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

ADJUSTED_R_SQUARED_CRITERION - Static variable in class com.imsl.stat.SelectionRegression

Indicates (adjusted ) criterion regression.

AFTER_SUCCESSFUL_STEP - Static variable in class com.imsl.math.OdeRungeKutta

Used by method examineStep to indicate examining after a successful step

AFTER_UNSUCCESSFUL_STEP - Static variable in class com.imsl.math.OdeRungeKutta

Used by method examineStep to indicate examining after an unsuccessful step

ALPHA_FACTOR_ANALYSIS - Static variable in class com.imsl.stat.FactorAnalysis

Indicates alpha factor analysis.

ANNUAL - Static variable in class com.imsl.finance.Bond

Coupon payments are made annually.

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.

ARMA - class com.imsl.stat.ARMA.

Computes least-square estimates of parameters for an ARMA model.

ARMA(int, int, double[]) - Constructor for class com.imsl.stat.ARMA

Constructor for ARMA.

ARMA.IllConditionedException - exception com.imsl.stat.ARMA.IllConditionedException.

The problem is ill-conditioned.

ARMA.IllConditionedException(String) - Constructor for class com.imsl.stat.ARMA.IllConditionedException

Constructs an IllConditionedException with the specified detail message.

ARMA.IllConditionedException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.IllConditionedException

Constructs an IllConditionedException with the specified detail message.

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

Constructs an IncreaseErrRelException with the specified detail message.

ARMA.IncreaseErrRelException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.IncreaseErrRelException

Constructs an IncreaseErrRelException with the specified detail message.

ARMA.MatrixSingularException - exception com.imsl.stat.ARMA.MatrixSingularException.

The input matrix is singular.

ARMA.MatrixSingularException(String) - Constructor for class com.imsl.stat.ARMA.MatrixSingularException

Constructs an MatrixSingularException with the specified detail message.

ARMA.MatrixSingularException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.MatrixSingularException

Constructs an MatrixSingularException with the specified detail message.

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

Constructs an NewInitialGuessException with the specified detail message.

ARMA.NewInitialGuessException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.NewInitialGuessException

Constructs an NewInitialGuessException with the specified detail message.

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

Constructs an TooManyCallsException with the specified detail message.

ARMA.TooManyCallsException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyCallsException

Constructs an TooManyCallsException with the specified detail message.

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

Constructs an TooManyFcnEvalException with the specified detail message.

ARMA.TooManyFcnEvalException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyFcnEvalException

Constructs an TooManyFcnEvalException with the specified detail message.

ARMA.TooManyITNException - exception com.imsl.stat.ARMA.TooManyITNException.

Maximum number of iterations exceeded.

ARMA.TooManyITNException(String) - Constructor for class com.imsl.stat.ARMA.TooManyITNException

Constructs an TooManyITNException with the specified detail message.

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

Constructs an TooManyJacobianEvalException with the specified detail message.

ARMA.TooManyJacobianEvalException(String, Object[]) - Constructor for class com.imsl.stat.ARMA.TooManyJacobianEvalException

Constructs an TooManyJacobianEvalException with the specified detail message.

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.

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_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.

AbstractFlatFile - class com.imsl.io.AbstractFlatFile.

Reads a text or binary file as a ResultSet.

AbstractFlatFile() - Constructor for class com.imsl.io.AbstractFlatFile

Initializes an AbstractFlatFile.

AbstractFlatFile.FlatFileSQLException - exception com.imsl.io.AbstractFlatFile.FlatFileSQLException.

A SQLException thrown by the AbstractFlatFile class.

Activation - interface com.imsl.datamining.neural.Activation.

Interface implemented by perceptron activation functions.

AutoCorrelation - class com.imsl.stat.AutoCorrelation.

Computes the sample autocorrelation function of a stationary time series.

AutoCorrelation(double[], int) - Constructor for class com.imsl.stat.AutoCorrelation

Constructor to compute 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

Constructs an NonPosVariancesException with the specified detail message.

AutoCorrelation.NonPosVariancesException(String, Object[]) - Constructor for class com.imsl.stat.AutoCorrelation.NonPosVariancesException

Constructs an NonPosVariancesException with the specified detail message.

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(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.

abs(Complex) - Static method in class com.imsl.math.Complex

Returns the absolute value (modulus) of a Complex, |z|.

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.

abs(float) - Static method in class com.imsl.math.JMath

Returns the absolute value of a float.

abs(double) - Static method in class com.imsl.math.JMath

Returns the absolute value of a double.

absolute(int) - Method in class com.imsl.io.AbstractFlatFile

Moves the cursor to the given row number in this ResultSet object.

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.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, Complex) - Static method in class com.imsl.math.Complex

Returns the sum of a double and a Complex, x+y.

add(Complex[][], Complex[][]) - Static method in class com.imsl.math.ComplexMatrix

Add two rectangular Complex arrays, a + b.

add(double[][], double[][]) - Static method in class com.imsl.math.Matrix

Add two rectangular arrays, a + b.

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.

addNode(Node) - Method in class com.imsl.datamining.neural.Layer

Associates a Perceptron with this Layer.

addPickListener(PickListener) - Method in class com.imsl.chart.ChartNode

Adds a PickListener to this node.

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.

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.

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.

ascending(double[], int[]) - Static method in class com.imsl.stat.Sort

Sort an array into ascending order.

ascending(int[], int[]) - Static method in class com.imsl.stat.Sort

Sort an array into ascending order.

ascending(double[]) - 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.

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 an array 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.

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.

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.

B

BACKWARD_REGRESSION - Static variable in class com.imsl.stat.StepwiseRegression

Indicates backward regression.

BARTLETTS_FORMULA - Static variable in class com.imsl.stat.AutoCorrelation

Indicates standard error computation using Bartlett's formula.

BARTLETTS_FORMULA - Static variable in class com.imsl.stat.CrossCorrelation

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.

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.

BEFORE_STEP - Static variable in class com.imsl.math.OdeRungeKutta

Used by method examineStep to indicate examining before the next step

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.

BLUE - Static variable in interface com.imsl.chart.Colormap

Linear blue colormap.

BLUE_GREEN_RED_YELLOW - Static variable in interface com.imsl.chart.Colormap

Blue/green/red/yellow colormap.

BLUE_RED - Static variable in interface com.imsl.chart.Colormap

Blue/red colormap.

BLUE_WHITE - Static variable in interface com.imsl.chart.Colormap

Blue/white colormap.

BOUNDED_SCALING - Static variable in class com.imsl.datamining.neural.ScaleFilter

Flag to indicate bounded scaling.

BOUNDED_Z_SCORE_SCALING_MEAN_STDEV - Static variable in class com.imsl.datamining.neural.ScaleFilter

Flag to indicate bounded z-score scaling using the mean and standard deviation.

BOUNDED_Z_SCORE_SCALING_MEDIAN_MAD - Static variable in class com.imsl.datamining.neural.ScaleFilter

Flag to indicate bounded z-score scaling using the median and mean absolute difference.

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.

BSpline - class com.imsl.math.BSpline.

BSpline represents and evaluates univariate B-splines.

BSpline() - Constructor for class com.imsl.math.BSpline

BW_LINEAR - Static variable in interface com.imsl.chart.Colormap

Black and white (grayscale) colormap.

Background - class com.imsl.chart.Background.

The background of a chart.

Bar - class com.imsl.chart.Bar.

A 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[], double[]) - Constructor for class com.imsl.chart.Bar

Constructs a simple bar chart using supplied x and 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[], 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 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.

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.

Bessel - class com.imsl.math.Bessel.

Collection of Bessel functions.

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(BoundedLeastSquares.Function, int, int, int, double[], double[]) - Constructor for class com.imsl.math.BoundedLeastSquares

Constructor for BoundedLeastSquares.

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

Constructs an FalseConvergenceException with the specified detail message.

BoundedLeastSquares.FalseConvergenceException(String, Object[]) - Constructor for class com.imsl.math.BoundedLeastSquares.FalseConvergenceException

Constructs an FalseConvergenceException with the specified detail message.

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.

BoxPlot - class com.imsl.chart.BoxPlot.

Draws a multiple-group Box plot.

BoxPlot(AxisXY, double[], double[][]) - Constructor for class com.imsl.chart.BoxPlot

Constructs a box plot chart node with specified x values.

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[][]) - Constructor for class com.imsl.chart.BoxPlot

Constructs a box plot chart.

BoxPlot.Statistics - class com.imsl.chart.BoxPlot.Statistics.

Computes the statistics for one set of observations in a Boxplot.

BoxPlot.Statistics(double[]) - Constructor for class com.imsl.chart.BoxPlot.Statistics

Creates a new instance of BoxPlot.Statistics.

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.

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.

basis(int, double) - Method in interface com.imsl.stat.RegressionBasis

Public interface for the nonlinear least-squares function.

beforeFirst() - Method in class com.imsl.io.AbstractFlatFile

Moves the cursor to the front of this ResultSet object, just before the first row.

beginGet() - Method in class com.imsl.io.AbstractFlatFile

This method should be called at the start of every getType method.

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

Evaluates the binomial probability function.

breakPoint - Variable in class com.imsl.math.Spline

The breakpoint array of length n, where n is the number of piecewise polynomials.

byteValue() - Method in class com.imsl.math.Complex

Returns the value of the real part as a byte.

C

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.

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.Covariances

Indicates correlation matrix.

CORRELATION_MATRIX - Static variable in class com.imsl.stat.FactorAnalysis

Indicates correlation matrix.

CURRENT - Static variable in class com.imsl.math.Physical

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.

CategoricalGenLinModel - class com.imsl.stat.CategoricalGenLinModel.

Analyzes categorical data using logistic, probit, Poisson, and other linear models.

CategoricalGenLinModel(double[][], int) - Constructor for class com.imsl.stat.CategoricalGenLinModel

Constructs a new CategoricalGenLinModel.

CategoricalGenLinModel.ClassificationVariableException - exception com.imsl.stat.CategoricalGenLinModel.ClassificationVariableException.

The ClassificationVariable vector has not been initialized.

CategoricalGenLinModel.ClassificationVariableException() - Constructor for class com.imsl.stat.CategoricalGenLinModel.ClassificationVariableException

Constructs a ClassificationVariableException.

CategoricalGenLinModel.ClassificationVariableLimitException - exception com.imsl.stat.CategoricalGenLinModel.ClassificationVariableLimitException.

The Classification Variable limit set by the user through setUpperBound has been exceeded.

CategoricalGenLinModel.ClassificationVariableLimitException(int) - Constructor for class com.imsl.stat.CategoricalGenLinModel.ClassificationVariableLimitException

Constructs a ClassificationVariableLimitException.

CategoricalGenLinModel.ClassificationVariableValueException - exception com.imsl.stat.CategoricalGenLinModel.ClassificationVariableValueException.

The number of distinct values for each Classification Variable must be greater than 1.

CategoricalGenLinModel.ClassificationVariableValueException(int, int) - Constructor for class com.imsl.stat.CategoricalGenLinModel.ClassificationVariableValueException

Constructs a ClassificationVariableValueException.

CategoricalGenLinModel.DeleteObservationsException - exception com.imsl.stat.CategoricalGenLinModel.DeleteObservationsException.

The number of observations to be deleted (set by setObservationMax) has grown too large.

CategoricalGenLinModel.DeleteObservationsException(int) - Constructor for class com.imsl.stat.CategoricalGenLinModel.DeleteObservationsException

Constructs a DeleteObservationsException.

Cdf - class com.imsl.stat.Cdf.

Cumulative distribution functions.

CdfFunction - interface com.imsl.stat.CdfFunction.

Public interface for the user-supplied cumulative distribution function to be used by InverseCdf and ChiSquaredTest.

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(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.

ChartXML(InputSource, boolean) - Constructor for class com.imsl.chart.xml.ChartXML

Creates a ChartXML from an XML source.

ChartXML(Document) - Constructor for class com.imsl.chart.xml.ChartXML

Creates a ChartXML from a DOM tree.

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

Deprecated. Check that all of the rows in the matrix have the same length.

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

Deprecated. Check that the matrix is square.

ChiSquaredTest - class com.imsl.stat.ChiSquaredTest.

Chi-squared goodness-of-fit test.

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.

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

Cholesky - class com.imsl.math.Cholesky.

Cholesky factorization of a matrix of type double.

Cholesky(double[][]) - Constructor for class com.imsl.math.Cholesky

Create the Cholesky factorization of a symmetric positive definite 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

ClusterHierarchical - class com.imsl.stat.ClusterHierarchical.

Performs a hierarchical cluster analysis from a distance matrix.

ClusterHierarchical(double[][], int, int) - Constructor for class com.imsl.stat.ClusterHierarchical

Constructor for ClusterHierarchical.

ClusterKMeans - class com.imsl.stat.ClusterKMeans.

Perform a K-means (centroid) cluster analysis.

ClusterKMeans(double[][], double[][]) - Constructor for class com.imsl.stat.ClusterKMeans

Constructor for ClusterKMeans.

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

Colormap - interface com.imsl.chart.Colormap.

Colormaps are mappings from the unit interval to Colors.

Complex - class com.imsl.math.Complex.

Set of mathematical functions for complex numbers.

Complex(Complex) - Constructor for class com.imsl.math.Complex

Constructs a Complex equal to the argument.

Complex(double, double) - Constructor for class com.imsl.math.Complex

Constructs a Complex with real and imaginary parts given by the input arguments.

Complex(double) - Constructor for class com.imsl.math.Complex

Constructs a Complex with a zero imaginary part.

Complex() - Constructor for class com.imsl.math.Complex

Constructs a Complex equal to zero.

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.

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(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[][]) - Constructor for class com.imsl.chart.Contour

Create a Contour chart from rectangularly gridded data with computed contour levels.

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[], double[], int) - Constructor for class com.imsl.chart.Contour

Create a Contour chart from scattered data.

Contour.Legend - class com.imsl.chart.Contour.Legend.

A legend for a contour chart.

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.

Covariances - class com.imsl.stat.Covariances.

Computes the sample variance-covariance or correlation matrix.

Covariances(double[][]) - Constructor for class com.imsl.stat.Covariances

Constructor for Covariances.

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

CrossCorrelation - class com.imsl.stat.CrossCorrelation.

Computes the sample cross-correlation function of two stationary time series.

CrossCorrelation(double[], double[], int) - Constructor for class com.imsl.stat.CrossCorrelation

Constructor to compute 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

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(double[], double[]) - Constructor for class com.imsl.math.CsShape

Construct a cubic spline interpolant which is 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(String, Object[]) - Constructor for class com.imsl.math.CsShape.TooManyIterationsException

CsShape.TooManyIterationsException(Object[]) - Constructor for class com.imsl.math.CsShape.TooManyIterationsException

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.

cancelRowUpdates() - Method in class com.imsl.io.AbstractFlatFile

Cancels the updates made to the current row in this ResultSet object.

cdf(double) - Method in interface com.imsl.stat.CdfFunction

Public interface for the user-supplied cumulative distribution function to be used by InverseCdf.

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.

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.

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(double[][]) - Static method in class com.imsl.math.Matrix

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(double[][]) - Static method in class com.imsl.math.Matrix

Check that the matrix is square.

checkerboard(int, Color, Color) - Static method in class com.imsl.chart.FillPaint

Returns a checkerboard pattern.

chi(double, double) - Static method in class com.imsl.stat.Cdf

Evaluates the chi-squared distribution function.

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(Object, Hashtable) - Method in class com.imsl.chart.ChartNode

Returns a deep copy of an Object.

clone(Hashtable, Hashtable) - Method in class com.imsl.chart.ChartNode

Returns a deep copy of a Hashtable.

clone(Vector, Hashtable) - Method in class com.imsl.chart.ChartNode

Returns a deep copy of a vector of ChartNode's.

clone() - Method in class com.imsl.math.LinearProgramming

Creates and returns a copy of this object.

clone() - Method in class com.imsl.stat.FaureSequence

Returns a copy of this object.

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.

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.

color(double) - Method in interface com.imsl.chart.Colormap

Maps the parameterization interval [0,1] into Colors.

com.imsl - package com.imsl

com.imsl.chart - package com.imsl.chart

com.imsl.chart.xml - package com.imsl.chart.xml

com.imsl.datamining.neural - package com.imsl.datamining.neural

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(Object) - Method in class com.imsl.math.Complex

Compares this Complex to another Object.

compareTo(Complex) - Method in class com.imsl.math.Complex

Compares two Complex objects.

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() - 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() - Method in class com.imsl.stat.ClusterKMeans

Computes the cluster means.

compute(int) - Method in class com.imsl.stat.Covariances

Computes the matrix.

compute(double[], int[]) - Method in class com.imsl.stat.Difference

Computes a Difference series.

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.MultipleComparisons

Performs Student-Newman-Keuls multiple comparisons test.

compute(double[][], double[]) - Method in class com.imsl.stat.SelectionRegression

Computes the best multiple linear regression models.

compute(double[][], double[], double[]) - Method in class com.imsl.stat.SelectionRegression

Computes the best weighted multiple linear regression models.

compute(double[][], double[], double[], double[]) - Method in class com.imsl.stat.SelectionRegression

Computes the best weighted multiple linear regression models using frequencies for each observation.

compute(double[][], int) - Method in class com.imsl.stat.SelectionRegression

Computes the best multiple linear regression models using a user-supplied covariance matrix.

compute() - Method in class com.imsl.stat.SignTest

Performs a sign test.

compute() - Method in class com.imsl.stat.StepwiseRegression

Builds the multiple linear regression models using forward selection, backward selection, or stepwise selection.

compute() - Method in class com.imsl.stat.WilcoxonRankSum

Performs a Wilcoxon rank sum test.

computeLags(int[], int[], double[]) - Method in class com.imsl.datamining.neural.TimeSeriesClassFilter

Computes lags of an array sorted first by class designations and then descending chronological order.

computeLags(int, double[][]) - Method in class com.imsl.datamining.neural.TimeSeriesFilter

Lags time series data to a format used for input to a neural network.

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(double[]) - Method in class com.imsl.math.ZeroPolynomial

Computes the roots of the polynomial with real coefficients.

computeRoots(Complex[]) - Method in class com.imsl.math.ZeroPolynomial

Computes the roots of the polynomial with Complex coefficients.

computeStatistics(double[][], double[][]) - Method in class com.imsl.datamining.neural.Network

Computes error statistics.

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.