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JMSL^TM Numerical Library 5.0

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A

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.
AbstractChartNode - Class in com.imsl.chart: The base class of all of the nodes in both the 2D and 3D chart trees.
AbstractChartNode(AbstractChartNode) - Constructor for class com.imsl.chart.AbstractChartNode
AbstractFlatFile - Class in com.imsl.io: Reads a text or binary file as a ResultSet.
AbstractFlatFile() - Constructor for class com.imsl.io.AbstractFlatFile: Initializes an AbstractFlatFile.
AbstractFlatFile.FlatFileSQLException - Exception in com.imsl.io: A SQLException thrown by the AbstractFlatFile class.
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.
Activation - Interface in com.imsl.datamining.neural: Interface implemented by perceptron activation functions.
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(Complex, Complex, ComplexSparseMatrix, ComplexSparseMatrix) - Static method in class com.imsl.math.ComplexSparseMatrix: Performs element-wise addition of two complex sparse matrices A, B of type ComplexSparseMatrix,
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.
add(double, double, SparseMatrix, SparseMatrix) - Static method in class com.imsl.math.SparseMatrix: Performs element-wise addition of two real sparse matrices A, B of type SparseMatrix,
addCenterLine() - Method in class com.imsl.chart.qc.ShewhartControlChart: Adds the center line to the control chart and returns the newly added line.
addControlLimit() - Method in class com.imsl.chart.qc.ShewhartControlChart: Adds a control limit to the chart.
addCumulativeLine(AxisXY) - Method in class com.imsl.chart.qc.ParetoChart: Adds a cumulative line to the specified axis.
addCumulativeLine() - Method in class com.imsl.chart.qc.ParetoChart: Creates a new right-side axis and adds a cumulative line to it.
addDataMarkers() - Method in class com.imsl.chart.qc.CuSumStatus: Adds the original data to the chart on a newly created axis.
addDataMarkers(AxisXY) - Method in class com.imsl.chart.qc.CuSumStatus: Adds the original data to the chart.
addLegendItem(int, ChartNode) - Method in class com.imsl.chart.Chart: Adds a legend to this ChartNode.
addLowerControlLimit() - Method in class com.imsl.chart.qc.ShewhartControlChart: Creates lower ControlLimit, adds it to the control chart, and returns the newly created object.
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.
addPostRenderPaint(Canvas3DChart.Paint) - Method in class com.imsl.chart3d.Canvas3DChart: Adds a Paint object to draw to the canvas after the the 3D image is rendered.
addPreRenderPaint(Canvas3DChart.Paint) - Method in class com.imsl.chart3d.Canvas3DChart: Adds a Paint object to draw to the canvas before the the 3D image is rendered.
addToSceneGraph(Group) - Method in class com.imsl.chart3d.AmbientLight
addToSceneGraph(Group) - Method in class com.imsl.chart3d.Axis3D
addToSceneGraph(Group) - Method in class com.imsl.chart3d.AxisBox
addToSceneGraph(Group) - Method in class com.imsl.chart3d.AxisLabel
addToSceneGraph(Group) - Method in class com.imsl.chart3d.AxisLine
addToSceneGraph(Group) - Method in class com.imsl.chart3d.AxisTitle
addToSceneGraph(Group) - Method in class com.imsl.chart3d.AxisXYZ
addToSceneGraph(Group) - Method in class com.imsl.chart3d.Background
addToSceneGraph(Group) - Method in class com.imsl.chart3d.Chart3D
addToSceneGraph(Group) - Method in class com.imsl.chart3d.ChartLights
addToSceneGraph(Group) - Method in class com.imsl.chart3d.ChartNode3D: Called to add this object to the scene graph.
addToSceneGraph(Group) - Method in class com.imsl.chart3d.ColormapLegend
addToSceneGraph(Group) - Method in class com.imsl.chart3d.Data
addToSceneGraph(Group) - Method in class com.imsl.chart3d.DirectionalLight
addToSceneGraph(Group) - Method in class com.imsl.chart3d.MajorTick
addToSceneGraph(Group) - Method in class com.imsl.chart3d.PointLight
addToSceneGraph(Group) - Method in class com.imsl.chart3d.Surface
addUpperControlLimit() - Method in class com.imsl.chart.qc.ShewhartControlChart: Creates upper ControlLimit, adds it to the control chart, and returns the newly created object.
addWecoLimits() - Method in class com.imsl.chart.qc.ShewhartControlChart: Adds lines for the Western Electric Company Rules.
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
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.
AmbientLight - Class in com.imsl.chart3d: An ambient light.
AmbientLight(Chart3D) - Constructor for class com.imsl.chart3d.AmbientLight: Creates an ambient light.
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.
amultp(double[], double[]) - Method in interface com.imsl.math.ConjugateGradient.Function: A user-supplied function which computes z=Ap.
amultp(double[], double[]) - Method in interface com.imsl.math.GenMinRes.Function: Used to compute where A is the matrix of coefficients to solve and p and z are arrays of length n, the order of matrix A.
ANNUAL - Static variable in class com.imsl.finance.Bond: Coupon payments are made annually.
ANOVA - Class in com.imsl.stat: 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 in com.imsl.stat: Analyzes a balanced factorial design with fixed effects.
ANOVAFactorial(int, int[], double[]) - Constructor for class com.imsl.stat.ANOVAFactorial: Constructor for ANOVAFactorial.
AR_1 - Static variable in class com.imsl.stat.ARMAEstimateMissing: Indicates that missing values should be estimated using an autoregressive time series with 1 lag.
AR_P - Static variable in class com.imsl.stat.ARMAEstimateMissing: Indicates that missing values should be estimated using an autoregressive time series with a maximum lag of maxLag.
ARAutoUnivariate - Class in com.imsl.stat: Automatically determines the best autoregressive time series model using Akaike's Information Criterion.
ARAutoUnivariate(int, double[]) - Constructor for class com.imsl.stat.ARAutoUnivariate: ARAutoUnivariate constructor.
ARAutoUnivariate.Formatter - Class in com.imsl.stat: Simple formatter for ARAutoUnivariate logging
ARAutoUnivariate.Formatter() - Constructor for class com.imsl.stat.ARAutoUnivariate.Formatter
ARAutoUnivariate.TriangularMatrixSingularException - Exception in com.imsl.stat: The input triangular matrix is singular.
ARAutoUnivariate.TriangularMatrixSingularException(String) - Constructor for exception com.imsl.stat.ARAutoUnivariate.TriangularMatrixSingularException
ARAutoUnivariate.TriangularMatrixSingularException(String, Object[]) - Constructor for exception com.imsl.stat.ARAutoUnivariate.TriangularMatrixSingularException
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 in com.imsl.stat: 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 in com.imsl.stat: The problem is ill-conditioned.
ARMA.IllConditionedException(String) - Constructor for exception com.imsl.stat.ARMA.IllConditionedException: Constructs an IllConditionedException with the specified detail message.
ARMA.IllConditionedException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.IllConditionedException: Constructs an IllConditionedException with the specified detail message.
ARMA.IncreaseErrRelException - Exception in com.imsl.stat: The bound for the relative error is too small.
ARMA.IncreaseErrRelException(String) - Constructor for exception com.imsl.stat.ARMA.IncreaseErrRelException: Constructs an IncreaseErrRelException with the specified detail message.
ARMA.IncreaseErrRelException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.IncreaseErrRelException: Constructs an IncreaseErrRelException with the specified detail message.
ARMA.MatrixSingularException - Exception in com.imsl.stat: The input matrix is singular.
ARMA.MatrixSingularException(String) - Constructor for exception com.imsl.stat.ARMA.MatrixSingularException: Constructs an MatrixSingularException with the specified detail message.
ARMA.MatrixSingularException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.MatrixSingularException: Constructs an MatrixSingularException with the specified detail message.
ARMA.NewInitialGuessException - Exception in com.imsl.stat: The iteration has not made good progress.
ARMA.NewInitialGuessException(String) - Constructor for exception com.imsl.stat.ARMA.NewInitialGuessException: Constructs an NewInitialGuessException with the specified detail message.
ARMA.NewInitialGuessException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.NewInitialGuessException: Constructs an NewInitialGuessException with the specified detail message.
ARMA.TooManyCallsException - Exception in com.imsl.stat: The number of calls to the function has exceeded the maximum number of iterations times the number of moving average (MA) parameters + 1.
ARMA.TooManyCallsException(String) - Constructor for exception com.imsl.stat.ARMA.TooManyCallsException: Constructs an TooManyCallsException with the specified detail message.
ARMA.TooManyCallsException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.TooManyCallsException: Constructs an TooManyCallsException with the specified detail message.
ARMA.TooManyFcnEvalException - Exception in com.imsl.stat: Maximum number of function evaluations exceeded.
ARMA.TooManyFcnEvalException(String) - Constructor for exception com.imsl.stat.ARMA.TooManyFcnEvalException: Constructs an TooManyFcnEvalException with the specified detail message.
ARMA.TooManyFcnEvalException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.TooManyFcnEvalException: Constructs an TooManyFcnEvalException with the specified detail message.
ARMA.TooManyITNException - Exception in com.imsl.stat: Maximum number of iterations exceeded.
ARMA.TooManyITNException(String) - Constructor for exception com.imsl.stat.ARMA.TooManyITNException: Constructs an TooManyITNException with the specified detail message.
ARMA.TooManyITNException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.TooManyITNException
ARMA.TooManyJacobianEvalException - Exception in com.imsl.stat: Maximum number of Jacobian evaluations exceeded.
ARMA.TooManyJacobianEvalException(String) - Constructor for exception com.imsl.stat.ARMA.TooManyJacobianEvalException: Constructs an TooManyJacobianEvalException with the specified detail message.
ARMA.TooManyJacobianEvalException(String, Object[]) - Constructor for exception com.imsl.stat.ARMA.TooManyJacobianEvalException: Constructs an TooManyJacobianEvalException with the specified detail message.
ARMAEstimateMissing - Class in com.imsl.stat: Estimates missing values in a time series collected with equal spacing.
ARMAEstimateMissing(int[], double[]) - Constructor for class com.imsl.stat.ARMAEstimateMissing: Constructor for ARMAEstimateMissing.
ARMAMaxLikelihood - Class in com.imsl.stat: Computes maximum likelihood estimates of parameters for an ARMA model with p and q autoregressive and moving average terms respectively.
ARMAMaxLikelihood(int, int, double[]) - Constructor for class com.imsl.stat.ARMAMaxLikelihood: Constructor for ARMAMaxLikelihood.
ARMAMaxLikelihood.InitialMAException - Exception in com.imsl.stat: The initial values for the moving average parameters are not invertible.
ARMAMaxLikelihood.InitialMAException(String) - Constructor for exception com.imsl.stat.ARMAMaxLikelihood.InitialMAException: Constructs an InitialMAException with the specified detail message.
ARMAMaxLikelihood.InitialMAException(String, Object[]) - Constructor for exception com.imsl.stat.ARMAMaxLikelihood.InitialMAException: Constructs an InitialMAException with the specified detail message.
ARMAMaxLikelihood.NonInvertibleException - Exception in com.imsl.stat: The solution is noninvertible.
ARMAMaxLikelihood.NonInvertibleException(String) - Constructor for exception com.imsl.stat.ARMAMaxLikelihood.NonInvertibleException: Constructs a NonInvertible exception with the specified detail message.
ARMAMaxLikelihood.NonInvertibleException(String, Object[]) - Constructor for exception com.imsl.stat.ARMAMaxLikelihood.NonInvertibleException: Constructs a NonInvertibleException exception with the specified detail message.
ARMAMaxLikelihood.NonStationaryException - Exception in com.imsl.stat: The solution is nonstationary.
ARMAMaxLikelihood.NonStationaryException(String) - Constructor for exception com.imsl.stat.ARMAMaxLikelihood.NonStationaryException: Constructs a NonStationary exception with the specified detail message.
ARMAMaxLikelihood.NonStationaryException(String, Object[]) - Constructor for exception com.imsl.stat.ARMAMaxLikelihood.NonStationaryException: Constructs a NonStationary exception with the specified detail message.
ARSeasonalFit - Class in com.imsl.stat: Estimates the optimum seasonality parameters for a time series using an autoregressive model, AR(p), to represent the time series.
ARSeasonalFit(int, int[][], double[]) - Constructor for class com.imsl.stat.ARSeasonalFit: Constructor for ARSeasonalFit.
ascending(int[]) - Static method in class com.imsl.stat.Sort: Function to sort an integer array into ascending order.
ascending(int[], int[]) - Static method in class com.imsl.stat.Sort: Sort an integer array into ascending order and returns the permutation vector.
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 an array into ascending order and returns the permutation vector.
ascending(double[][], int) - Static method in class com.imsl.stat.Sort: Sort a matrix into ascending order by the first nkeys.
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 the first nkeys and returns the permutation vector.
ascending(double[][], int[], int[]) - Static method in class com.imsl.stat.Sort: Sort a matrix into ascending order by specified keys and returns the permutation vector.
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 in com.imsl.stat: 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 in com.imsl.stat: The problem is ill-conditioned.
AutoCorrelation.NonPosVariancesException(String) - Constructor for exception com.imsl.stat.AutoCorrelation.NonPosVariancesException: Constructs an NonPosVariancesException with the specified detail message.
AutoCorrelation.NonPosVariancesException(String, Object[]) - Constructor for exception com.imsl.stat.AutoCorrelation.NonPosVariancesException: Constructs an NonPosVariancesException with the specified detail message.
AUTOSCALE_DATA - Static variable in class com.imsl.chart.AbstractChartNode: Flag used to indicate that autoscaling is to be done by scanning the data nodes.
AUTOSCALE_DENSITY - Static variable in class com.imsl.chart.AbstractChartNode: Flag used to indicate that autoscaling is to adjust the "Density" attribute.
AUTOSCALE_NUMBER - Static variable in class com.imsl.chart.AbstractChartNode: Flag used to indicate that autoscaling is to adjust the "Number" attribute.
AUTOSCALE_OFF - Static variable in class com.imsl.chart.AbstractChartNode: Flag used to indicate that autoscaling is turned off.
AUTOSCALE_WINDOW - Static variable in class com.imsl.chart.AbstractChartNode: Flag used to indicate that autoscaling is to be done by using the "Window" attribute.
Axis - Class in com.imsl.chart: 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 in com.imsl.chart: An x-axis or a y-axis.
Axis3D - Class in com.imsl.chart3d: An x-axis, y-axis or a z-axis.
AXIS_TITLE_AT_END - Static variable in class com.imsl.chart3d.ChartNode3D: Value for attribute "AxisTitlePosition" indicating that the axis title should be placed at the end of the axis.
AXIS_TITLE_PARALLEL - Static variable in class com.imsl.chart3d.ChartNode3D: Value for attribute "AxisTitlePosition" indicating that the axis title should be placed parallel to the axis.
AXIS_X - Static variable in class com.imsl.chart.AbstractChartNode: 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.AbstractChartNode: 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_Z - Static variable in class com.imsl.chart.AbstractChartNode: Flag to indicate z-axis.
AxisBox - Class in com.imsl.chart3d: Box behind the axis.
AxisLabel - Class in com.imsl.chart: The labels on an axis.
AxisLabel - Class in com.imsl.chart3d: The labels on an axis.
AxisLine - Class in com.imsl.chart: The axis line.
AxisLine - Class in com.imsl.chart3d: The axis line.
AxisR - Class in com.imsl.chart: The R-axis in a polar plot.
AxisRLabel - Class in com.imsl.chart: The labels on an axis.
AxisRLine - Class in com.imsl.chart: The radius axis line in a polar plot.
AxisRMajorTick - Class in com.imsl.chart: The major tick marks for the radius axis in a polar plot.
AxisTheta - Class in com.imsl.chart: The angular axis in a polar plot.
AxisTitle - Class in com.imsl.chart: The title on an axis.
AxisTitle - Class in com.imsl.chart3d: Axis title.
AxisUnit - Class in com.imsl.chart: The unit title on an axis.
AxisXY - Class in com.imsl.chart: The axes for an x-y chart.
AxisXY(Chart) - Constructor for class com.imsl.chart.AxisXY: Create an AxisXY.
AxisXYZ - Class in com.imsl.chart3d: The axes for an x-y-z chart.
AxisXYZ(Chart3D) - Constructor for class com.imsl.chart3d.AxisXYZ: Create an AxisXYZ.

B

Background - Class in com.imsl.chart: The background of a chart.
Background - Class in com.imsl.chart3d: Background of the 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.
BACKWARD_REGRESSION - Static variable in class com.imsl.stat.StepwiseRegression: Indicates backward regression.
Bar - Class in com.imsl.chart: 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.
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.
BarItem - Class in com.imsl.chart: A single bar in a bar chart.
BarSet - Class in com.imsl.chart: A set of bars in a bar chart.
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.
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 in com.imsl.finance: 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: Used by method examineStep to indicate examining before the next step
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 getType method.
Bessel - Class in com.imsl.math: 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 cumulative probability distribution function.
betaIncomplete(double, double, double) - Static method in class com.imsl.math.Sfun: Returns the incomplete Beta function ratio.
betaMean(double, double) - Static method in class com.imsl.stat.Cdf: Evaluates the mean of the beta cumulative probability distribution function
betaProb(double, double, double) - Static method in class com.imsl.stat.Cdf: Evaluates the beta probability density function.
betaVariance(double, double) - Static method in class com.imsl.stat.Cdf: Evaluates the variance of the beta cumulative probability distribution function
BINARY_VARIABLE - Static variable in class com.imsl.io.MPSReader: Variable must be either 0 or 1.
BinaryClassification - Class in com.imsl.datamining.neural: Classifies patterns into two classes.
BinaryClassification(Network) - Constructor for class com.imsl.datamining.neural.BinaryClassification: Creates a binary classifier.
binomial(int, int, double) - Static method in class com.imsl.stat.Cdf: Evaluates the binomial cumulative probability distribution function.
binomialProb(int, int, double) - Static method in class com.imsl.stat.Cdf: Evaluates the binomial probability density function.
bivariateNormal(double, double, double) - Static method in class com.imsl.stat.Cdf: Evaluates the bivariate normal cumulative probability distribution function.
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.
Bond - Class in com.imsl.finance: Collection of bond functions.
Bond() - Constructor for class com.imsl.finance.Bond
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.
BoundedLeastSquares - Class in com.imsl.math: 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 in com.imsl.math: False convergence - The iterates appear to be converging to a noncritical point.
BoundedLeastSquares.FalseConvergenceException(String) - Constructor for exception com.imsl.math.BoundedLeastSquares.FalseConvergenceException: Constructs an FalseConvergenceException with the specified detail message.
BoundedLeastSquares.FalseConvergenceException(String, Object[]) - Constructor for exception com.imsl.math.BoundedLeastSquares.FalseConvergenceException: Constructs an FalseConvergenceException with the specified detail message.
BoundedLeastSquares.Function - Interface in com.imsl.math: Public interface for the user-supplied function to evaluate the function that defines the least-squares problem.
BoundedLeastSquares.Jacobian - Interface in com.imsl.math: Public interface for the user-supplied function to compute the Jacobian.
BoxPlot - Class in com.imsl.chart: 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 in com.imsl.chart: 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.
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.
breakPoint - Variable in class com.imsl.math.Spline: The breakpoint array of length n, where n is the number of piecewise polynomials.
BsInterpolate - Class in com.imsl.math: 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 in com.imsl.math: 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 in com.imsl.math: BSpline represents and evaluates univariate B-splines.
BSpline() - Constructor for class com.imsl.math.BSpline
BufferedPaint - Class in com.imsl.chart3d: A Paint object cached into an image.
BufferedPaint(Canvas3DChart.Paint, int, int, int, int, Component) - Constructor for class com.imsl.chart3d.BufferedPaint: The paint method in Canvas3DChart.Paint is written into an image of size width by height.
BW_LINEAR - Static variable in interface com.imsl.chart.Colormap: Black and white (grayscale) colormap.
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 in com.imsl.chart: 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 in com.imsl.chart: A candlestick for the up days or the down days.
Canvas3DChart - Class in com.imsl.chart3d: A canvas for rendering a 3D chart.
Canvas3DChart() - Constructor for class com.imsl.chart3d.Canvas3DChart: Creates a Canvas3DChart with a new Chart3D object.
Canvas3DChart(Chart3D) - Constructor for class com.imsl.chart3d.Canvas3DChart: Creates a Canvas3DChart with a given Chart3D object.
Canvas3DChart.Paint - Interface in com.imsl.chart3d: Interface for 2D drawing on the canvas before or after the the 3D image is drawn.
capabilityIndexCp(double, double) - Method in class com.imsl.chart.qc.XbarR: Returns the capability index
$c_p=frac{mathrm{USL}-mathrm{LSL}}{6sigma}$
capabilityIndexCp(double, double) - Method in class com.imsl.chart.qc.XbarS: Returns the capability index
$c_p=frac{mathrm{USL}-mathrm{LSL}}{6sigma}$
capabilityIndexCpk(double, double) - Method in class com.imsl.chart.qc.XbarR: Returns the capability index $c_{pk}$
$c_{pk}=minleft[frac{mathrm{USL}-bar{x}}{3sigma},frac{bar{x}-mathrm{LSL}}{3sigma}right]$
capabilityIndexCpk(double, double) - Method in class com.imsl.chart.qc.XbarS: Returns the capability index $c_{pk}$
$c_{pk}=minleft[frac{mathrm{USL}-bar{x}}{3sigma},frac{bar{x}-mathrm{LSL}}{3sigma}right]$
CategoricalGenLinModel - Class in com.imsl.stat: 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 in com.imsl.stat: The ClassificationVariable vector has not been initialized.
CategoricalGenLinModel.ClassificationVariableException() - Constructor for exception com.imsl.stat.CategoricalGenLinModel.ClassificationVariableException: Constructs a ClassificationVariableException.
CategoricalGenLinModel.ClassificationVariableLimitException - Exception in com.imsl.stat: The Classification Variable limit set by the user through setUpperBound has been exceeded.
CategoricalGenLinModel.ClassificationVariableLimitException(int) - Constructor for exception com.imsl.stat.CategoricalGenLinModel.ClassificationVariableLimitException: Constructs a ClassificationVariableLimitException.
CategoricalGenLinModel.ClassificationVariableValueException - Exception in com.imsl.stat: The number of distinct values for each Classification Variable must be greater than 1.
CategoricalGenLinModel.ClassificationVariableValueException(int, int) - Constructor for exception com.imsl.stat.CategoricalGenLinModel.ClassificationVariableValueException: Constructs a ClassificationVariableValueException.
CategoricalGenLinModel.DeleteObservationsException - Exception in com.imsl.stat: The number of observations to be deleted (set by setObservationMax) has grown too large.
CategoricalGenLinModel.DeleteObservationsException(int) - Constructor for exception com.imsl.stat.CategoricalGenLinModel.DeleteObservationsException: Constructs a DeleteObservationsException.
CChart - Class in com.imsl.chart.qc: CChart is a c-chart for monitoring the count of the number of defects when defects are rare.
CChart(AxisXY, int[]) - Constructor for class com.imsl.chart.qc.CChart: Creates a C-chart given the number of defects in a series of samples.
Cdf - Class in com.imsl.stat: Cumulative probability distribution functions, probability density functions, and their inverses.
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 in com.imsl.stat: 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.
CENTER_MEAN - Static variable in class com.imsl.stat.ARSeasonalFit: Indicates the transformed series should be centered using the average of the differenced series.
CENTER_MEDIAN - Static variable in class com.imsl.stat.ARSeasonalFit: Indicates the transformed series should be centered using the median of the differenced series.
Chart - Class in com.imsl.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.
chart - Variable in class com.imsl.chart.JPanelChart: The embedded chart.
Chart3D - Class in com.imsl.chart3d: Root node of a 3d chart tree.
Chart3D() - Constructor for class com.imsl.chart3d.Chart3D: Creates a new instance of Chart3D
ChartFunction - Interface in com.imsl.chart: An interface that allows a function to be plotted.
ChartLights - Class in com.imsl.chart3d: Default set of lights.
ChartNode - Class in com.imsl.chart: The base class of all of the nodes in the 2D chart tree.
ChartNode(ChartNode) - Constructor for class com.imsl.chart.ChartNode: Construct a ChartNode object.
ChartNode3D - Class in com.imsl.chart3d: The base class of all of the nodes in the 3D chart tree.
ChartNode3D(ChartNode3D) - Constructor for class com.imsl.chart3d.ChartNode3D: Construct a ChartNode3D object.
ChartServlet - Class in com.imsl.chart: The base class for chart servlets.
ChartServlet() - Constructor for class com.imsl.chart.ChartServlet
ChartSpline - Class in com.imsl.chart: 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 in com.imsl.chart: The main title of a chart.
ChartXML - Class in com.imsl.chart.xml: 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.
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(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() - Method in class com.imsl.math.ComplexSparseMatrix: Check that the matrix is square.
checkSquareMatrix(double[][]) - Static method in class com.imsl.math.Matrix: Check that the matrix is square.
checkSquareMatrix() - Method in class com.imsl.math.SparseMatrix: Check that the matrix is square.
chi(double, double) - Static method in class com.imsl.stat.Cdf: Evaluates the chi-squared cumulative probability distribution function.
chiMean(double) - Static method in class com.imsl.stat.Cdf: Evaluates the mean of the chi-squared cumulative probability distribution function
chiProb(double, double) - Static method in class com.imsl.stat.Cdf: Evaluates the chi-squared probability density function
ChiSquaredTest - Class in com.imsl.stat: 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 in com.imsl.stat: The iteration did not converge
ChiSquaredTest.DidNotConvergeException(String) - Constructor for exception com.imsl.stat.ChiSquaredTest.DidNotConvergeException
ChiSquaredTest.DidNotConvergeException(String, Object[]) - Constructor for exception com.imsl.stat.ChiSquaredTest.DidNotConvergeException
ChiSquaredTest.NoObservationsException - Exception in com.imsl.stat: There are no observations.
ChiSquaredTest.NoObservationsException(String, Object[]) - Constructor for exception com.imsl.stat.ChiSquaredTest.NoObservationsException
ChiSquaredTest.NotCDFException - Exception in com.imsl.stat: The function is not a Cumulative Distribution Function (CDF).
ChiSquaredTest.NotCDFException(String, Object[]) - Constructor for exception com.imsl.stat.ChiSquaredTest.NotCDFException
chiVariance(double) - Static method in class com.imsl.stat.Cdf: Evaluates the variance of the chi-squared cumulative probability distribution function
Cholesky - Class in com.imsl.math: 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 in com.imsl.math: The matrix is not symmetric, positive definite.
Cholesky.NotSPDException() - Constructor for exception com.imsl.math.Cholesky.NotSPDException
circle(int, int, int) - Method in class com.imsl.chart.DrawMap: Sets a circle as the target.
cleanup() - Method in class com.imsl.chart3d.Chart3D: Cleanup memory use and references used by the chart.
clearWarnings() - Method in class com.imsl.io.AbstractFlatFile: Clears all warnings reported on this ResultSet object.
clone(Map) - Method in class com.imsl.chart.AbstractChartNode: Returns a deep-copy clone of this node.
clone(Object, Map) - Method in class com.imsl.chart.AbstractChartNode: Returns a deep copy of an Object.
clone(Map, Map) - Method in class com.imsl.chart.AbstractChartNode: Returns a deep copy of a Hashtable.
clone(List, Map) - Method in class com.imsl.chart.AbstractChartNode: Returns a deep copy of a vector of ChartNode's.
clone() - Method in class com.imsl.chart.Chart: Returns a clone of the graphics tree.
clone(Map) - Method in class com.imsl.chart.Chart: Returns a clone of this node.
clone() - Method in class com.imsl.chart3d.BufferedPaint
clone() - Method in class com.imsl.chart3d.Chart3D: Returns a clone of the graphics tree.
clone(Map) - Method in class com.imsl.chart3d.Chart3D: Returns a clone of this node.
clone() - Method in class com.imsl.datamining.neural.LeastSquaresTrainer: Clones a copy of the trainer.
clone() - Method in class com.imsl.datamining.neural.QuasiNewtonTrainer: Clones a copy of the trainer.
clone() - Method in class com.imsl.math.DenseLP: Creates and returns a copy of this object.
clone() - Method in class com.imsl.stat.FaureSequence: Returns a copy of this object.
clone() - Method in class com.imsl.stat.MersenneTwister: Returns a clone of this object.
clone() - Method in class com.imsl.stat.MersenneTwister64: Returns a clone 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.
ClusterHierarchical - Class in com.imsl.stat: 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 in com.imsl.stat: Perform a K-means (centroid) cluster analysis.
ClusterKMeans(double[][], double[][]) - Constructor for class com.imsl.stat.ClusterKMeans: Constructor for ClusterKMeans.
ClusterKMeans.ClusterNoPointsException - Exception in com.imsl.stat: There is a cluster with no points
ClusterKMeans.ClusterNoPointsException(String) - Constructor for exception com.imsl.stat.ClusterKMeans.ClusterNoPointsException
ClusterKMeans.ClusterNoPointsException(String, Object[]) - Constructor for exception com.imsl.stat.ClusterKMeans.ClusterNoPointsException
ClusterKMeans.NoConvergenceException - Exception in com.imsl.stat: Convergence did not occur within the maximum number of iterations.
ClusterKMeans.NoConvergenceException(String) - Constructor for exception com.imsl.stat.ClusterKMeans.NoConvergenceException
ClusterKMeans.NoConvergenceException(String, Object[]) - Constructor for exception com.imsl.stat.ClusterKMeans.NoConvergenceException
ClusterKMeans.NonnegativeFreqException - Exception in com.imsl.stat: Frequencies must be nonnegative.
ClusterKMeans.NonnegativeFreqException(String) - Constructor for exception com.imsl.stat.ClusterKMeans.NonnegativeFreqException
ClusterKMeans.NonnegativeFreqException(String, Object[]) - Constructor for exception com.imsl.stat.ClusterKMeans.NonnegativeFreqException
ClusterKMeans.NonnegativeWeightException - Exception in com.imsl.stat: Weights must be nonnegative.
ClusterKMeans.NonnegativeWeightException(String) - Constructor for exception com.imsl.stat.ClusterKMeans.NonnegativeWeightException
ClusterKMeans.NonnegativeWeightException(String, Object[]) - Constructor for exception com.imsl.stat.ClusterKMeans.NonnegativeWeightException
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.
color(double, double, double) - Method in interface com.imsl.chart3d.ColorFunction
ColorFunction - Interface in com.imsl.chart3d: Interface to define value dependent colors.
Colormap - Interface in com.imsl.chart: Colormaps are mappings from the unit interval to Colors.
ColormapLegend - Class in com.imsl.chart3d: Adds a legend for a Colormap gradient to the background of the canvas.
ColormapLegend(Chart3D, Colormap, double[]) - Constructor for class com.imsl.chart3d.ColormapLegend: Creates a legend for a Colormap and adds it to the canvas.
ColormapLegend(Chart3D, Colormap, double, double) - Constructor for class com.imsl.chart3d.ColormapLegend
COLUMN_APPROXIMATE_MINIMUM_DEGREE - Static variable in class com.imsl.math.ComplexSuperLU: For column ordering, use column approximate minimum degree ordering.
COLUMN_APPROXIMATE_MINIMUM_DEGREE - Static variable in class com.imsl.math.