getLegend() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Legend" attribute.
getLicensePath() - Method in class com.imsl.LicenseManagerException
Returns the license file path for this exception.
getLineColor() - Method in class com.imsl.chart.ChartNode
Returns the value of the "LineColor" attribute.
getLineDashPattern() - Method in class com.imsl.chart.ChartNode
Returns the value of the "LineDashPattern" attribute.
getLineWidth() - Method in class com.imsl.chart.ChartNode
Returns the value of the "LineWidth" attribute.
getListCells() - Method in class com.imsl.stat.TableMultiWay.UnbalancedTable
Returns for each row, a list of the levels of nkeys coorresponding classification variables that describe a cell.
getLocale() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Locale" attribute.
getLocalizedMessage() - Method in class com.imsl.LicenseManagerException
Returns the localized error message for this exception.
getLogDeterminant() - Method in class com.imsl.stat.KalmanFilter
Returns the natural log of the product of the nonzero eigenvalues of P where P * sigma2 is the variance-covariance matrix of the observations.
getLogger() - Method in class com.imsl.math.MinConNLP
Returns the logger object.
getLogLikelihood() - Method in class com.imsl.stat.GARCH
Returns the value of Log-likelihood function evaluated at the estimated parameter array.
getLong(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a long in the Java programming language.
getLong(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a long in the Java programming language.
getLow() - Method in class com.imsl.chart.ErrorBar
Convenience routine to get the "Low" attribute.
getLow() - Method in class com.imsl.chart.HighLowClose
Convenience routine to get the "Low" attribute.
getLowerAdjacentValue() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the lower adjacent value
getLowerCICommonVariance() - Method in class com.imsl.stat.NormTwoSample
Returns the lower confidence limits for the common, or pooled, variance.
getLowerCIDiff() - Method in class com.imsl.stat.NormTwoSample
Returns the lower confidence limit for the mean of the first population minus the mean of the second for equal or unequal variances depending on the value set by setUnequalVariances.
getLowerCIMean() - Method in class com.imsl.stat.NormOneSample
Returns the lower confidence limit for the mean.
getLowerCIRatioVariance() - Method in class com.imsl.stat.NormTwoSample
Returns the approximate lower confidence limit for the ratio of the variance of the first population to the second.
getLowerCIVariance() - Method in class com.imsl.stat.NormOneSample
Returns the lower confidence limits for the variance.
getLowerQuartile() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the lower quartile
getMA() - Method in class com.imsl.stat.GARCH
Returns the estimated values of moving average (MA) parameters.
getMA() - Method in class com.imsl.stat.ARMA
Returns the final moving average parameter estimates.
getMahalanobis() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the Mahalanobis distances between the group means.
getMajorTick() - Method in class com.imsl.chart.Axis1D
Returns the major tick node associated with this axis.
getMap() - Method in class com.imsl.chart.DrawMap
Returns the body of the HTML imagemap.
getMapName() - Method in class com.imsl.chart.JspBean
Returns the name of the client-size imagemap.
getMarkerColor() - Method in class com.imsl.chart.ChartNode
Returns the value of the "MarkerColor" attribute.
getMarkerDashPattern() - Method in class com.imsl.chart.ChartNode
Returns the value of the "MarkerPattern" attribute.
getMarkerSize() - Method in class com.imsl.chart.ChartNode
Returns the value of the "MarkerSize" attribute.
getMarkerThickness() - Method in class com.imsl.chart.ChartNode
Returns the value of the "MarkerThickness" attribute.
getMarkerType() - Method in class com.imsl.chart.ChartNode
Returns the value of the "MarkerType" attribute.
getMaxDifference() - Method in class com.imsl.stat.NormalityTest
Returns the maximum absolute difference between the empirical and the theoretical distributions for the Lilliefors test.
getMaximum() - Method in class com.imsl.stat.TableOneWay
Returns maximum value of x.
getMaximum() - Method in class com.imsl.stat.Summary
Returns the maximum.
getMaximumValue() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the maximum value of the observations
getMaximumX() - Method in class com.imsl.stat.TableTwoWay
Returns the maximum value of x.
getMaximumY() - Method in class com.imsl.stat.TableTwoWay
Returns the maximum value of y.
getMean() - Method in class com.imsl.stat.NormOneSample
Returns the mean of the sample.
getMean() - Method in class com.imsl.stat.AutoCorrelation
Returns the mean of the time series x.
getMean() - Method in class com.imsl.stat.Summary
Returns the population mean.
getMeanEstimate() - Method in class com.imsl.stat.ARMA
Returns an update of the mean of the time series z.
getMeanOfY() - Method in class com.imsl.stat.ANOVA
Returns the mean of the response (dependent variable).
getMeans() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the variable means.
getMeans() - Method in class com.imsl.stat.Covariances
Returns the means of the variables in x.
getMeans() - Method in class com.imsl.stat.ANOVAFactorial
Returns the subgroup means.
getMeanX() - Method in class com.imsl.stat.NormTwoSample
Returns the mean of the first sample, x.
getMeanX() - Method in class com.imsl.stat.MultiCrossCorrelation
Returns the mean of each channel of x.
getMeanX() - Method in class com.imsl.stat.CrossCorrelation
Returns the mean of the time series x.
getMeanY() - Method in class com.imsl.stat.NormTwoSample
Returns the mean of the second sample, y.
getMeanY() - Method in class com.imsl.stat.MultiCrossCorrelation
Returns the mean of each channel of y.
getMeanY() - Method in class com.imsl.stat.CrossCorrelation
Returns the mean of the time series y.
getMedian() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the median value.
getMedianLowerConfidenceInterval() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the lower confidence interval for the median.
getMedianUpperConfidenceInterval() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the upper confidence interval for the median.
getMetaData() - Method in class com.imsl.io.AbstractFlatFile
Retrieves the number, types and properties of this ResultSet object's columns.
getMinimum() - Method in class com.imsl.stat.TableOneWay
Returns the minimum value of x.
getMinimum() - Method in class com.imsl.stat.Summary
Returns the minimum.
getMinimumValue() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the minimum value of the observations
getMinimumX() - Method in class com.imsl.stat.TableTwoWay
Returns the minimum value of x.
getMinimumY() - Method in class com.imsl.stat.TableTwoWay
Returns the minimum value of y.
getMinorTick() - Method in class com.imsl.chart.Axis1D
Returns the minor tick node associated with this axis.
getModelErrorStdev() - Method in class com.imsl.stat.ANOVA
Returns the estimated standard deviation of the model error.
getModelMeanSquare() - Method in class com.imsl.stat.ANOVA
Returns the model mean square.
getMonthBasis() - Method in class com.imsl.finance.DayCountBasis
Returns the (days in month) portion of the Day Count Basis.
getName() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Name" attribute.
getNCells() - Method in class com.imsl.stat.TableMultiWay.UnbalancedTable
Returns the number of non-empty cells.
getNode() - Method in class com.imsl.chart.PickEvent
Gets this ChartNode.
getNormalScores(double[]) - Method in class com.imsl.stat.Ranks
Gets the expected value of normal order statistics (for tied observations, the average of the expected normal scores).
getNotch() - Method in class com.imsl.chart.BoxPlot
Gets the value of the attribute "Notch", true if notches are to be displayed, false if no notches are to be displayed.
getNRowsMissing() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the number of rows of data encountered containing missing values (NaN).
getNumber() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Number" attribute.
getNumberFormat() - Method in class com.imsl.math.PrintMatrixFormat
Returns the NumberFormat to be used in formatting double and Complex entries.
getNumberObservations() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the number of observations.
getNumPositiveDev() - Method in class com.imsl.stat.SignTest
Returns the number of positive differences.
getNumRowMissing() - Method in class com.imsl.stat.Covariances
Returns the total number of observations that contain any missing values (Double.NaN).
getNumZeroDev() - Method in class com.imsl.stat.SignTest
Returns the number of zero differences.
getNvalues() - Method in class com.imsl.stat.TableMultiWay.BalancedTable
Returns an array of length nkeys containing in its i-th element (i=0,1,...nkeys-1), the number of levels or categories of the i-th classification variable (column).
getObject(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as an Object in the Java programming language.
getObject(int) - Method in class com.imsl.io.FlatFile
Gets the value of the designated column in the current row of this ResultSet object as an Object in the Java programming language.
getObject(int, Map) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as an Object in the Java programming language.
getObject(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as an Object in the Java programming language.
getObject(String, Map) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as an Object in the Java programming language.
getObjectiveValue() - Method in class com.imsl.math.MinConGenLin
Returns the value of the objective function.
getObservations() - Method in class com.imsl.stat.Covariances
Returns the sum of the frequencies.
getObservationsLost() - Method in class com.imsl.stat.Difference
Returns the number of observations lost because of differencing the time series.
getOffset() - Method in class com.imsl.chart.Text
Returns the offset.
getOpen() - Method in class com.imsl.chart.HighLowClose
Gets the value of the attribute "Open".
getOptimalValue() - Method in class com.imsl.math.LinearProgramming
Returns the optimal value of the objective function.
getOutsideMarkers() - Method in class com.imsl.chart.BoxPlot
Returns the OutsideMarkers node.
getOutsideMarkers() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the array of outside markers
getP() - Method in class com.imsl.stat.ContingencyTable
Returns the Pearson chi-squared p-value for independence of rows and columns.
getP() - Method in class com.imsl.stat.ChiSquaredTest
Returns the p-value for the chi-squared statistic.
getP() - Method in class com.imsl.stat.ANOVA
Returns the p-value.
getPaint() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Paint" attribute.
getPanel() - Method in class com.imsl.chart.JFrameChart
Returns the JPanelChart into which the chart is drawn.
getParamEstimatesCovariance() - Method in class com.imsl.stat.ARMA
Returns the covariances of parameter estimates.
getParameterUpdates() - Method in class com.imsl.stat.FactorAnalysis
Returns the parameter updates.
getParent() - Method in class com.imsl.chart.ChartNode
Returns the parent of this node.
getPartialAutoCorrelations() - Method in class com.imsl.stat.AutoCorrelation
Returns the sample partial autocorrelation function of the stationary time series x.
getPercents() - Method in class com.imsl.stat.FactorAnalysis
Returns the cumulative percent of the total variance explained by each principal component.
getPermute() - Method in class com.imsl.math.QR
Returns an integer vector containing information about the permutation of the elements of the matrix during pivoting.
getPhi() - Method in class com.imsl.stat.ContingencyTable
Returns phi.
getPieSlice() - Method in class com.imsl.chart.Pie
Returns the PieSlice objects.
getPieSlice(int) - Method in class com.imsl.chart.Pie
Returns a specified PieSlice.
getPooledVariance() - Method in class com.imsl.stat.NormTwoSample
Returns the Pooled variance for the two samples.
getPredictionError() - Method in class com.imsl.stat.KalmanFilter
Returns the one-step-ahead prediction error.
getPrimalSolution() - Method in class com.imsl.math.LinearProgramming
Returns the solution x of the linear programming problem.
getPrior() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the prior probabilities.
getProbability() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns the posterior probabilities for each observation.
getPsiWeights() - Method in class com.imsl.stat.ARMA
Returns the psi weights of the infinite order moving average form of the model.
getQ() - Method in class com.imsl.math.QR
Returns the orthogonal or unitary matrix Q.
getR() - Method in class com.imsl.math.QR
Returns the upper trapezoidal matrix R.
getR() - Method in class com.imsl.math.Cholesky
Returns the R matrix that results from the Cholesky factorization.
getR() - Method in class com.imsl.stat.LinearRegression
Returns a copy of the R matrix.
getRadialFunction() - Method in class com.imsl.math.RadialBasis
Returns the radial function.
getRadius(int) - Method in class com.imsl.math.ZeroPolynomial
Returns an a-posteriori absolute error bound on the root.
getRank() - Method in class com.imsl.math.QR
Returns the rank of the matrix used to construct this instance.
getRank() - Method in class com.imsl.math.SVD
Returns the rank of the matrix used to construct this instance.
getRank() - Method in class com.imsl.stat.KalmanFilter
Returns the rank of the variance-covariance matrix for all the observations.
getRank() - Method in class com.imsl.stat.LinearRegression
Returns the rank of the matrix.
getRanks(double[]) - Method in class com.imsl.stat.Ranks
Gets the rank for each observation.
getRef(int) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a Ref object in the Java programming language.
getRef(String) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a Ref object in the Java programming language.
getReference() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Reference" attribute.
getResidual() - Method in class com.imsl.stat.ARMA
Returns the residuals.
getResiduals() - Method in class com.imsl.math.BoundedLeastSquares
Returns the residuals at the approximate solution.
getRoot(int) - Method in class com.imsl.math.ZeroPolynomial
Returns a zero of the polynomial.
getRoots() - Method in class com.imsl.math.ZeroPolynomial
Returns the zeros of the polynomial.
getRow() - Method in class com.imsl.io.AbstractFlatFile
Retrieves the current row number.
getRSquared() - Method in class com.imsl.stat.ANOVA
Returns the R-squared (in percent).
getS() - Method in class com.imsl.math.SVD
Returns the singular values.
getSampleStandardDeviation() - Method in class com.imsl.stat.Summary
Returns the sample standard deviation.
getSampleVariance() - Method in class com.imsl.stat.Summary
Returns the sample variance.
getSavageScores(double[]) - Method in class com.imsl.stat.Ranks
Gets the Savage scores (the expected value of exponential order statistics).
getScreenAxis() - Method in class com.imsl.chart.ChartNode
Returns the value of the "ScreenAxis" attribute.
getScreenSize() - Method in class com.imsl.chart.ChartNode
Returns the value of the "ScreenSize" attribute.
getScreenViewport() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Viewport" attribute scaled by the screen size.
getShapiroWilkW() - Method in class com.imsl.stat.NormalityTest
Returns the Shapiro-Wilk W statistic for the Shapiro-Wilk W test.
getShort(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a short in the Java programming language.
getShort(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a short in the Java programming language.
getSigma() - Method in class com.imsl.stat.GARCH
Returns the estimated value of sigma squared.
getSize() - Method in class com.imsl.chart.JspBean
Returns the size of the generated image.
getSize() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Size" attribute.
getSize(Text) - Method in class com.imsl.chart.Draw
Returns the size of the bounding box for a text object.
getSkewness() - Method in class com.imsl.stat.Summary
Returns the skewness.
getSkip() - Method in class com.imsl.stat.FaureSequence
Returns the number of points skipped at the beginning of the sequence.
getSkipWeekends() - Method in class com.imsl.chart.ChartNode
Returns the value of the "SkipWeekends" attribute.
getSolution() - Method in class com.imsl.math.MinConGenLin
Returns the computed solution.
getSolution() - Method in class com.imsl.math.BoundedLeastSquares
Returns the solution.
getSolution() - Method in class com.imsl.math.QuadraticProgramming
Returns the solution.
getSpline() - Method in class com.imsl.math.BSpline
Returns a Spline representation of the B-spline.
getSSResidual() - Method in class com.imsl.stat.ARMA
Returns the sum of squares of the random shock.
getStandardDeviation() - Method in class com.imsl.stat.Summary
Returns the population standard deviation.
getStandardErrors() - Method in class com.imsl.stat.FactorAnalysis
Returns the estimated asymptotic standard errors of the eigenvalues.
getStandardErrors(int) - Method in class com.imsl.stat.CrossCorrelation
Returns the standard errors of the cross-correlations between the time series x and y.
getStandardErrors(int) - Method in class com.imsl.stat.AutoCorrelation
Returns the standard errors of the autocorrelations of the time series x.
getStatement() - Method in class com.imsl.io.AbstractFlatFile
Returns the Statement object that produced this ResultSet object.
getStateVector() - Method in class com.imsl.stat.KalmanFilter
Returns the estimated state vector at time k + 1 given the observations through time k.
getStatistics() - Method in class com.imsl.chart.BoxPlot
Returns an array of BoxPlot.Statistics objects, one for each set of observations.
getStatistics() - Method in class com.imsl.stat.WilcoxonRankSum
Returns the statistics.
getStatistics() - Method in class com.imsl.stat.FactorAnalysis
Returns statistics.
getStatistics() - Method in class com.imsl.stat.DiscriminantAnalysis
Returns statistics.
getStatistics() - Method in class com.imsl.stat.ContingencyTable
Returns the statistics associated with this table.
getStatistics(int) - Method in class com.imsl.chart.BoxPlot
Returns a BoxPlot.Statistics for a set of observations.
getStatus(int) - Method in class com.imsl.math.ZeroPolynomial
Returns the error status of a root.
getStdDev() - Method in class com.imsl.stat.NormOneSample
Returns the standard deviation of the sample.
getStdDevX() - Method in class com.imsl.stat.NormTwoSample
Returns the standard deviation of the first sample.
getStdDevY() - Method in class com.imsl.stat.NormTwoSample
Returns the standard deviation of the second sample.
getString() - Method in class com.imsl.chart.Text
Gets the string for this Text object.
getString(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a String in the Java programming language.
getString(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a String in the Java programming language.
getStringAttribute(String) - Method in class com.imsl.chart.ChartNode
Convenience routine to get a String-valued attribute.
getSumOfSquares() - Method in class com.imsl.stat.KalmanFilter
Returns the generalized sum of squares.
getSumOfSquaresForError() - Method in class com.imsl.stat.ANOVA
Returns the sum of squares for error.
getSumOfSquaresForModel() - Method in class com.imsl.stat.ANOVA
Returns the sum of squares for model.
getSumOfWeights() - Method in class com.imsl.stat.Covariances
Returns the sum of the weights of all observations.
getTable() - Method in class com.imsl.stat.TableMultiWay.BalancedTable
Returns an array containing the frequencies for each variable.
getTable() - Method in class com.imsl.stat.TableMultiWay.UnbalancedTable
Returns the frequency for each cell.
getTestEffects() - Method in class com.imsl.stat.ANOVAFactorial
Returns statistics relating to the sums of squares for the effects in the model.
getTextAngle() - Method in class com.imsl.chart.ChartNode
Returns the value of the "TextAngle" attribute.
getTextColor() - Method in class com.imsl.chart.ChartNode
Returns the value of the "TextColor" attribute.
getTextFormat() - Method in class com.imsl.chart.ChartNode
Returns the value of the "TextFormat" attribute.
getTickInterval() - Method in class com.imsl.chart.AxisR
Retrieves the tick interval.
getTickInterval() - Method in class com.imsl.chart.Axis1D
Retrieves the tick interval.
getTickLength() - Method in class com.imsl.chart.ChartNode
Returns the value of the "TickLength" attribute.
getTicks() - Method in class com.imsl.chart.AxisTheta
Returns the value of the "Ticks" attribute, if set.
getTicks() - Method in class com.imsl.chart.AxisR
Returns the value of the "Ticks" attribute, if set.
getTicks() - Method in class com.imsl.chart.Axis1D
Returns the value of the "Ticks" attribute, if set.
getTime(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.sql.Time object in the Java programming language.
getTime(int, Calendar) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a java.sql.Time object in the Java programming language.
getTime(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.sql.Time object in the Java programming language.
getTime(String, Calendar) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a java.sql.Time object in the Java programming language.
getTimestamp(int) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.sql.Timestamp object in the Java programming language.
getTimestamp(int, Calendar) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a java.sql.Timestamp object in the Java programming language.
getTimestamp(String) - Method in class com.imsl.io.AbstractFlatFile
Gets the value of the designated column in the current row of this ResultSet object as a java.sql.Timestamp object.
getTimestamp(String, Calendar) - Method in class com.imsl.io.AbstractFlatFile
Returns the value of the designated column in the current row of this ResultSet object as a java.sql.Timestamp object in the Java programming language.
getTitle() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Title" attribute.
getTolerance() - Method in class com.imsl.chart.DrawPick
Get the minimum distance that an event can be from a point or a line and still be considered a hit.
getTolerance() - Method in class com.imsl.chart.DrawMap
Get the minimum distance that an event can be from a point or a line and still be considered a hit.
getToolTip() - Method in class com.imsl.chart.ChartNode
Returns the value of the "ToolTip" attribute.
getTotalDegreesOfFreedom() - Method in class com.imsl.stat.ANOVA
Returns the total degrees of freedom.
getTotalMissing() - Method in class com.imsl.stat.ANOVA
Returns the total number of missing values.
getTotalSumOfSquares() - Method in class com.imsl.stat.ANOVA
Returns the total sum of squares.
getTransform() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Transform" attribute.
getTTest() - Method in class com.imsl.stat.NormTwoSample
Returns the test statistic for the Satterthwaite's approximation.
getTTest() - Method in class com.imsl.stat.NormOneSample
Returns the test statistic associated with the t test.
getTTestDF() - Method in class com.imsl.stat.NormTwoSample
Returns the degrees of freedom for the Satterthwaite's approximation for t-test for either equal or unequal variances, depending on the value set by setUnequalVariances.
getTTestDF() - Method in class com.imsl.stat.NormOneSample
Returns the degrees of freedom associated with the t test for the mean.
getTTestP() - Method in class com.imsl.stat.NormTwoSample
Returns the approximate probability of a larger t for the Satterthwaite's approximation for equal or unequal variances.
getTTestP() - Method in class com.imsl.stat.NormOneSample
Returns the probability associated with the t test of a larger t in absolute value.
getTukeyScores(double[]) - Method in class com.imsl.stat.Ranks
Gets the Tukey version of normal scores for each observation.
getType() - Method in class com.imsl.chart.Grid
Returns the axis type.
getType() - Method in class com.imsl.chart.Axis1D
Returns the axis type.
getType() - Method in class com.imsl.io.AbstractFlatFile
Returns the type of this ResultSet object.
getU() - Method in class com.imsl.math.SVD
Returns the left singular vectors.
getUnbalancedTable() - Method in class com.imsl.stat.TableMultiWay
Returns an object containing the unbalanced table.
getUnicodeStream(int) - Method in class com.imsl.io.AbstractFlatFile
Deprecated. use getCharacterStream in place of getUnicodeStream
getUnicodeStream(String) - Method in class com.imsl.io.AbstractFlatFile
Deprecated.  
getUp() - Method in class com.imsl.chart.Candlestick
Returns the CandlestickItem for up days.
getUpperAdjacentValue() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the lower adjacent value
getUpperCICommonVariance() - Method in class com.imsl.stat.NormTwoSample
Returns the upper confidence limits for the common, or pooled, variance.
getUpperCIDiff() - Method in class com.imsl.stat.NormTwoSample
Returns the upper confidence limit for the mean of the first population minus the mean of the second for equal or unequal variances depending on the value set by setUnequalVariances.
getUpperCIMean() - Method in class com.imsl.stat.NormOneSample
Returns the upper confidence limit for the mean.
getUpperCIRatioVariance() - Method in class com.imsl.stat.NormTwoSample
Returns the approximate upper confidence limit for the ratio of the variance of the first population to the second.
getUpperCIVariance() - Method in class com.imsl.stat.NormOneSample
Returns the upper confidence limits for the variance.
getUpperQuartile() - Method in class com.imsl.chart.BoxPlot.Statistics
Returns the upper quartile
getURL(int) - Method in class com.imsl.io.AbstractFlatFile
Retrieves the value of the designated column in the current row of this ResultSet object as a java.net.URL object.
getURL(String) - Method in class com.imsl.io.AbstractFlatFile
Retrieves the value of the designated column in the current row of this ResultSet object as a java.net.URL object.
getV() - Method in class com.imsl.math.SVD
Returns the right singular vectors.
getValues() - Method in class com.imsl.math.SymEigen
Returns the eigenvalues
getValues() - Method in class com.imsl.math.Eigen
Returns the eigenvalues of a matrix of type double.
getValues() - Method in class com.imsl.stat.TableMultiWay.BalancedTable
Returns the values of the classification variables.
getValues() - Method in class com.imsl.stat.FactorAnalysis
Returns the eigenvalues.
getVanDerWaerdenScores(double[]) - Method in class com.imsl.stat.Ranks
Gets the Van der Waerden version of normal scores for each observation.
getVarCovarMatrix() - Method in class com.imsl.stat.GARCH
Returns the variance-covariance matrix.
getVariance() - Method in class com.imsl.stat.AutoCorrelation
Returns the variance of the time series x.
getVariance() - Method in class com.imsl.stat.Summary
Returns the population variance.
getVariance() - Method in class com.imsl.stat.ARMA
Returns the variance of the time series z.
getVariances() - Method in class com.imsl.stat.FactorAnalysis
Gets the unique variances.
getVarianceX() - Method in class com.imsl.stat.MultiCrossCorrelation
Returns the variances of the channels of x.
getVarianceX() - Method in class com.imsl.stat.CrossCorrelation
Returns the variance of time series x.
getVarianceY() - Method in class com.imsl.stat.MultiCrossCorrelation
Returns the variances of the channels of y.
getVarianceY() - Method in class com.imsl.stat.CrossCorrelation
Returns the variance of time series y.
getVectors() - Method in class com.imsl.math.SymEigen
Return the eigenvectors of a symmetric matrix of type double.
getVectors() - Method in class com.imsl.math.Eigen
Returns the eigenvectors.
getVectors() - Method in class com.imsl.stat.FactorAnalysis
Returns the eigenvectors.
getViewport() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Viewport" attribute.
getWarning() - Static method in class com.imsl.Warning
Gets the WarningObject.
getWarnings() - Method in class com.imsl.io.AbstractFlatFile
Returns the first warning reported by calls on this ResultSet object.
getWhiskers() - Method in class com.imsl.chart.BoxPlot
Returns the Whiskers node.
getWindow() - Method in class com.imsl.chart.AxisTheta
Returns the window for an AxisTheta.
getWindow() - Method in class com.imsl.chart.AxisR
Returns the Window attribute.
getWindow() - Method in class com.imsl.chart.Axis1D
Returns the window for an Axis1D.
getX() - Method in class com.imsl.chart.ChartNode
Returns the value of the "X" attribute.
getX() - Method in class com.imsl.stat.GARCH
Returns the estimated parameter array, x.
getY() - Method in class com.imsl.chart.ChartNode
Returns the value of the "Y" attribute.
getYearBasis() - Method in class com.imsl.finance.DayCountBasis
Returns the (days in year) portion of the Day Count Basis.
gradient(double[]) - Method in class com.imsl.math.RadialBasis
Returns the gradiant of the radial basis approximation at a point.
gradient(double[], double[]) - Method in interface com.imsl.math.MinConGenLin.Gradient
Public interface for the user-supplied function to compute the gradient at point x.
gradient(double[], double[]) - Method in interface com.imsl.math.MinUnconMultiVar.Gradient
Public interface for the gradient of the multivariate function to be minimized.
gradient(double[], int, double[]) - Method in interface com.imsl.math.MinConNLP.Gradient
Computes the value of the gradient of the function at the given point.
graphics - Variable in class com.imsl.chart.Draw
 
Grid - class com.imsl.chart.Grid.
Draws the grid lines perpendicular to an axis.
GridPolar - class com.imsl.chart.GridPolar.
Draws the grid lines for a polar plot.

H

hashCode() - Method in class com.imsl.math.Complex
Returns a hashcode for this Complex.
hasMoreTokens() - Method in class com.imsl.io.Tokenizer
Returns true if a call to nextToken will not generate an exception.
haveErrorBarProperties - Variable in class com.imsl.chart.Draw
 
haveFillProperties - Variable in class com.imsl.chart.Draw
 
haveImageProperties - Variable in class com.imsl.chart.Draw
 
haveLineProperties - Variable in class com.imsl.chart.Draw
 
haveMarkerProperties - Variable in class com.imsl.chart.Draw
 
haveTextProperties - Variable in class com.imsl.chart.Draw
 
HighLowClose - class com.imsl.chart.HighLowClose.
High-low-close plot of stock data.
HighLowClose(AxisXY, Date, double[], double[], double[]) - Constructor for class com.imsl.chart.HighLowClose
Constructs a high-low-close chart node beginning with specified start date.
HighLowClose(AxisXY, Date, double[], double[], double[], double[]) - Constructor for class com.imsl.chart.HighLowClose
Constructs a high-low-close-open chart node beginning with specified start date.
HighLowClose(AxisXY, double[], double[], double[], double[]) - Constructor for class com.imsl.chart.HighLowClose
Constructs a high-low-close chart node at specified axis points.
HighLowClose(AxisXY, double[], double[], double[], double[], double[]) - Constructor for class com.imsl.chart.HighLowClose
Constructs a high-low-close-open chart node at specified axis points.
horizontalStripe(int, int, Color, Color) - Static method in class com.imsl.chart.FillPaint
Returns a horizontally striped pattern.
Hyperbolic - class com.imsl.math.Hyperbolic.
Pure Java implementation of the hyperbolic functions and their inverses.
hypergeometric(int, int, int, int) - Static method in class com.imsl.stat.Cdf
Evaluates the hypergeometric distribution function.
hypergeometricProb(int, int, int, int) - Static method in class com.imsl.stat.Cdf
Evaluates the hypergeometric probability function.
HyperRectangleQuadrature - class com.imsl.math.HyperRectangleQuadrature.
HyperRectangleQuadrature integrates a function over a hypercube.
HyperRectangleQuadrature.Function - interface com.imsl.math.HyperRectangleQuadrature.Function.
Public interface function for the HyperRectangleQuadrature class.
HyperRectangleQuadrature(int) - Constructor for class com.imsl.math.HyperRectangleQuadrature
Constructs a HyperRectangleQuadrature object.
HyperRectangleQuadrature(RandomSequence) - Constructor for class com.imsl.math.HyperRectangleQuadrature
Constructs a HyperRectangleQuadrature object.

I

i - Static variable in class com.imsl.math.Complex
The imaginary unit.
I(double, double, int) - Static method in class com.imsl.math.Bessel
Evaluates a sequence of modified Bessel functions of the first kind with real order and real argument.
I(double, int) - Static method in class com.imsl.math.Bessel
Evaluates a sequence of modified Bessel functions of the first kind with integer order and real argument.
IEEE - class com.imsl.math.IEEE.
Pure Java implementation of the IEEE 754 functions as specified in IEEE Standard for Binary Floating-Point Arithmetic, ANSI/IEEE Standard 754-1985 (IEEE, New York).
IEEEremainder(double, double) - Static method in class com.imsl.math.JMath
Returns the IEEE remainder from x divided by p.
ilogb(double) - Static method in class com.imsl.math.IEEE
Return the binary exponent of non-zero x.
imag() - Method in class com.imsl.math.Complex
Returns the imaginary part of a Complex object.
imag(Complex) - Static method in class com.imsl.math.Complex
Returns the imaginary part of a Complex object.
IMAGE - Static variable in class com.imsl.chart.Draw
 
IMAGE_FACTOR_ANALYSIS - Static variable in class com.imsl.stat.FactorAnalysis
Indicates image factor analysis.
image(ImageIcon) - Static method in class com.imsl.chart.FillPaint
Returns a tiling of an image.
imageObserver - Variable in class com.imsl.chart.Draw
 
IMSLException - exception com.imsl.IMSLException.
Signals that a mathematical exception has occurred.
IMSLException() - Constructor for class com.imsl.IMSLException
Constructs an IMSLException with no detail message.
IMSLException(String) - Constructor for class com.imsl.IMSLException
Constructs an IMSLException with the specified detail message.
IMSLException(String, String, Object[]) - Constructor for class com.imsl.IMSLException
Constructs an IMSLException with the specified detail message.
IMSLRuntimeException - exception com.imsl.IMSLRuntimeException.
Signals that an error has occurred.
IMSLRuntimeException() - Constructor for class com.imsl.IMSLRuntimeException
Constructs an IMSLRuntimeException with no detail message.
IMSLRuntimeException(String) - Constructor for class com.imsl.IMSLRuntimeException
Constructs an IMSLRuntimeException with the specified detail message.
IMSLRuntimeException(String, String, Object[]) - Constructor for class com.imsl.IMSLRuntimeException
Constructs an IMSLRuntimeException with the specified detail message.
infinityNorm(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Return the infinity norm of a Complex matrix.
infinityNorm(double[][]) - Static method in class com.imsl.math.Matrix
Return the infinity norm of a matrix.
init() - Method in class com.imsl.chart.ChartServlet
 
insertRow() - Method in class com.imsl.io.AbstractFlatFile
Inserts the contents of the insert row into this ResultSet objaect and into the database.
integral(double, double) - Method in class com.imsl.math.BSpline
Returns the value of an integral of the B-spline.
integral(double, double) - Method in class com.imsl.math.Spline
Returns the value of an integral of the spline.
intrate(GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the interest rate of a fully invested security.
intValue() - Method in class com.imsl.math.Physical
Returns the value of this dimensionless object.
intValue() - Method in class com.imsl.math.Complex
Returns the value of the real part as an int.
inverse() - Method in class com.imsl.math.LU
Returns the inverse of the matrix used to construct this instance.
inverse() - Method in class com.imsl.math.ComplexLU
Compute the inverse of a matrix of type Complex.
inverse() - Method in class com.imsl.math.SVD
Compute the Moore-Penrose generalized inverse of a real matrix.
inverse() - Method in class com.imsl.math.Cholesky
Returns the inverse of this matrix
inverseBeta(double, double, double) - Static method in class com.imsl.stat.Cdf
Evaluates the inverse of the beta probability distribution function.
InverseCdf - class com.imsl.stat.InverseCdf.
Inverse of user-supplied cumulative distribution function.
InverseCdf.DidNotConvergeException - exception com.imsl.stat.InverseCdf.DidNotConvergeException.
The iteration did not converge
InverseCdf.DidNotConvergeException(String) - Constructor for class com.imsl.stat.InverseCdf.DidNotConvergeException
 
InverseCdf.DidNotConvergeException(String, Object[]) - Constructor for class com.imsl.stat.InverseCdf.DidNotConvergeException
 
InverseCdf(CdfFunction) - Constructor for class com.imsl.stat.InverseCdf
Constructor for the inverse of a user-supplied cummulative distribution function.
inverseChi(double, double) - Static method in class com.imsl.stat.Cdf
Evaluate the inverse of the chi-squared distribution function.
inverseF(double, double, double) - Static method in class com.imsl.stat.Cdf
Returns inverse of the F probability distribution function.
inverseGamma(double, double) - Static method in class com.imsl.stat.Cdf
Evaluates the inverse of the gamma distribution function.
inverseNormal(double) - Static method in class com.imsl.stat.Cdf
Evaluates the inverse of the normal (Gaussian) distribution function.
inverseStudentsT(double, double) - Static method in class com.imsl.stat.Cdf
Returns inverse of the Student's t distribution function.
ipmt(double, int, int, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the interest payment for an investment for a given period.
ipvt - Variable in class com.imsl.math.LU
 
ipvt - Variable in class com.imsl.math.ComplexLU
 
irr(double[]) - Static method in class com.imsl.finance.Finance
Returns the internal rate of return for a schedule of cash flows.
irr(double[], double) - Static method in class com.imsl.finance.Finance
Returns the internal rate of return for a schedule of cash flows.
isAfterLast() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether the cursor is after the last row in this ResultSet object.
isAncestorOf(ChartNode) - Method in class com.imsl.chart.ChartNode
Returns true if this node is an ancestor of the argument node.
isAttributeSet(String) - Method in class com.imsl.chart.ChartNode
Determines if an attribute is defined (may have been inherited).
isAttributeSetAtThisNode(String) - Method in class com.imsl.chart.ChartNode
Determines if an attribute is defined in this node (not inherited).
isBeforeFirst() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether the cursor is before the first row in this ResultSet object.
isBitSet(int, int) - Static method in class com.imsl.chart.ChartNode
Returns true if the bit set in flag is set in mask.
isFirst() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether the cursor is on the first row of this ResultSet object.
isLast() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether the cursor is on the last row of this ResultSet object.
isNaN(double) - Static method in class com.imsl.math.IEEE
NaN test on an argument of type double.
isNoMoreProgress() - Method in class com.imsl.math.QuadraticProgramming
Returns true if due to computer rounding error, a change in the variables fail to improve the objective function.
isProportionalWidth() - Method in class com.imsl.chart.BoxPlot
Returns the value of the attribute "ProportionalWidth".
isWeekday(GregorianCalendar) - Method in class com.imsl.chart.TransformDate
Returns true if the specified date is a weekday.

J

J(double, double, int) - Static method in class com.imsl.math.Bessel
Evaluate a sequence of Bessel functions of the first kind with real order and real positive argument.
J(double, int) - Static method in class com.imsl.math.Bessel
Evaluates a sequence of Bessel functions of the first kind with integer order and real argument.
jacobian(double[], double[][]) - Method in interface com.imsl.math.ZeroSystem.Jacobian
Returns the value of the Jacobian at the given point.
jacobian(double[], double[][]) - Method in interface com.imsl.math.NonlinLeastSquares.Jacobian
Public interface for the nonlinear least squares function.
JFrameChart - class com.imsl.chart.JFrameChart.
JFrameChart is a JFrame that contains a chart.
JFrameChart() - Constructor for class com.imsl.chart.JFrameChart
Creates new JFrameChart to display a chart.
JFrameChart(Chart) - Constructor for class com.imsl.chart.JFrameChart
Creates new JFrameChart to display a given chart.
JMath - class com.imsl.math.JMath.
Pure Java implementation of the standard java.lang.Math class.
JPanelChart - class com.imsl.chart.JPanelChart.
A Swing JPanel that contains a chart.
JPanelChart() - Constructor for class com.imsl.chart.JPanelChart
Creates new JPanelChart.
JPanelChart(Chart) - Constructor for class com.imsl.chart.JPanelChart
Creates new JPanelChart using a given Chart object.
JspBean - class com.imsl.chart.JspBean.
JspBean is used to refer to charts in a Java Server Page that are later rendered using the ChartServlet.
JspBean() - Constructor for class com.imsl.chart.JspBean
Creates a JspBean object.

K

K(double, double, int) - Static method in class com.imsl.math.Bessel
Evaluates a sequence of modified Bessel functions of the third kind with fractional order and real argument.
K(double, int) - Static method in class com.imsl.math.Bessel
Evaluates a sequence of modified Bessel functions of the third kind with integer order and real argument.
KalmanFilter - class com.imsl.stat.KalmanFilter.
Performs Kalman filtering and evaluates the likelihood function for the state-space model.
KalmanFilter(double[], double[], int, double, double) - Constructor for class com.imsl.stat.KalmanFilter
Constructor for KalmanFilter.
keySet() - Method in class com.imsl.chart.xml.ChartXML
Returns the Set view of all id's defined in the XML file.
knot - Variable in class com.imsl.math.BSpline
The knot array of length n + order, where n is the number of coefficients in the B-spline.
kurtosis(double[]) - Static method in class com.imsl.stat.Summary
Returns the kurtosis of the given data set.
kurtosis(double[], double[]) - Static method in class com.imsl.stat.Summary
Returns the kurtosis of the given data set and associated weights.

L

LABEL_TYPE_NONE - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate the an element is not to be labeled.
LABEL_TYPE_PERCENT - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that a pie slice is to be labeled with a percentage value.
LABEL_TYPE_TITLE - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that an element is to be labeled with the value of its title attribute.
LABEL_TYPE_X - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that an element is to be labeled with the value of its x-coordinate.
LABEL_TYPE_Y - Static variable in class com.imsl.chart.ChartNode
Flag used to indicate that an element is to be labeled with the value of its y-coordinate.
LAST - Static variable in class com.imsl.chart.Draw
Flag for the last data marker.
last() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the last row in this ResultSet object.
LEAST_SQUARES - Static variable in class com.imsl.stat.ARMA
Indicates least-squares algorithm.
LEAVE_OUT_ONE - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates leave-out-one as the Classicfication Method.
Legend - class com.imsl.chart.Legend.
The chart legend.
Legend(Chart) - Constructor for class com.imsl.chart.Legend
 
LENGTH - Static variable in class com.imsl.math.Physical
 
LicenseManagerException - exception com.imsl.LicenseManagerException.
A LicenseManagerException exception is thrown if a license to use the product cannot be obtained.
LillieforsTest() - Method in class com.imsl.stat.NormalityTest
Performs the Lilliefors test.
LINE - Static variable in class com.imsl.chart.Draw
 
LINEAR - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates a linear discrimination method.
LinearProgramming - class com.imsl.math.LinearProgramming.
Linear programming problem using the revised simplex algorithm.
LinearProgramming.BoundsInconsistentException - exception com.imsl.math.LinearProgramming.BoundsInconsistentException.
The bounds given are inconsistent.
LinearProgramming.BoundsInconsistentException(String) - Constructor for class com.imsl.math.LinearProgramming.BoundsInconsistentException
 
LinearProgramming.BoundsInconsistentException(String, Object[]) - Constructor for class com.imsl.math.LinearProgramming.BoundsInconsistentException
 
LinearProgramming.NumericDifficultyException - exception com.imsl.math.LinearProgramming.NumericDifficultyException.
Numerical difficulty occurred.
LinearProgramming.NumericDifficultyException(String) - Constructor for class com.imsl.math.LinearProgramming.NumericDifficultyException
 
LinearProgramming.NumericDifficultyException(String, Object[]) - Constructor for class com.imsl.math.LinearProgramming.NumericDifficultyException
 
LinearProgramming.WrongConstraintTypeException - exception com.imsl.math.LinearProgramming.WrongConstraintTypeException.
Deprecated. The values for the type of constraint must be either 0, 1 or 2.
LinearProgramming.WrongConstraintTypeException(String) - Constructor for class com.imsl.math.LinearProgramming.WrongConstraintTypeException
Deprecated.  
LinearProgramming.WrongConstraintTypeException(String, Object[]) - Constructor for class com.imsl.math.LinearProgramming.WrongConstraintTypeException
Deprecated.  
LinearProgramming(double[][], double[], double[]) - Constructor for class com.imsl.math.LinearProgramming
Constructor variables of type double.
LinearRegression - class com.imsl.stat.LinearRegression.
Fits a multiple linear regression model with or without an intercept.
LinearRegression(int, boolean) - Constructor for class com.imsl.stat.LinearRegression
Constructs a new linear regression object.
lineColor - Variable in class com.imsl.chart.Draw
 
lineDashPattern - Variable in class com.imsl.chart.Draw
 
lineWidth - Variable in class com.imsl.chart.Draw
 
log(Complex) - Static method in class com.imsl.math.Complex
Returns the logarithm of a Complex z, with a branch cut along the negative real axis.
log(double) - Static method in class com.imsl.math.JMath
Returns the natural logarithm of a double.
log10(double) - Static method in class com.imsl.math.Sfun
Returns the common (base 10) logarithm of a double.
log1p(double) - Static method in class com.imsl.math.Hyperbolic
Returns log(1+x), the logarithm of (x plus 1).
logBeta(double, double) - Static method in class com.imsl.math.Sfun
Returns the logarithm of the Beta function.
logGamma(double) - Static method in class com.imsl.math.Sfun
Returns the logarithm of the Gamma function of the absolute value of a double.
longValue() - Method in class com.imsl.math.Physical
Returns the value of this dimensionless object.
longValue() - Method in class com.imsl.math.Complex
Returns the value of the real part as a long.
LOWER_TRIANGULAR - Static variable in class com.imsl.math.PrintMatrix
This flag as the argument to setMatrixType, indicates that only the lower triangular elements of the matrix are to be printed.
LU - class com.imsl.math.LU.
LU factorization of a matrix of type double.
LU(double[][]) - Constructor for class com.imsl.math.LU
Creates the LU factorization of a square matrix of type double.

M

main(String[]) - Static method in class com.imsl.Version
Print the version information about the envirnoment and this library.
main(String[]) - Static method in class com.imsl.chart.xml.ChartXML
Displays a chart created from an XML file.
MajorTick - class com.imsl.chart.MajorTick.
The major tick marks.
mapDeviceToUser(int, int, double[]) - Method in class com.imsl.chart.Pie
Maps the device coordinates to user coordinates.
mapDeviceToUser(int, int, double[]) - Method in class com.imsl.chart.Polar
Map the device coordinates to polar coordinates.
mapDeviceToUser(int, int, double[]) - Method in class com.imsl.chart.AxisXY
Map the device coordinates to user coordinates.
mapDeviceToUser(int, int, double[]) - Method in class com.imsl.chart.Axis
Maps the device coordinates to user coordinates.
mapUnitToUser(double) - Method in class com.imsl.chart.TransformDate
Maps points in the interval [0,1] to user coordinates.
mapUnitToUser(double) - Method in interface com.imsl.chart.Transform
Maps points in the interval [0,1] to user coordinates.
mapUserToDevice(double, double, int[]) - Method in class com.imsl.chart.Pie
Maps the user coordinates (userX,userY) to the device coordinates devXY.
mapUserToDevice(double, double, int[]) - Method in class com.imsl.chart.Polar
Map the polar coordinates (userRadius,userAngle) to the device coordinates devXY.
mapUserToDevice(double, double, int[]) - Method in class com.imsl.chart.AxisXY
Map the user coordinates (userX,userY) to the device coordinates devXY.
mapUserToDevice(double, double, int[]) - Method in class com.imsl.chart.Axis
Maps the user coordinates (userX,userY) to the device coordinates devXY.
mapUserToUnit(double) - Method in class com.imsl.chart.TransformDate
Maps user coordinate to the interval [0,1].
mapUserToUnit(double) - Method in interface com.imsl.chart.Transform
Maps user coordinate to the interval [0,1].
MARKER - Static variable in class com.imsl.chart.Draw
 
MARKER_SCALE - Static variable in class com.imsl.chart.Draw
Normal marker size in pixels is screen width times MARKER_SCALE.
MARKER_TYPE_ASTERISK - Static variable in class com.imsl.chart.ChartNode
Flag for a asterisk data marker.
MARKER_TYPE_CIRCLE_CIRCLE - Static variable in class com.imsl.chart.ChartNode
Flag for a circle in a circle data marker.
MARKER_TYPE_CIRCLE_PLUS - Static variable in class com.imsl.chart.ChartNode
Flag for a plus in a circle data marker.
MARKER_TYPE_CIRCLE_X - Static variable in class com.imsl.chart.ChartNode
Flag for an x in a circle data marker.
MARKER_TYPE_DIAMOND_PLUS - Static variable in class com.imsl.chart.ChartNode
Flag for a plus in a diamond data marker.
MARKER_TYPE_FILLED_CIRCLE - Static variable in class com.imsl.chart.ChartNode
Flag for a filled circle data marker.
MARKER_TYPE_FILLED_DIAMOND - Static variable in class com.imsl.chart.ChartNode
Flag for a filled diamond data marker.
MARKER_TYPE_FILLED_SQUARE - Static variable in class com.imsl.chart.ChartNode
Flag for a filled square data marker.
MARKER_TYPE_FILLED_TRIANGLE - Static variable in class com.imsl.chart.ChartNode
Flag for a filled triangle data marker.
MARKER_TYPE_HOLLOW_CIRCLE - Static variable in class com.imsl.chart.ChartNode
Flag for a hollow circle data marker.
MARKER_TYPE_HOLLOW_DIAMOND - Static variable in class com.imsl.chart.ChartNode
Flag for a hollow diamond data marker.
MARKER_TYPE_HOLLOW_SQUARE - Static variable in class com.imsl.chart.ChartNode
Flag for a hollow square data marker.
MARKER_TYPE_HOLLOW_TRIANGLE - Static variable in class com.imsl.chart.ChartNode
Flag for hollow triangle data marker.
MARKER_TYPE_OCTAGON_PLUS - Static variable in class com.imsl.chart.ChartNode
Flag for a plus in an octagon data marker.
MARKER_TYPE_OCTAGON_X - Static variable in class com.imsl.chart.ChartNode
Flag for a x in an octagon data marker.
MARKER_TYPE_PLUS - Static variable in class com.imsl.chart.ChartNode
Flag for a plus-shaped data marker.
MARKER_TYPE_SQUARE_PLUS - Static variable in class com.imsl.chart.ChartNode
Flag for a plus in a square data marker.
MARKER_TYPE_SQUARE_X - Static variable in class com.imsl.chart.ChartNode
Flag for an x in a square data marker.
MARKER_TYPE_X - Static variable in class com.imsl.chart.ChartNode
Flag for a x-shaped data marker.
markerColor - Variable in class com.imsl.chart.Draw
 
markerDashPattern - Variable in class com.imsl.chart.Draw
 
markerSize - Variable in class com.imsl.chart.Draw
 
markerThickness - Variable in class com.imsl.chart.Draw
 
markerType - Variable in class com.imsl.chart.Draw
 
MASS - Static variable in class com.imsl.math.Physical
 
Matrix - class com.imsl.math.Matrix.
Matrix manipulation functions.
max(double, double) - Static method in class com.imsl.math.JMath
Returns the larger of two doubles.
max(float, float) - Static method in class com.imsl.math.JMath
Returns the larger of two floats.
max(int, int) - Static method in class com.imsl.math.JMath
Returns the larger of two ints.
max(long, long) - Static method in class com.imsl.math.JMath
Returns the larger of two doubles.
MAXIMUM_LIKELIHOOD - Static variable in class com.imsl.stat.FactorAnalysis
Indicates maximum likelihood method.
maximum(double[]) - Static method in class com.imsl.stat.Summary
Returns the maximum of the given data set.
mduration(GregorianCalendar, GregorianCalendar, double, double, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the modified Macauley duration for a security with an assumed par value of $100.
mean(double[]) - Static method in class com.imsl.stat.Summary
Returns the mean of the given data set.
mean(double[], double[]) - Static method in class com.imsl.stat.Summary
Returns the mean of the given data set with associated weights.
median(double[]) - Static method in class com.imsl.stat.Summary
Returns the median of the given data set.
Messages - class com.imsl.Messages.
Retrieve and format message strings.
Messages() - Constructor for class com.imsl.Messages
 
METHOD_OF_MOMENTS - Static variable in class com.imsl.stat.ARMA
Indicates method of moments algorithm.
min(double, double) - Static method in class com.imsl.math.JMath
Returns the smaller of two doubles.
min(float, float) - Static method in class com.imsl.math.JMath
Returns the smaller of two floats.
min(int, int) - Static method in class com.imsl.math.JMath
Returns the smaller of two ints.
min(long, long) - Static method in class com.imsl.math.JMath
Returns the smaller of two longs.
MinConGenLin - class com.imsl.math.MinConGenLin.
Minimizes a general objective function subject to linear equality/inequality constraints.
MinConGenLin.ConstraintsInconsistentException - exception com.imsl.math.MinConGenLin.ConstraintsInconsistentException.
The equality constraints are inconsistent.
MinConGenLin.ConstraintsInconsistentException(String) - Constructor for class com.imsl.math.MinConGenLin.ConstraintsInconsistentException
 
MinConGenLin.ConstraintsInconsistentException(String, Object[]) - Constructor for class com.imsl.math.MinConGenLin.ConstraintsInconsistentException
 
MinConGenLin.ConstraintsNotSatisfiedException - exception com.imsl.math.MinConGenLin.ConstraintsNotSatisfiedException.
No vector x satisfies all of the constraints.
MinConGenLin.ConstraintsNotSatisfiedException(String) - Constructor for class com.imsl.math.MinConGenLin.ConstraintsNotSatisfiedException
 
MinConGenLin.ConstraintsNotSatisfiedException(String, Object[]) - Constructor for class com.imsl.math.MinConGenLin.ConstraintsNotSatisfiedException
 
MinConGenLin.EqualityConstraintsException - exception com.imsl.math.MinConGenLin.EqualityConstraintsException.
the variables are determined by the equality constraints.
MinConGenLin.EqualityConstraintsException(String) - Constructor for class com.imsl.math.MinConGenLin.EqualityConstraintsException
 
MinConGenLin.EqualityConstraintsException(String, Object[]) - Constructor for class com.imsl.math.MinConGenLin.EqualityConstraintsException
 
MinConGenLin.Function - interface com.imsl.math.MinConGenLin.Function.
Public interface for the user-supplied function to evaluate the function to be minimized.
MinConGenLin.Gradient - interface com.imsl.math.MinConGenLin.Gradient.
Public interface for the user-supplied function to compute the gradient.
MinConGenLin.VarBoundsInconsistentException - exception com.imsl.math.MinConGenLin.VarBoundsInconsistentException.
The equality constraints and the bounds on the variables are found to be inconsistent.
MinConGenLin.VarBoundsInconsistentException(String) - Constructor for class com.imsl.math.MinConGenLin.VarBoundsInconsistentException
 
MinConGenLin.VarBoundsInconsistentException(String, Object[]) - Constructor for class com.imsl.math.MinConGenLin.VarBoundsInconsistentException
 
MinConGenLin(MinConGenLin.Function, int, int, int, double[], double[], double[], double[]) - Constructor for class com.imsl.math.MinConGenLin
Constructor for MinConGenLin.
MinConNLP - class com.imsl.math.MinConNLP.
General nonlinear programming solver.
MinConNLP.BadInitialGuessException - exception com.imsl.math.MinConNLP.BadInitialGuessException.
Penalty function point infeasible for original problem.
MinConNLP.BadInitialGuessException(String) - Constructor for class com.imsl.math.MinConNLP.BadInitialGuessException
 
MinConNLP.BadInitialGuessException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.BadInitialGuessException
 
MinConNLP.ConstraintEvaluationException - exception com.imsl.math.MinConNLP.ConstraintEvaluationException.
Constraint evaluation returns an error with current point.
MinConNLP.ConstraintEvaluationException(String) - Constructor for class com.imsl.math.MinConNLP.ConstraintEvaluationException
 
MinConNLP.ConstraintEvaluationException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.ConstraintEvaluationException
 
MinConNLP.Formatter - class com.imsl.math.MinConNLP.Formatter.
Simple formatter for MinConNLP logging
MinConNLP.Formatter() - Constructor for class com.imsl.math.MinConNLP.Formatter
 
MinConNLP.Function - interface com.imsl.math.MinConNLP.Function.
Public interface for the user supplied function to the MinConNLP object.
MinConNLP.Gradient - interface com.imsl.math.MinConNLP.Gradient.
Public interface for the user supplied function to compute the gradient for MinConNLP object.
MinConNLP.IllConditionedException - exception com.imsl.math.MinConNLP.IllConditionedException.
Problem is singular or ill-conditioned.
MinConNLP.IllConditionedException(String) - Constructor for class com.imsl.math.MinConNLP.IllConditionedException
 
MinConNLP.IllConditionedException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.IllConditionedException
 
MinConNLP.LimitingAccuracyException - exception com.imsl.math.MinConNLP.LimitingAccuracyException.
Limiting accuracy reached for a singular problem.
MinConNLP.LimitingAccuracyException(String) - Constructor for class com.imsl.math.MinConNLP.LimitingAccuracyException
 
MinConNLP.LimitingAccuracyException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.LimitingAccuracyException
 
MinConNLP.LinearlyDependentGradientsException - exception com.imsl.math.MinConNLP.LinearlyDependentGradientsException.
Working set gradients are linearly dependent.
MinConNLP.LinearlyDependentGradientsException(String) - Constructor for class com.imsl.math.MinConNLP.LinearlyDependentGradientsException
 
MinConNLP.LinearlyDependentGradientsException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.LinearlyDependentGradientsException
 
MinConNLP.ObjectiveEvaluationException - exception com.imsl.math.MinConNLP.ObjectiveEvaluationException.
Objective evaluation returns an error with current point.
MinConNLP.ObjectiveEvaluationException(String) - Constructor for class com.imsl.math.MinConNLP.ObjectiveEvaluationException
 
MinConNLP.ObjectiveEvaluationException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.ObjectiveEvaluationException
 
MinConNLP.PenaltyFunctionPointInfeasibleException - exception com.imsl.math.MinConNLP.PenaltyFunctionPointInfeasibleException.
Penalty function point infeasible.
MinConNLP.PenaltyFunctionPointInfeasibleException(String) - Constructor for class com.imsl.math.MinConNLP.PenaltyFunctionPointInfeasibleException
 
MinConNLP.PenaltyFunctionPointInfeasibleException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.PenaltyFunctionPointInfeasibleException
 
MinConNLP.QPInfeasibleException - exception com.imsl.math.MinConNLP.QPInfeasibleException.
QP problem seemingly infeasible.
MinConNLP.QPInfeasibleException(String) - Constructor for class com.imsl.math.MinConNLP.QPInfeasibleException
 
MinConNLP.QPInfeasibleException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.QPInfeasibleException
 
MinConNLP.SingularException - exception com.imsl.math.MinConNLP.SingularException.
Problem is singular.
MinConNLP.SingularException(String) - Constructor for class com.imsl.math.MinConNLP.SingularException
 
MinConNLP.SingularException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.SingularException
 
MinConNLP.TerminationCriteriaNotSatisfiedException - exception com.imsl.math.MinConNLP.TerminationCriteriaNotSatisfiedException.
Termination criteria are not satisfied.
MinConNLP.TerminationCriteriaNotSatisfiedException(String) - Constructor for class com.imsl.math.MinConNLP.TerminationCriteriaNotSatisfiedException
 
MinConNLP.TerminationCriteriaNotSatisfiedException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.TerminationCriteriaNotSatisfiedException
 
MinConNLP.TooManyIterationsException - exception com.imsl.math.MinConNLP.TooManyIterationsException.
Maximum number of iterations exceeded.
MinConNLP.TooManyIterationsException(String) - Constructor for class com.imsl.math.MinConNLP.TooManyIterationsException
 
MinConNLP.TooManyIterationsException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.TooManyIterationsException
 
MinConNLP.WorkingSetSingularException - exception com.imsl.math.MinConNLP.WorkingSetSingularException.
Working set is singular in dual extended QP.
MinConNLP.WorkingSetSingularException(String) - Constructor for class com.imsl.math.MinConNLP.WorkingSetSingularException
 
MinConNLP.WorkingSetSingularException(String, Object[]) - Constructor for class com.imsl.math.MinConNLP.WorkingSetSingularException
 
MinConNLP(int, int, int) - Constructor for class com.imsl.math.MinConNLP
Nonlinear programming solver constructor.
minimum(double[]) - Static method in class com.imsl.stat.Summary
Returns the minimum of the given data set.
MinorTick - class com.imsl.chart.MinorTick.
The minor tick marks.
MinUncon - class com.imsl.math.MinUncon.
Unconstrained minimization.
MinUncon.Derivative - interface com.imsl.math.MinUncon.Derivative.
Public interface for the user supplied function to the MinUncon object.
MinUncon.Function - interface com.imsl.math.MinUncon.Function.
Public interface for the user supplied function to the MinUncon object.
MinUncon() - Constructor for class com.imsl.math.MinUncon
Unconstrained minimum constructor for a smooth function of a single variable of type double.
MinUnconMultiVar - class com.imsl.math.MinUnconMultiVar.
Unconstrained multivariate minimization.
MinUnconMultiVar.ApproximateMinimumException - exception com.imsl.math.MinUnconMultiVar.ApproximateMinimumException.
Scaled step tolerance satisfied; the current point may be an approximate local solution, or the algorithm is making very slow progress and is not near a solution, or the scaled step tolerance is too big.
MinUnconMultiVar.ApproximateMinimumException(String) - Constructor for class com.imsl.math.MinUnconMultiVar.ApproximateMinimumException
 
MinUnconMultiVar.ApproximateMinimumException(String, Object[]) - Constructor for class com.imsl.math.MinUnconMultiVar.ApproximateMinimumException
 
MinUnconMultiVar.FalseConvergenceException - exception com.imsl.math.MinUnconMultiVar.FalseConvergenceException.
False convergence error; the iterates appear to be converging to a noncritical point.
MinUnconMultiVar.FalseConvergenceException(String) - Constructor for class com.imsl.math.MinUnconMultiVar.FalseConvergenceException
 
MinUnconMultiVar.FalseConvergenceException(String, Object[]) - Constructor for class com.imsl.math.MinUnconMultiVar.FalseConvergenceException
 
MinUnconMultiVar.Function - interface com.imsl.math.MinUnconMultiVar.Function.
Public interface for the user supplied function to the MinUnconMultiVar object.
MinUnconMultiVar.Gradient - interface com.imsl.math.MinUnconMultiVar.Gradient.
Public interface for the user supplied gradient to the MinUnconMultiVar object.
MinUnconMultiVar.MaxIterationsException - exception com.imsl.math.MinUnconMultiVar.MaxIterationsException.
Maximum number of iterations exceeded.
MinUnconMultiVar.MaxIterationsException(String) - Constructor for class com.imsl.math.MinUnconMultiVar.MaxIterationsException
 
MinUnconMultiVar.MaxIterationsException(String, Object[]) - Constructor for class com.imsl.math.MinUnconMultiVar.MaxIterationsException
 
MinUnconMultiVar.UnboundedBelowException - exception com.imsl.math.MinUnconMultiVar.UnboundedBelowException.
Five consecutive steps of the maximum allowable stepsize have been taken, either the function is unbounded below, or has a finite asymptote in some direction or the maximum allowable step size is too small.
MinUnconMultiVar.UnboundedBelowException(String) - Constructor for class com.imsl.math.MinUnconMultiVar.UnboundedBelowException
 
MinUnconMultiVar.UnboundedBelowException(String, Object[]) - Constructor for class com.imsl.math.MinUnconMultiVar.UnboundedBelowException
 
MinUnconMultiVar(int) - Constructor for class com.imsl.math.MinUnconMultiVar
Unconstrained minimum constructor for a function of n variables of type double.
mirr(double[], double, double) - Static method in class com.imsl.finance.Finance
Returns the modified internal rate of return for a schedule of periodic cash flows.
mode(double[]) - Static method in class com.imsl.stat.Summary
Returns the mode of the given data set.
MORANS_FORMULA - Static variable in class com.imsl.stat.AutoCorrelation
Indicates standard error computation using Moran's formula.
mouseDragged(MouseEvent) - Method in class com.imsl.chart.ToolTip
Part of the MouseMotionListener interface.
mouseMoved(MouseEvent) - Method in class com.imsl.chart.ToolTip
Part of the MouseMotionListener interface.
moveToCurrentRow() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the remembered cursor position, usually the current row.
moveToInsertRow() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the insert row.
MultiCrossCorrelation - class com.imsl.stat.MultiCrossCorrelation.
Computes the multichannel cross-correlation function of two mutually stationary multichannel time series.
MultiCrossCorrelation.NonPosVariancesException - exception com.imsl.stat.MultiCrossCorrelation.NonPosVariancesException.
The problem is ill-conditioned.
MultiCrossCorrelation.NonPosVariancesException(String) - Constructor for class com.imsl.stat.MultiCrossCorrelation.NonPosVariancesException
 
MultiCrossCorrelation.NonPosVariancesException(String, Object[]) - Constructor for class com.imsl.stat.MultiCrossCorrelation.NonPosVariancesException
 
MultiCrossCorrelation(double[][], double[][], int) - Constructor for class com.imsl.stat.MultiCrossCorrelation
Constructor to compute the multichannel cross-correlation function of two mutually stationary mulitchannel time series.
MultipleComparisons - class com.imsl.stat.MultipleComparisons.
Performs Student-Newman-Keuls multiple comparisons test.
MultipleComparisons(double[], int, double) - Constructor for class com.imsl.stat.MultipleComparisons
Constructor for MultipleComparisons.
multiply(Complex[][], Complex[]) - Static method in class com.imsl.math.ComplexMatrix
Multiply the rectangular array a and the column vector x, both Complex.
multiply(Complex[][], Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Multiply two Complex rectangular arrays, a * b.
multiply(Complex[], Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Return the product of the row vector x and the rectangular array a, both Complex.
multiply(Complex, Complex) - Static method in class com.imsl.math.Complex
Returns the product of two Complex objects, x * y.
multiply(Complex, double) - Static method in class com.imsl.math.Complex
Returns the product of a Complex object and a double, x * y.
multiply(double[][], double[]) - Static method in class com.imsl.math.Matrix
Multiply the rectangular array a and the column array x.
multiply(double[][], double[][]) - Static method in class com.imsl.math.Matrix
Multiply two rectangular arrays, a * b.
multiply(double[], double[][]) - Static method in class com.imsl.math.Matrix
Return the product of the row array x and the rectangular array a.
multiply(double, Complex) - Static method in class com.imsl.math.Complex
Returns the product of a double and a Complex object, x * y.
multiply(double, Physical) - Static method in class com.imsl.math.Physical
Multiply a double and a Physical object
multiply(Physical, double) - Static method in class com.imsl.math.Physical
Multiply a Physical object and a double
multiply(Physical, Physical) - Static method in class com.imsl.math.Physical
Multiply two Physical objects.
multiplyImag(Complex, double) - Static method in class com.imsl.math.Complex
Returns the product of a Complex object and a pure imaginary double, x * iy.
multiplyImag(double, Complex) - Static method in class com.imsl.math.Complex
Returns the product of a pure imaginary double and a Complex object, ix * y.

N

nCoef - Variable in class com.imsl.math.BsLeastSquares
Number of B-spline coefficients.
negate(Complex) - Static method in class com.imsl.math.Complex
Returns the negative of a Complex object, -z.
negate(Physical) - Static method in class com.imsl.math.Physical
Negate a Physical object.
next() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor down one row from its current position.
next(int) - Method in class com.imsl.stat.Random
Generates the next pseudorandom number.
nextAfter(double, double) - Static method in class com.imsl.math.IEEE
Returns the next machine floating-point number next to x in the direction toward y.
nextBeta(double, double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a beta distribution.
nextBinomial(int, double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a binomial distribution.
nextCauchy() - Method in class com.imsl.stat.Random
Generates a pseudorandom number from a Cauchy distribution.
nextChiSquared(double) - Method in class com.imsl.stat.Random
Generates a pseudorandom number from a Chi-squared distribution.
nextDouble() - Method in class com.imsl.stat.FaureSequence
Returns the first value of the next point in the sequence.
nextExponential() - Method in class com.imsl.stat.Random
Generates a pseudorandom number from a standard exponential distribution.
nextExponentialMix(double, double, double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a mixture of two exponential distributions.
nextGamma(double) - Method in class com.imsl.stat.Random
Generates a pseudorandom number from a standard gamma distribution.
nextGeometric(double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a geometric distribution.
nextHypergeometric(int, int, int) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a hypergeometric distribution.
nextLogarithmic(double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a logarithmic distribution.
nextLogNormal(double, double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a lognormal distribution.
nextMultivariateNormal(int, Cholesky) - Method in class com.imsl.stat.Random
Generate pseudorandom numbers from a multivariate normal distribution.
nextNegativeBinomial(double, double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a negative binomial distribution.
nextNormal() - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a standard normal distribution using an inverse CDF method.
nextNormalAR() - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a standard normal distribution using an acceptance/rejection method.
nextPoint() - Method in class com.imsl.stat.FaureSequence
Returns the next point in the sequence.
nextPoint() - Method in interface com.imsl.stat.RandomSequence
Returns the next multidimensional point in the sequence.
nextPoisson(double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a Poisson distribution.
nextPrime(int) - Static method in class com.imsl.stat.FaureSequence
Returns the smallest prime greater than or equal to n.
nextStudentsT(double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a Student's t distribution.
nextToken() - Method in class com.imsl.io.Tokenizer
Returns the next token.
nextTriangular() - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a triangular distribution on the interval (0,1).
nextVonMises(double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a von Mises distribution.
nextWeibull(double) - Method in class com.imsl.stat.Random
Generate a pseudorandom number from a Weibull distribution.
node - Variable in class com.imsl.chart.Draw
 
nominal(double, int) - Static method in class com.imsl.finance.Finance
Returns the nominal annual interest rate.
NONE - Static variable in class com.imsl.chart.Draw
 
NonlinLeastSquares - class com.imsl.math.NonlinLeastSquares.
Nonlinear least squares.
NonlinLeastSquares.FalseConvergenceException - exception com.imsl.math.NonlinLeastSquares.FalseConvergenceException.
The iterates appear to be converging to a non-critical point.
NonlinLeastSquares.FalseConvergenceException(String) - Constructor for class com.imsl.math.NonlinLeastSquares.FalseConvergenceException
 
NonlinLeastSquares.FalseConvergenceException(String, Object[]) - Constructor for class com.imsl.math.NonlinLeastSquares.FalseConvergenceException
 
NonlinLeastSquares.Function - interface com.imsl.math.NonlinLeastSquares.Function.
Public interface for the user supplied function to the NonlinLeastSquares object.
NonlinLeastSquares.Jacobian - interface com.imsl.math.NonlinLeastSquares.Jacobian.
Public interface for the user supplied function to the NonlinLeastSquares object.
NonlinLeastSquares.RelativeFunctionConvergenceException - exception com.imsl.math.NonlinLeastSquares.RelativeFunctionConvergenceException.
The scaled and predicted reductions in the function are less than or equal to the relative function convergence tolerance.
NonlinLeastSquares.RelativeFunctionConvergenceException(String) - Constructor for class com.imsl.math.NonlinLeastSquares.RelativeFunctionConvergenceException
 
NonlinLeastSquares.RelativeFunctionConvergenceException(String, Object[]) - Constructor for class com.imsl.math.NonlinLeastSquares.RelativeFunctionConvergenceException
 
NonlinLeastSquares.StepMaxException - exception com.imsl.math.NonlinLeastSquares.StepMaxException.
Either the function is unbounded below, has a finite asymptote in some direction, or the maximum stepsize is too small.
NonlinLeastSquares.StepMaxException(String) - Constructor for class com.imsl.math.NonlinLeastSquares.StepMaxException
 
NonlinLeastSquares.StepMaxException(String, Object[]) - Constructor for class com.imsl.math.NonlinLeastSquares.StepMaxException
 
NonlinLeastSquares.StepToleranceException - exception com.imsl.math.NonlinLeastSquares.StepToleranceException.
Various possible errors involving the step tolerance.
NonlinLeastSquares.StepToleranceException(String) - Constructor for class com.imsl.math.NonlinLeastSquares.StepToleranceException
 
NonlinLeastSquares.StepToleranceException(String, Object[]) - Constructor for class com.imsl.math.NonlinLeastSquares.StepToleranceException
 
NonlinLeastSquares.TooManyIterationsException - exception com.imsl.math.NonlinLeastSquares.TooManyIterationsException.
Too many iterations.
NonlinLeastSquares.TooManyIterationsException() - Constructor for class com.imsl.math.NonlinLeastSquares.TooManyIterationsException
 
NonlinLeastSquares.TooManyIterationsException(Object[]) - Constructor for class com.imsl.math.NonlinLeastSquares.TooManyIterationsException
 
NonlinLeastSquares.TooManyIterationsException(String, Object[]) - Constructor for class com.imsl.math.NonlinLeastSquares.TooManyIterationsException
 
NonlinLeastSquares(int, int) - Constructor for class com.imsl.math.NonlinLeastSquares
Creates an object to solve a nonlinear least squares problem.
normal(double) - Static method in class com.imsl.stat.Cdf
Evaluates the normal (Gaussian) distribution function.
NormalityTest - class com.imsl.stat.NormalityTest.
Performs a test for normality.
NormalityTest.NoVariationInputException - exception com.imsl.stat.NormalityTest.NoVariationInputException.
There is no variation in the input data.
NormalityTest.NoVariationInputException(String) - Constructor for class com.imsl.stat.NormalityTest.NoVariationInputException
 
NormalityTest.NoVariationInputException(String, Object[]) - Constructor for class com.imsl.stat.NormalityTest.NoVariationInputException
 
NormalityTest(double[]) - Constructor for class com.imsl.stat.NormalityTest
Constructor for NormalityTest.
NormOneSample - class com.imsl.stat.NormOneSample.
Computes statistics for mean and variance inferences using a sample from a normal population.
NormOneSample(double[]) - Constructor for class com.imsl.stat.NormOneSample
Constructor to compute statistics for mean and variance inferences using a sample from a normal population.
NormTwoSample - class com.imsl.stat.NormTwoSample.
Computes statistics for mean and variance inferences using samples from two normal populations.
NormTwoSample(double[], double[]) - Constructor for class com.imsl.stat.NormTwoSample
Constructor to compute statistics for mean and variance inferences using samples from two normal populations.
NOT_A_KNOT - Static variable in class com.imsl.math.CsInterpolate
 
nper(double, double, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the number of periods for an investment for which periodic, and constant payments are made and the interest rate is constant.
npv(double, double[]) - Static method in class com.imsl.finance.Finance
Returns the net present value of a stream of equal periodic cash flows, which are subject to a given discount rate.
numberFormat - Variable in class com.imsl.math.PrintMatrixFormat
The NumberFormat to be used in formatting double and Complex entries.

O

OdeRungeKutta - class com.imsl.math.OdeRungeKutta.
Solves an initial-value problem for ordinary differential equations using the Runge-Kutta-Verner fifth-order and sixth-order method.
OdeRungeKutta.DidNotConvergeException - exception com.imsl.math.OdeRungeKutta.DidNotConvergeException.
The iteration did not converge.
OdeRungeKutta.DidNotConvergeException(String) - Constructor for class com.imsl.math.OdeRungeKutta.DidNotConvergeException
 
OdeRungeKutta.DidNotConvergeException(String, Object[]) - Constructor for class com.imsl.math.OdeRungeKutta.DidNotConvergeException
 
OdeRungeKutta.Function - interface com.imsl.math.OdeRungeKutta.Function.
Public interface for user supplied function to OdeRungeKutta object.
OdeRungeKutta.ToleranceTooSmallException - exception com.imsl.math.OdeRungeKutta.ToleranceTooSmallException.
Tolerance is too small.
OdeRungeKutta.ToleranceTooSmallException(String, Object[]) - Constructor for class com.imsl.math.OdeRungeKutta.ToleranceTooSmallException
 
OdeRungeKutta(OdeRungeKutta.Function) - Constructor for class com.imsl.math.OdeRungeKutta
Constructs an ODE solver to solve the initial value problem dy/dx = f(x,y)
oneNorm(Complex[][]) - Static method in class com.imsl.math.ComplexMatrix
Return the Complex matrix one norm.
oneNorm(double[][]) - Static method in class com.imsl.math.Matrix
Return the matrix one norm.
order - Variable in class com.imsl.math.BSpline
Order of the spline.
out - Variable in class com.imsl.WarningObject
The warning stream.
outline - Static variable in class com.imsl.chart.Draw
Markers defined on a [-1,1] x [-1,1] grid.

P

paint(Draw) - Method in class com.imsl.chart.ToolTip
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.PieSlice
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.ErrorBar
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.ContourLevel
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Contour
 
paint(Draw) - Method in class com.imsl.chart.Contour.Legend
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.CandlestickItem
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.HighLowClose
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Candlestick
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.BoxPlot
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.BarItem
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.BarSet
 
paint(Draw) - Method in class com.imsl.chart.Bar
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisRLabel
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisRLine
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisRMajorTick
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.GridPolar
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisTheta
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Polar
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisR
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Grid
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.MinorTick
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.MajorTick
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisUnit
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisTitle
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisLine
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisLabel
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Data
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Axis1D
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Legend
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.ChartTitle
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.AxisXY
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Background
Paint this node.
paint(Draw) - Method in class com.imsl.chart.Chart
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.ChartNode
Paints this node and all of its children.
paint(Draw) - Method in class com.imsl.chart.Axis
Paints this node and all of its children.
paint(Graphics) - Method in class com.imsl.chart.Chart
Paints this node and all of its children.
paintChart(Graphics) - Method in class com.imsl.chart.Chart
Draw the chart using the given Graphics object.
paintComponent(Graphics) - Method in class com.imsl.chart.JPanelChart
 
paintImage() - Method in class com.imsl.chart.Chart
Returns an Image of the chart.
PARSE_BYTE - Static variable in class com.imsl.io.FlatFile
Implements a Parser that comverts a String to a Byte.
PARSE_DOUBLE - Static variable in class com.imsl.io.FlatFile
Implements a Parser that comverts a String to a Double.
PARSE_FLOAT - Static variable in class com.imsl.io.FlatFile
Implements a Parser that comverts a String to a Float.
PARSE_INTEGER - Static variable in class com.imsl.io.FlatFile
Implements a Parser that comverts a String to a Integer.
PARSE_LONG - Static variable in class com.imsl.io.FlatFile
Implements a Parser that comverts a String to a Long.
PARSE_SHORT - Static variable in class com.imsl.io.FlatFile
Implements a Parser that comverts a String to a Short.
parse(String) - Method in class com.imsl.io.Tokenizer
Sets the line to be tokenized.
parse(String) - Method in interface com.imsl.io.FlatFile.Parser
Parse a String into an Object.
parseColor(String) - Static method in class com.imsl.chart.ChartNode
Returns a color specified by name or a red-green-blue triple.
path - Variable in class com.imsl.chart.Draw
 
performanceIndex(double[][]) - Method in class com.imsl.math.SymEigen
Returns the performance index of a real symmetric eigensystem.
performanceIndex(double[][]) - Method in class com.imsl.math.Eigen
Returns the performance index of a real eigensystem.
Physical - class com.imsl.math.Physical.
Return the value of various mathematical and physical constants.
Physical() - Constructor for class com.imsl.math.Physical
Constructs a new 0-valued, dimensionless object.
Physical(double, int, int, int, int, int) - Constructor for class com.imsl.math.Physical
Constructs a new Physical object and initializes this object to a double value along with int values for length, mass, time, current, and temperature.
Physical(double, String) - Constructor for class com.imsl.math.Physical
Constructs a new Physical object and initializes this object to a double value.
Physical(Physical) - Constructor for class com.imsl.math.Physical
Constructs a copy of a Physical object.
PI - Static variable in class com.imsl.math.JMath
 
pick(MouseEvent) - Method in class com.imsl.chart.Chart
Fire the PickListeners for the nodes hit by the event.
PickEvent - class com.imsl.chart.PickEvent.
An event that indicates that a chart element has been selected.
PickEvent(Component, int, long, int, int, int, int, boolean) - Constructor for class com.imsl.chart.PickEvent
Construct a PickEvent object at point (x,y).
PickEvent(MouseEvent) - Constructor for class com.imsl.chart.PickEvent
Construct a PickEvent object.
PickListener - interface com.imsl.chart.PickListener.
The listener interface for receiving pick events.
pickNode() - Method in class com.imsl.chart.DrawPick
Register the currentNode as the "picked" node if the "PickListener" attribute is defined for the current node.
pickPerformed(PickEvent) - Method in class com.imsl.chart.ToolTip
Part of the PickListener interface.
pickPerformed(PickEvent) - Method in interface com.imsl.chart.PickListener
Public interface for PickListener.
Pie - class com.imsl.chart.Pie.
A pie chart.
Pie(Chart) - Constructor for class com.imsl.chart.Pie
Constructs a Pie chart object.
Pie(Chart, double[]) - Constructor for class com.imsl.chart.Pie
Constructs a Pie chart object with a specified number of slices.
PieSlice - class com.imsl.chart.PieSlice.
One wedge of a pie chart.
pmt(double, int, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the periodic payment for an investment.
poch(double, double) - Static method in class com.imsl.math.Sfun
Returns a generalization of Pochhammer's symbol.
pointToLine(int, int, int[], int[]) - Static method in class com.imsl.chart.PickEvent
Compute the distance from the point (Px,Py) to the line segment AB.
poisson(int, double) - Static method in class com.imsl.stat.Cdf
Evaluates the Poisson distribution function.
poissonProb(int, double) - Static method in class com.imsl.stat.Cdf
Evaluates the Poisson probability function.
Polar - class com.imsl.chart.Polar.
This Axis node is used for polar charts.
Polar(Chart) - Constructor for class com.imsl.chart.Polar
Create an AxisPolar.
poly(int[], int[]) - Method in class com.imsl.chart.DrawMap
Sets a polygon as the target.
POOL_INTERACTIONS - Static variable in class com.imsl.stat.ANOVAFactorial
Indicates factor nSubscripts is not error.
POOLED - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates Pooled covariances computed.
POOLED_GROUP - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates Pooled, group covariances computed.
pow(Complex, Complex) - Static method in class com.imsl.math.Complex
Returns the Complex x raised to the Complex y power.
pow(Complex, double) - Static method in class com.imsl.math.Complex
Returns the Complex z raised to the x power, with a branch cut for the first parameter (z) along the negative real axis.
pow(double, double) - Static method in class com.imsl.math.JMath
Returns x to the power y.
ppmt(double, int, int, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the payment on the principal for a specified period.
previous() - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor to the previous row in this ResultSet object.
price(GregorianCalendar, GregorianCalendar, double, double, double, int, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the price, per $100 face value, of a security that pays periodic interest.
pricedisc(GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the price of a discount bond given the discount rate.
pricemat(GregorianCalendar, GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the price, per $100 face value, of a discount bond.
priceyield(GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the price of a discount bond given the yield.
PRINCIPAL_COMPONENT_MODEL - Static variable in class com.imsl.stat.FactorAnalysis
Indicates principal component model.
PRINCIPAL_FACTOR_MODEL - Static variable in class com.imsl.stat.FactorAnalysis
Indicates principal factor model.
print() - Method in class com.imsl.chart.JPanelChart
Print the chart, centered on a page.
print(Graphics, PageFormat, int) - Method in class com.imsl.chart.Chart
This method implements the Printable interface.
print(Object) - Method in class com.imsl.math.PrintMatrix
Prints an nRow by nColumn matrix with specified format.
print(Object, String, String, Object[]) - Method in class com.imsl.WarningObject
Issue a warning message.
print(Object, String, String, Object[]) - Static method in class com.imsl.Warning
Issue a warning message.
print(PrintMatrixFormat, Object) - Method in class com.imsl.math.PrintMatrix
Prints an nRow by nColumn matrix with specified format.
print(String) - Method in class com.imsl.math.PrintMatrix
Print a string.
printHTML(PrintMatrixFormat, Object, int, int) - Method in class com.imsl.math.PrintMatrix
Prints an nRow by nColumn matrix with specified format for HTML output.
println() - Method in class com.imsl.math.PrintMatrix
Print a newline.
PrintMatrix - class com.imsl.math.PrintMatrix.
Matrix printing utilities.
PrintMatrix() - Constructor for class com.imsl.math.PrintMatrix
Creates an instance of the PrintMatrix class.
PrintMatrix(PrintStream) - Constructor for class com.imsl.math.PrintMatrix
Creates an instance of the PrintMatrix class with the specified PrintStream.
PrintMatrix(PrintStream, String) - Constructor for class com.imsl.math.PrintMatrix
Creates a PrintMatrix object with the specified PrintStream and sets its title.
PrintMatrix(String) - Constructor for class com.imsl.math.PrintMatrix
Creates a PrintMatrix object and sets its title.
PrintMatrixFormat - class com.imsl.math.PrintMatrixFormat.
This class can be used to customize the actions of PrintMatrix.
PrintMatrixFormat() - Constructor for class com.imsl.math.PrintMatrixFormat
Constructs a PrintMatrixFormat object.
PRIOR_EQUAL - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates prior probability type is to be prior equal.
PRIOR_PROPORTIONAL - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates prior probability type is to be prior proportional.
PURE_ERROR - Static variable in class com.imsl.stat.ANOVAFactorial
Indicates factor nSubscripts is error.
pv(double, int, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the net present value of a stream of equal periodic cash flows, which are subject to a given discount rate.

Q

QR - class com.imsl.math.QR.
QR Decomposition of a matrix.
QR(double[][]) - Constructor for class com.imsl.math.QR
Constructs the QR decomposition of a matrix with elements of type double.
QUADRATIC - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates a quadratic discrimination method.
QuadraticProgramming - class com.imsl.math.QuadraticProgramming.
Solves the convex quadratic programming problem subject to equality or inequality contstraints.
QuadraticProgramming.InconsistentSystemException - exception com.imsl.math.QuadraticProgramming.InconsistentSystemException.
Inconsistent system.
QuadraticProgramming.InconsistentSystemException() - Constructor for class com.imsl.math.QuadraticProgramming.InconsistentSystemException
 
QuadraticProgramming(double[][], double[], double[][], double[], double[][], double[]) - Constructor for class com.imsl.math.QuadraticProgramming
Solve a quadratic programming problem.
Quadrature - class com.imsl.math.Quadrature.
Quadrature is a general-purpose integrator that uses a globally adaptive scheme in order to reduce the absolute error.
Quadrature.Function - interface com.imsl.math.Quadrature.Function.
Public interface function for the Quadrature class.
Quadrature() - Constructor for class com.imsl.math.Quadrature
Constructs a Quadrature object.
QUARTERLY - Static variable in class com.imsl.finance.Bond
 

R

r9lgmc(double) - Static method in class com.imsl.math.Sfun
Returns the log gamma correction term for argument values greater than or equal to 10.0.
RadialBasis - class com.imsl.math.RadialBasis.
RadialBasis computes a least-squares fit to scattered data in {bf R}^d, where d is the dimension.
RadialBasis.Function - interface com.imsl.math.RadialBasis.Function.
Public interface for the user supplied function to the RadialBasis object.
RadialBasis.Gaussian - class com.imsl.math.RadialBasis.Gaussian.
The Gaussian basis function, e^{-ax^2}.
RadialBasis.Gaussian(double) - Constructor for class com.imsl.math.RadialBasis.Gaussian
 
RadialBasis.HardyMultiquadric - class com.imsl.math.RadialBasis.HardyMultiquadric.
The Hardy multiquadric basis function, sqrt{r^2+delta^2}.
RadialBasis.HardyMultiquadric(double) - Constructor for class com.imsl.math.RadialBasis.HardyMultiquadric
Creates a Hardy multiquadric basis function.
RadialBasis(int, int) - Constructor for class com.imsl.math.RadialBasis
Creates a new instance of RadialBasis.
RADIAN - Static variable in class com.imsl.chart.Draw
 
Random - class com.imsl.stat.Random.
Generate uniform and non-uniform random number distributions.
random() - Static method in class com.imsl.math.JMath
Returns a random number from a uniform distribution.
Random() - Constructor for class com.imsl.stat.Random
Constructor for the Random number generator class.
Random(long) - Constructor for class com.imsl.stat.Random
Constructor for the Random number generator class with supplied seed.
RandomSequence - interface com.imsl.stat.RandomSequence.
Interface implemented by generators of random or quasi-random multidimension sequences.
rank(double) - Method in class com.imsl.math.QR
Returns the rank of the matrix given an input tolerance.
Ranks - class com.imsl.stat.Ranks.
Compute the ranks, normal scores, or exponential scores for a vector of observations.
Ranks() - Constructor for class com.imsl.stat.Ranks
Constructor for the Ranks class.
rate(int, double, double, double, int) - Static method in class com.imsl.finance.Finance
Returns the interest rate per period of an annuity.
rate(int, double, double, double, int, double) - Static method in class com.imsl.finance.Finance
Returns the interest rate per period of an annuity with an initial guess.
readLine() - Method in class com.imsl.io.FlatFile
Reads and returns a line from the input.
real() - Method in class com.imsl.math.Complex
Returns the real part of a Complex object.
real(Complex) - Static method in class com.imsl.math.Complex
Returns the real part of a Complex object.
received(GregorianCalendar, GregorianCalendar, double, double, DayCountBasis) - Static method in class com.imsl.finance.Bond
Returns the amount one receives when a fully invested security reaches the maturity date.
RECLASSIFICATION - Static variable in class com.imsl.stat.DiscriminantAnalysis
Indicates reclassification as the classicfication method.
rect(int, int, int, int) - Method in class com.imsl.chart.DrawMap
Sets a rectangle as the target.
refreshRow() - Method in class com.imsl.io.AbstractFlatFile
Refreshes the current row with its most recent value in the database.
registerChart(Chart, HttpServletRequest) - Method in class com.imsl.chart.JspBean
Saves the chart and sets the chart attribute "Size".
RegressionBasis - interface com.imsl.stat.RegressionBasis.
Public interface for user supplied function to UserBasisRegression object.
relative(int) - Method in class com.imsl.io.AbstractFlatFile
Moves the cursor a relative number of rows, either positive or negative.
remove() - Method in class com.imsl.chart.ChartNode
Removes the node from its parents list of children.
removePickListener(PickListener) - Method in class com.imsl.chart.ChartNode
Removes a PickListener from this node.
repaint() - Method in class com.imsl.chart.Chart
Prepares the chart to be repainted by deleting any double buffering image.
rint(double) - Static method in class com.imsl.math.JMath
Returns the value of a double rounded toward the closest integral value.
round(double) - Static method in class com.imsl.math.JMath
Returns the long closest to a given double.
round(float) - Static method in class com.imsl.math.JMath
Returns the integer closest to a given float.
ROW_LABEL - Static variable in class com.imsl.math.PrintMatrixFormat
This flag as the type argument to format, indicates that the formatted string for a given row label is to be returned.
rowDeleted() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether a row has been deleted.
rowInserted() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether the current row has had an insertion.
rowUpdated() - Method in class com.imsl.io.AbstractFlatFile
Indicates whether the current row has been updated.

S

sampleStandardDeviation(double[]) - Static method in class com.imsl.stat.Summary
Returns the sample standard deviation of the given data set.
sampleStandardDeviation(double[], double[]) - Static method in class com.imsl.stat.Summary
Returns the sample standard deviation of the given data set and associated weights.
sampleVariance(double[]) - Static method in class com.imsl.stat.Summary
Returns the sample variance of the given data set.
sampleVariance(double[], double[]) - Static method in class com.imsl.stat.Summary
Returns the sample variance of the given data set and associated weights.
saveChart(Chart, HttpServletRequest) - Method in class com.imsl.chart.JspBean
Saves the chart so that a servlet can later render it.
scalbn(double, int) - Static method in class com.imsl.math.IEEE
Returns 2n computed by exponent manipulation rather than by actually performing an exponentiation or a multiplication.
scaledK(double, double, int) - Static method in class com.imsl.math.Bessel
Evaluate a sequence of exponentially scaled modified Bessel functions of the third kind with fractional order and real argument.
SECOND_DERIVATIVE - Static variable in class com.imsl.math.CsInterpolate
 
SEMIANNUAL - Static variable in class com.imsl.finance.Bond
 
setAbsoluteError(double) - Method in class com.imsl.math.ZeroFunction
Sets first stopping criterion.
setAbsoluteError(double) - Method in class com.imsl.math.HyperRectangleQuadrature
Sets the absolute error tolerance.
setAbsoluteError(double) - Method in class com.imsl.math.Quadrature
Sets the absolute error tolerance.
setAbsoluteFcnTol(double) - Method in class com.imsl.math.BoundedLeastSquares
Sets the absolute function tolerance.
setAbsoluteTolerance(double) - Method in class com.imsl.math.NonlinLeastSquares
Set the absolute function tolerance.
setAccuracy(double) - Method in class com.imsl.math.MinUncon
Set the required absolute accuracy in the final value returned by member function computeMin.
setAlignment(int) - Method in class com.imsl.chart.Text
Sets the alignment for this Text object.
setAlpha(double) - Method in class com.imsl.stat.MultipleComparisons
Sets the significance level of the test
setAngles(double, double) - Method in class com.imsl.chart.PieSlice
Sets the angles, in degrees, that determine the extent of this slice.
setARLags(int[]) - Method in class com.imsl.stat.ARMA
Sets the order of the autoregressive parameters.
setAttribute(String, Object) - Method in class com.imsl.chart.ChartNode
Sets an attribute.
setAutoscaleInput(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "AutoscaleInput" attribute.
setAutoscaleMinimumTimeInterval(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "AutoscaleMinimumTimeInterval" attribute.
setAutoscaleOutput(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "AutoscaleOutput" attribute.
setBackcasting(int, double) - Method in class com.imsl.stat.ARMA
Sets backcasting option.
setBackwardOrigin(int) - Method in class com.imsl.stat.ARMA
Sets the maximum backward origin.
setBarData(double[][][]) - Method in class com.imsl.chart.Bar
Convenience routine to set the "BarData" attribute.
setBarGap(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "BarGap" attribute.
setBarType(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "BarType" attribute.
setBarWidth(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "BarWidth" attribute.
setBindingThreshold(double) - Method in class com.imsl.math.MinConNLP
Set the binding threshold for constraints.
setBound(double) - Method in class com.imsl.math.MinUncon
Set the amount by which X may be changed from its initial value, xguess.
setBoundViolationBound(double) - Method in class com.imsl.math.MinConNLP
Set the amount by which bounds may be violated during numerical differentiation.
setBoxPlotType(int) - Method in class com.imsl.chart.BoxPlot
Sets the value of the "BoxPlotType" attribute.
setCenter(boolean) - Method in class com.imsl.stat.ARMA
Sets center option.
setChart(Chart) - Method in class com.imsl.chart.JPanelChart
Sets the Chart to be handled by this container.
setChart(Chart) - Method in class com.imsl.chart.JFrameChart
Sets the chart to be handled.
setChartServletName(String) - Method in class com.imsl.chart.JspBean
Sets the URL of the servlet used to render the chart.
setChartTitle(ChartTitle) - Method in class com.imsl.chart.ChartNode
Sets the value of the "ChartTitle" attribute.
setChiSquaredTestNull(double) - Method in class com.imsl.stat.NormTwoSample
Sets the null hypothesis value for the chi-squared test.
setChiSquaredTestNull(double) - Method in class com.imsl.stat.NormOneSample
Sets the null hypothesis value for the chi-squared test.
setClassificationMethod(int) - Method in class com.imsl.stat.DiscriminantAnalysis
Sets the classification method.
setClip(Rectangle) - Method in class com.imsl.chart.Draw
Set the clipping rectangle.
setClipData(boolean) - Method in class com.imsl.chart.ChartNode
Sets the value of the "ClipData" attribute.
setClose(double[]) - Method in class com.imsl.chart.HighLowClose
Sets the attribute "Close".
setColumnClass(int, Class) - Method in class com.imsl.io.AbstractFlatFile
Sets a column class.
setColumnClass(int, Class) - Method in class com.imsl.io.FlatFile
 
setColumnLabels(String[]) - Method in class com.imsl.math.PrintMatrixFormat
Turns on column labeling using the given labels.
setColumnName(int, String) - Method in class com.imsl.io.AbstractFlatFile
Sets a column name.
setColumnParser(int, FlatFile.Parser) - Method in class com.imsl.io.FlatFile
Sets the Parser for the specified column.
setColumnSpacing(int) - Method in class com.imsl.math.PrintMatrix
Sets the number of spaces between columns.
setComponent(Component) - Method in class com.imsl.chart.Chart
Sets the Component for this chart.
setConfidence(double) - Method in class com.imsl.stat.ARMA
Sets the confidence percent probability limits of the forecasts.
setConfidenceMean(double) - Method in class com.imsl.stat.NormTwoSample
Sets the confidence level (in percent) for a two-sided interval estimate of the mean of x - the mean of y, in percent.
setConfidenceMean(double) - Method in class com.imsl.stat.NormOneSample
Sets the confidence level (in percent) for a two-sided interval estimate of the mean.
setConfidenceVariance(double) - Method in class com.imsl.stat.NormTwoSample
Sets the confidence level (in percent) for two-sided interval estimate of the variances.
setConfidenceVariance(double) - Method in class com.imsl.stat.NormOneSample
Sets the confidence level (in percent) for two-sided interval estimate of the variances.
setConstraintType(int[]) - Method in class com.imsl.math.LinearProgramming
Sets the types of general constraints in the matrix a.
setConvergenceCriterion1(double) - Method in class com.imsl.stat.FactorAnalysis
Sets the convergence criterion used to terminate the iterations.
setConvergenceCriterion2(double) - Method in class com.imsl.stat.FactorAnalysis
Sets the convergence criterion used to switch to exact second derivatives.
setConvergenceTolerance(double) - Method in class com.imsl.stat.ARMA
Sets the tolerance level used to determine convergence of the nonlinear least-squares algorithm.
setCovarianceComputation(int) - Method in class com.imsl.stat.DiscriminantAnalysis
Sets the type of covariance matrices to be computed.
setCreateImageMap(boolean) - Method in class com.imsl.chart.JspBean
Sets a flag indicating if a client-size imagemap is to be generated.
setCross(double[]) - Method in class com.imsl.chart.AxisXY
Sets the value of the "Cross" attribute.
setCross(double, double) - Method in class com.imsl.chart.AxisXY
Sets the value of the "Cross" attribute.
setCustomTransform(Transform) - Method in class com.imsl.chart.ChartNode
Sets the value of the "CustomTransform" attribute.
setCutpoints(double[]) - Method in class com.imsl.stat.ChiSquaredTest
Sets the cutpoints.
setData(double[]) - Method in class com.imsl.chart.Pie
Changes the data in a Pie chart object.
setDataType(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "DataType" attribute.
setDateAxis(String) - Method in class com.imsl.chart.HighLowClose
Sets up the x-axis for high-low-close plot.
setDateColumnParser(int, String, Locale) - Method in class com.imsl.io.FlatFile
Creates for a pattern string and sets the Parser for the specified column.
setDefaultAlignment(int) - Method in class com.imsl.chart.Text
Sets the alignment to use, if it has not been set using setAlignment(int).
setDefaultOffset(double) - Method in class com.imsl.chart.Text
Sets the default value of the offset.
setDegreesOfFreedom(int) - Method in class com.imsl.stat.FactorAnalysis
Sets the number of degrees of freedom.
setDensity(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Density" attribute.
setDerivtol(double) - Method in class com.imsl.math.MinUncon
Set the derivative tolerance used by member function computeMin to decide if the current point is a local minimum.
setDiagonalScalingMatrix(double[]) - Method in class com.imsl.math.BoundedLeastSquares
Sets the diagonal scaling matrix for the functions.
setDifferentiationType(int) - Method in class com.imsl.math.MinConNLP
Set the type of numerical differentiation to be used.
setDigits(double) - Method in class com.imsl.math.MinUnconMultiVar
Set the number of good digits in the function.
setDigits(int) - Method in class com.imsl.math.NonlinLeastSquares
Set the number of good digits in the function.
setDiscriminationMethod(int) - Method in class com.imsl.stat.DiscriminantAnalysis
Sets the discrimination method.
setDoubleBuffering(boolean) - Method in class com.imsl.chart.ChartNode
Sets the value of the "DoubleBuffering" attribute.
setEqualColumnWidths(boolean) - Method in class com.imsl.math.PrintMatrix
Force all of the columns to have the same width.
setErrorIncludeType(int) - Method in class com.imsl.stat.ANOVAFactorial
Sets error included type.
setExplode(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Explode" attribute.
setExtrapolation(boolean) - Method in class com.imsl.math.Quadrature
If true, the epsilon-algorithm for extrapolation is enabled.
setFactorLoadingEstimationMethod(int) - Method in class com.imsl.stat.FactorAnalysis
Sets the factor loading estimation method.
setFalseConvergenceTolerance(double) - Method in class com.imsl.math.NonlinLeastSquares
Set the false convergence tolerance.
setFalseConvergenceTolerance(double) - Method in class com.imsl.math.MinUnconMultiVar
Set the false convergence tolerance.
setFetchDirection(int) - Method in class com.imsl.io.AbstractFlatFile
Gives a hint as to the direction in which the rows in this ResultSet object will be processed.
setFetchSize(int) - Method in class com.imsl.io.AbstractFlatFile
Gives the JDBC driver a hint as to the number of rows that should be fetched from the database when more rows are needed for this ResultSet object.
setFillColor(Color) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillColor" attribute.
setFillColor(String) - Method in class com.imsl.chart.ChartNode
Sets the "FillColor" attribute to a color specified by name.
setFillOutlineColor(Color) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillOutlineColor" attribute.
setFillOutlineColor(String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillOutlineColor" attribute to a color specified by name.
setFillOutlineType(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillOutlineType" attribute.
setFillPaint(ImageIcon) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillPaint" attribute.
setFillPaint(Paint) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillPaint" attribute.
setFillPaint(URL) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillPaint" attribute.
setFillType(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FillType" attribute.
setFirstColumnNumber(int) - Method in class com.imsl.math.PrintMatrixFormat
Turns on column labeling with index numbers and sets the index for the label of the first column.
setFirstRowNumber(int) - Method in class com.imsl.math.PrintMatrixFormat
Turns on row labeling with index numbers and sets the index for the label of the first row.
setFirstTick(double) - Method in class com.imsl.chart.Axis1D
Convenience routine to set the "FirstTick" attribute.
setFloor(double) - Method in class com.imsl.math.OdeRungeKutta
Sets the value used in the norm computation.
setFont(Font) - Method in class com.imsl.chart.ChartNode
Sets the value of the font attributes.
setFontName(String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FontName" attribute.
setFontSize(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FontSize" attribute.
setFontStyle(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "FontStyle" attribute.
setFrequencies(double[]) - Method in class com.imsl.stat.TableMultiWay
 
setFrequencies(double[]) - Method in class com.imsl.stat.Covariances
Sets the frequency for each observation.
setFrequencies(double[]) - Method in class com.imsl.stat.ClusterKMeans
Sets the frequency for each observation.
setFscale(double) - Method in class com.imsl.math.MinUnconMultiVar
Set the function scaling value for scaling the gradient.
setFscale(double[]) - Method in class com.imsl.math.NonlinLeastSquares
Set the diagonal scaling matrix for the functions.
setFunctionPrecision(double) - Method in class com.imsl.math.MinConNLP
Set the relative precision of the function evaluation routine.
setFuzz(double) - Method in class com.imsl.stat.WilcoxonRankSum
Sets the nonnegative constant used to determine ties in computing ranks in the combined samples.
setFuzz(double) - Method in class com.imsl.stat.Ranks
Sets the fuzz factor used in determining ties.
setGoodDigit(int) - Method in class com.imsl.math.BoundedLeastSquares
Sets the number of good digits in the function.
setGradient(Color[]) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Gradient" attribute.
setGradient(Color, Color, Color, Color) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Gradient" attribute.
setGradient(String, String, String, String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Gradient" attribute using named colors.
setGradientPrecision(double) - Method in class com.imsl.math.MinConNLP
Set the relative precision in gradients.
setGradientTol(double) - Method in class com.imsl.math.BoundedLeastSquares
Sets the scaled gradient tolerance.
setGradientTolerance(double) - Method in class com.imsl.math.NonlinLeastSquares
Set the gradient tolerance used to compute the gradient.
setGradientTolerance(double) - Method in class com.imsl.math.MinUnconMultiVar
Set the gradient tolerance used to compute the gradient.
setGuess(double) - Method in class com.imsl.math.MinUncon
Set the initial guess of the minimum point of the input function.
setGuess(double[]) - Method in class com.imsl.math.ZeroSystem
Sets the initial guess for the array x.
setGuess(double[]) - Method in class com.imsl.math.MinConGenLin
Sets an initial guess of the solution.
setGuess(double[]) - Method in class com.imsl.math.BoundedLeastSquares
Sets the initial guess of the solution.
setGuess(double[]) - Method in class com.imsl.math.NonlinLeastSquares
Set the initial guess of the minimum point of the input function.
setGuess(double[]) - Method in class com.imsl.math.MinUnconMultiVar
Set the initial guess of the minimum point of the input function.
setGuess(double[]) - Method in class com.imsl.math.MinConNLP
Set the initial guess of the minimum point of the input function.
setHigh(double[]) - Method in class com.imsl.chart.ErrorBar
Convenience routine to set the "High" attribute.
setHigh(double[]) - Method in class com.imsl.chart.HighLowClose
Convenience routine to set the "High" attribute.
setHREF(String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "HREF" attribute.
setIhess(int) - Method in class com.imsl.math.MinUnconMultiVar
Set the Hessian initialization parameter.
setImage(Image) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Image" attribute.
setImage(ImageIcon) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Image" attribute.
setInitialEstimates(double[], double[]) - Method in class com.imsl.stat.ARMA
Sets preliminary estimates.
setInitialStepsize(double) - Method in class com.imsl.math.OdeRungeKutta
Sets the initial internal step size.
setInitialTrustRegion(double) - Method in class com.imsl.math.NonlinLeastSquares
Set the initial trust region radius.
setInternalScale() - Method in class com.imsl.math.BoundedLeastSquares
Sets the internal variable scaling option.
setJacobian(BoundedLeastSquares.Jacobian) - Method in class com.imsl.math.BoundedLeastSquares
Sets the Jacobian.
setLabels(String[]) - Method in class com.imsl.chart.BoxPlot
Sets up an axis with labels.
setLabels(String[]) - Method in class com.imsl.chart.Bar
Sets up an axis with bar labels.
setLabels(String[]) - Method in class com.imsl.chart.AxisRLabel
Sets the axis label values for this node to be used instead of the default numbers.
setLabels(String[]) - Method in class com.imsl.chart.AxisLabel
Sets the axis label values for this node to be used instead of the default numbers.
setLabels(String[], int) - Method in class com.imsl.chart.BoxPlot
Sets up an axis with labels.
setLabels(String[], int) - Method in class com.imsl.chart.Bar
Sets up an axis with bar labels.
setLabelType(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "LabelType" attribute.
setLineColor(Color) - Method in class com.imsl.chart.ChartNode
Sets the value of the "LineColor" attribute.
setLineColor(String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "LineColor" attribute.
setLineDashPattern(double[]) - Method in class com.imsl.chart.ChartNode
Sets the value of the "LineDashPattern" attribute.
setLineWidth(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "LineWidth" attribute.
setLocale(Locale) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Locale" attribute.
setLow(double[]) - Method in class com.imsl.chart.ErrorBar
Convenience routine to set the "Low" attribute.
setLow(double[]) - Method in class com.imsl.chart.HighLowClose
Convenience routine to set the "Low" attribute.
setLowerBound(double[]) - Method in class com.imsl.math.LinearProgramming
Sets the upper limit of the constraints.
setMALags(int[]) - Method in class com.imsl.stat.ARMA
Sets the order of the moving average parameters.
setMarkerColor(Color) - Method in class com.imsl.chart.ChartNode
Sets the value of the "MarkerColor" attribute.
setMarkerColor(String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "MarkerColor" attribute to a color specified by name.
setMarkerDashPattern(double[]) - Method in class com.imsl.chart.ChartNode
Sets the value of the "MarkerDashPattern" attribute.
setMarkerSize(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "MarkerSize" attribute.
setMarkerThickness(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "MarkerThickness" attribute.
setMarkerType(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "MarkerType" attribute.
setMatrixType(int) - Method in class com.imsl.math.PrintMatrix
Set matrix type.
setMaximumFunctionEvals(int) - Method in class com.imsl.math.BoundedLeastSquares
Sets the maximum number of function evaluations.
setMaximumIteration(int) - Method in class com.imsl.math.LinearProgramming
Sets the maximum number of iterations.
setMaximumIteration(int) - Method in class com.imsl.math.BoundedLeastSquares
Sets the maximum number of iterations.
setMaximumJacobianEvals(int) - Method in class com.imsl.math.BoundedLeastSquares
Sets the maximum number of Jacobian evaluations.
setMaximumStepsize(double) - Method in class com.imsl.math.OdeRungeKutta
Sets the maximum internal step size.
setMaximumStepsize(double) - Method in class com.imsl.math.NonlinLeastSquares
Set the maximum allowable stepsize to use.
setMaximumStepsize(double) - Method in class com.imsl.math.MinUnconMultiVar
Set the maximum allowable stepsize to use.
setMaximumStepSize(double) - Method in class com.imsl.math.BoundedLeastSquares
Sets the maximum allowable step size.
setMaxIterations(int) - Method in class com.imsl.math.ZeroSystem
Sets the maximum number of iterations allowed.
setMaxIterations(int) - Method in class com.imsl.math.ZeroFunction
Sets the maximum number of iterations allowed per root.
setMaxIterations(int) - Method in class com.imsl.math.NonlinLeastSquares
Set the maximum number of iterations allowed.
setMaxIterations(int) - Method in class com.imsl.math.MinUnconMultiVar
Set the maximum number of iterations allowed.
setMaxIterations(int) - Method in class com.imsl.math.MinConNLP
Set the maximum number of iterations allowed.
setMaxIterations(int) - Method in class com.imsl.math.ZeroPolynomial
Sets the maximum number of iterations allowed.
setMaxIterations(int) - Method in class com.imsl.stat.FactorAnalysis
Sets the maximum number of iterations in the iterative procedure.
setMaxIterations(int) - Method in class com.imsl.stat.ClusterKMeans
Sets the maximum number of iterations.
setMaxIterations(int) - Method in class com.imsl.stat.ARMA
Sets the maximum number of iterations.
setMaxSigma(double) - Method in class com.imsl.stat.GARCH
Sets the value of the upperbound on the first element (sigma) of the array of returned estimated coefficients.
setMaxStep(int) - Method in class com.imsl.stat.FactorAnalysis
Sets the maximum number of step halvings allowed during an iteration.
setMaxSteps(int) - Method in class com.imsl.math.OdeRungeKutta
Sets the maximum number of internal steps allowed.
setMaxSubintervals(int) - Method in class com.imsl.math.Quadrature
Sets the maximum number of subintervals allowed.
setMean(double) - Method in class com.imsl.stat.AutoCorrelation
Estimate mean of the time series x.
setMeanEstimate(double) - Method in class com.imsl.stat.ARMA
Sets an initial estimate of the mean of the time series z.
setMeanX(double) - Method in class com.imsl.stat.CrossCorrelation
Estimate of the mean of time series x.
setMeanX(double[]) - Method in class com.imsl.stat.MultiCrossCorrelation
Estimate of the mean of each channel of x.
setMeanY(double) - Method in class com.imsl.stat.CrossCorrelation
Estimate of the mean of time series y.
setMeanY(double[]) - Method in class com.imsl.stat.MultiCrossCorrelation
Estimate of the mean of each channel of y.
setMethod(int) - Method in class com.imsl.stat.ARMA
Sets the method to be used by the class.
setMinimumStepsize(double) - Method in class com.imsl.math.OdeRungeKutta
Sets the minimum internal step size.
setMissingValueMethod(int) - Method in class com.imsl.stat.Covariances
Sets the method used to exclude missing values in x from the computations, where Double.NaN is interpreted as the missing value code.
setModelOrder(int) - Method in class com.imsl.stat.ANOVAFactorial
Sets the number of factors to be included in the highest-way interaction in the model.
setMultiplier(int) - Method in class com.imsl.stat.Random
Sets the multiplier for a linear congruential random number generator.
setMultiplierError(double) - Method in class com.imsl.math.MinConNLP
Set the error allowed in the multipliers.
setName(String) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Name" attribute.
setNoColumnLabels() - Method in class com.imsl.math.PrintMatrixFormat
Turns off column labels.
setNode(ChartNode) - Method in class com.imsl.chart.DrawPick
Set the current ChartNode.
setNode(ChartNode) - Method in class com.imsl.chart.DrawMap
Set the current ChartNode.
setNode(ChartNode) - Method in class com.imsl.chart.PickEvent
Sets the ChartNode.
setNode(ChartNode) - Method in class com.imsl.chart.Draw
Set the current ChartNode.
setNoRowLabels() - Method in class com.imsl.math.PrintMatrixFormat
Turns off row labels.
setNotch(boolean) - Method in class com.imsl.chart.BoxPlot
Sets the attribute "Notch".
setNumber(int) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Number" attribute.
setNumberFormat(NumberFormat) - Method in class com.imsl.math.PrintMatrixFormat
Sets the NumberFormat to be used in formatting double and Complex entries.
setOffset(double) - Method in class com.imsl.chart.Text
Sets the offset.
setOpen(double[]) - Method in class com.imsl.chart.HighLowClose
Sets the attribute "Open".
setOrders(int[]) - Method in class com.imsl.stat.Difference
Sets the orders for the Difference object
setOut(PrintStream) - Method in class com.imsl.WarningObject
Reassigns the output stream.
setOut(PrintStream) - Static method in class com.imsl.Warning
Reassigns the output stream.
setPageWidth(int) - Method in class com.imsl.math.PrintMatrix
Sets the page width.
setPaint(boolean) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Paint" attribute.
setPenaltyBound(double) - Method in class com.imsl.math.MinConNLP
Set the universal bound for describing how much the unscaled penalty-term may deviate from zero.
setPercentage(double) - Method in class com.imsl.stat.SignTest
Sets the percentage percentile of the population.
setPercentile(double) - Method in class com.imsl.stat.SignTest
Sets the hypothesized percentile of the population.
setPrior(double[]) - Method in class com.imsl.stat.DiscriminantAnalysis
Sets the prior probabilities.
setPrior(int) - Method in class com.imsl.stat.DiscriminantAnalysis
Sets the type of prior probabilities to be computed.
setProportionalWidth(boolean) - Method in class com.imsl.chart.BoxPlot
Set the value of the attribute "ProportionalWidth".
setQ(double[][]) - Method in class com.imsl.stat.KalmanFilter
Sets the Q matrix.
setRadialFunction(RadialBasis.Function) - Method in class com.imsl.math.RadialBasis
Sets the radial function.
setRandom(Random) - Method in class com.imsl.stat.Ranks
Sets the Random object.
setRange(double, double) - Method in class com.imsl.stat.ChiSquaredTest
Sets endpoints of the range of the distribution.
setReference(double) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Reference" attribute.
setRelativeError(double) - Method in class com.imsl.math.ZeroSystem
Sets the relative error tolerance.
setRelativeError(double) - Method in class com.imsl.math.ZeroFunction
Sets second stopping criterion is the relative error.
setRelativeError(double) - Method in class com.imsl.math.HyperRectangleQuadrature
Sets the relative error tolerance.
setRelativeError(double) - Method in class com.imsl.math.Quadrature
Sets the relative error tolerance.
setRelativeError(double) - Method in class com.imsl.stat.ARMA
Sets the stopping criterion for use in the nonlinear equation solver.
setRelativeFcnTol(double) - Method in class com.imsl.math.BoundedLeastSquares
Sets the relative function tolerance.
setRelativeTolerance(double) - Method in class com.imsl.math.NonlinLeastSquares
Set the relative function tolerance.
setRelativeTolerance(double) - Method in class com.imsl.math.MinUnconMultiVar
Set the relative function tolerance.
setRule(int) - Method in class com.imsl.math.Quadrature
Set the Gauss-Kronrod rule.
setScale(double) - Method in class com.imsl.math.OdeRungeKutta
Sets the scaling factor.
setScaledStepTol(double) - Method in class com.imsl.math.BoundedLeastSquares
Sets the scaled step tolerance.
setScalingBound(double) - Method in class com.imsl.math.MinConNLP
Set the scaling bound for the internal automatic scaling of the objective function.
setScalingVector(double[]) - Method in class com.imsl.math.BoundedLeastSquares
Sets the scaling vector for the variables.
setScreenSize(Dimension) - Method in class com.imsl.chart.ChartNode
Sets the value of the "ScreenSize" attribute.
setSeed(long) - Method in class com.imsl.stat.Random
Sets the seed.
setSize(Dimension) - Method in class com.imsl.chart.JspBean
Sets the size of the generated image.
setSize(Dimension) - Method in class com.imsl.chart.ChartNode
Sets the value of the "Size" attribute.
setSize(int, int) - Method in class com.imsl.chart.JspBean
Sets the size of the generated image.