Uses of Package
com.imsl.math

Packages that use com.imsl.math

Package	Description
com.imsl.datamining.neural	Neural networks.
com.imsl.math	Mathematical functions and algorithms.
com.imsl.stat	Statistical methods.
com.imsl.stat.distributions	Probability distributions and parameter estimation.
com.imsl.test.example.math	Math examples.
com.imsl.test.example.stat	Statistics examples.

Classes in com.imsl.math used by com.imsl.datamining.neural

Class and Description
MinUnconMultiVar.Function Public interface for the user supplied function to the MinUnconMultiVar object.
MinUnconMultiVar.Gradient Public interface for the user supplied gradient to the MinUnconMultiVar object.

Classes in com.imsl.math used by com.imsl.math

Class and Description
BoundedLeastSquares.FalseConvergenceException False convergence - The iterates appear to be converging to a noncritical point.
BoundedLeastSquares.Function Public interface for the user-supplied function to evaluate the function that defines the least-squares problem.
BoundedLeastSquares.Jacobian Public interface for the user-supplied function to compute the Jacobian.
BoundedVariableLeastSquares.TooManyIterException Maximum number of iterations exceeded.
BSpline BSpline represents and evaluates univariate B-splines.
Cholesky.NotSPDException The matrix is not symmetric, positive definite.
Complex Set of mathematical functions for complex numbers.
ComplexEigen Collection of complex Eigen System functions.
ComplexEigen.DidNotConvergeException The iteration did not converge.
ComplexMatrix.MatrixType Indicates which matrix type is used.
ComplexSparseCholesky.NotSPDException The matrix is not Hermitian, positive definite.
ComplexSparseCholesky.NumericFactor Data structures and functions for the numeric Cholesky factor.
ComplexSparseCholesky.SymbolicFactor Data structures and functions for the symbolic Cholesky factor.
ComplexSparseMatrix Sparse matrix of type Complex.
ComplexSparseMatrix.SparseArray The SparseArray class uses public fields to hold the data for a sparse matrix in the Java Sparse Array format.
ComplexSVD Singular Value Decomposition (SVD) of a rectangular matrix of type Complex.
ComplexSVD.DidNotConvergeException The iteration did not converge
ConjugateGradient.Function Public interface for the user supplied function to ConjugateGradient.
ConjugateGradient.NoConvergenceException The conjugate gradient method did not converge within the allowed maximum number of iterations.
ConjugateGradient.NotDefiniteAMatrixException The input matrix A is indefinite, that is the matrix is not positive or negative definite.
ConjugateGradient.NotDefiniteJacobiPreconditionerException The Jacobi preconditioner is not strictly positive or negative definite.
ConjugateGradient.NotDefinitePreconditionMatrixException The Precondition matrix is indefinite.
ConjugateGradient.SingularPreconditionMatrixException The Precondition matrix is singular.
CsShape.TooManyIterationsException Too many iterations.
DenseLP.AllConstraintsNotSatisfiedException All constraints are not satisfied.
DenseLP.BoundsInconsistentException The bounds given are inconsistent.
DenseLP.CyclingOccurringException The algorithm appears to be cycling.
DenseLP.MultipleSolutionsException The problem has multiple solutions giving essentially the same minimum.
DenseLP.NoAcceptablePivotException No acceptable pivot could be found.
DenseLP.NoConstraintsAvailableException The LP problem has no constraints.
DenseLP.ProblemUnboundedException The problem is unbounded.
DenseLP.ProblemVacuousException The problem is vacuous.
DenseLP.SomeConstraintsDiscardedException Some constraints were discarded because they were too linearly dependent on other active constraints.
Eigen.DidNotConvergeException The iteration did not converge
FeynmanKac.Boundaries Public interface for user supplied boundary coefficients and terminal condition the PDE must satisfy.
FeynmanKac.BoundaryInconsistentException The boundary conditions are inconsistent.
FeynmanKac.ConstraintsInconsistentException The constraints are inconsistent.
FeynmanKac.CorrectorConvergenceException Corrector failed to converge.
FeynmanKac.ErrorTestException Error test failure detected.
FeynmanKac.ForcingTerm Public interface for non-zero forcing term in the Feynman-Kac equation.
FeynmanKac.InitialConstraintsException The constraints at the initial point are inconsistent.
FeynmanKac.InitialData Public interface for adjustment of initial data or as an opportunity for output during the integration steps.
FeynmanKac.IterationMatrixSingularException Iteration matrix is singular.
FeynmanKac.PdeCoefficients Public interface for user supplied PDE coefficients in the Feynman-Kac PDE.
FeynmanKac.TcurrentTstopInconsistentException The end value for the integration in time, tout, is not consistent with the current time value, t.
FeynmanKac.TEqualsToutException The current integration point in time and the end point are equal.
FeynmanKac.TimeIntervalTooSmallException Distance between starting time point and end point for the integration is too small.
FeynmanKac.ToleranceTooSmallException Tolerance is too small.
FeynmanKac.TooManyIterationsException Too many iterations required by the DAE solver.
GenMinRes.Function Public interface for the user supplied function to GenMinRes.
GenMinRes.TooManyIterationsException Maximum number of iterations exceeded.
GenMinRes.VectorProducts Public interface for the user supplied function to the GenMinRes object used for the inner product when the Gram-Schmidt implementation is used.
HyperRectangleQuadrature.Function Public interface function for the HyperRectangleQuadrature class.
LinearProgramming.BoundsInconsistentException Deprecated.
LinearProgramming.NumericDifficultyException Deprecated.
LinearProgramming.ProblemInfeasibleException Deprecated.
LinearProgramming.ProblemUnboundedException Deprecated.
Matrix.MatrixType Indicates which matrix type is used.
MinConGenLin.ConstraintsInconsistentException The equality constraints are inconsistent.
MinConGenLin.ConstraintsNotSatisfiedException No vector x satisfies all of the constraints.
MinConGenLin.EqualityConstraintsException the variables are determined by the equality constraints.
MinConGenLin.Function Public interface for the user-supplied function to evaluate the function to be minimized.
MinConGenLin.VarBoundsInconsistentException The equality constraints and the bounds on the variables are found to be inconsistent.
MinConNLP.BadInitialGuessException Penalty function point infeasible for original problem.
MinConNLP.ConstraintEvaluationException Constraint evaluation returns an error with current point.
MinConNLP.Function Public interface for the user supplied function to the MinConNLP object.
MinConNLP.IllConditionedException Problem is singular or ill-conditioned.
MinConNLP.LimitingAccuracyException Limiting accuracy reached for a singular problem.
MinConNLP.LinearlyDependentGradientsException Working set gradients are linearly dependent.
MinConNLP.NoAcceptableStepsizeException No acceptable stepsize in [SIGMA,SIGLA].
MinConNLP.ObjectiveEvaluationException Objective evaluation returns an error with current point.
MinConNLP.PenaltyFunctionPointInfeasibleException Penalty function point infeasible.
MinConNLP.QPInfeasibleException QP problem seemingly infeasible.
MinConNLP.SingularException Problem is singular.
MinConNLP.TerminationCriteriaNotSatisfiedException Termination criteria are not satisfied.
MinConNLP.TooManyIterationsException Maximum number of iterations exceeded.
MinConNLP.WorkingSetSingularException Working set is singular in dual extended QP.
MinConNonlin.Function Deprecated. MinConNonlin has been replaced by MinConNLP.
MinConNonlin.LineSearchException Deprecated. MinConNonlin has been replaced by MinConNLP.
MinConNonlin.QPConstraintsException Deprecated. MinConNonlin has been replaced by MinConNLP.
MinConNonlin.TooManyIterationsException Deprecated. MinConNonlin has been replaced by MinConNLP.
MinConNonlin.UphillSearchCalcException Deprecated. MinConNonlin has been replaced by MinConNLP.
MinConNonlin.ZeroSearchDirectionException Deprecated. MinConNonlin has been replaced by MinConNLP.
MinUncon.Function Public interface for the user supplied function to the MinUncon object.
MinUnconMultiVar.FalseConvergenceException False convergence error; the iterates appear to be converging to a noncritical point.
MinUnconMultiVar.Function Public interface for the user supplied function to the MinUnconMultiVar object.
MinUnconMultiVar.Gradient Public interface for the user supplied gradient to the MinUnconMultiVar object.
MinUnconMultiVar.MaxIterationsException Maximum number of iterations exceeded.
MinUnconMultiVar.UnboundedBelowException Five consecutive steps of the maximum allowable stepsize have been taken, either the function is unbounded below, or has a finite asymptote in some direction or the maximum allowable step size is too small.
NelderMead.Function Public interface for the user-supplied function to evaluate the objective function of the minimization problem.
NonlinLeastSquares.Function Public interface for the user supplied function to the NonlinLeastSquares object.
NonlinLeastSquares.TooManyIterationsException Too many iterations.
NonNegativeLeastSquares.TooManyIterException Maximum number of iterations has been exceeded.
NonNegativeLeastSquares.TooMuchTimeException Maximum time allowed for solve is exceeded.
NumericalDerivatives.Function Public interface function.
ODE ODE represents and solves an initial-value problem for ordinary differential equations.
OdeAdamsGear.DidNotConvergeException The iteration did not converge within the maximum number of steps allowed (default 500).
OdeAdamsGear.Function Public interface for user supplied function to OdeAdamsGear object.
OdeAdamsGear.MaxFcnEvalsExceededException Maximum function evaluations exceeded.
OdeAdamsGear.SingularMatrixException The interpolation matrix is singular.
OdeAdamsGear.ToleranceTooSmallException Tolerance is too small or the problem is stiff.
OdeRungeKutta.DidNotConvergeException The iteration did not converge within the maximum number of steps allowed (default 500).
OdeRungeKutta.Function Public interface for user supplied function to OdeRungeKutta object.
OdeRungeKutta.ToleranceTooSmallException Tolerance is too small or the problem is stiff.
Physical Return the value of various mathematical and physical constants.
PrintMatrix Matrix printing utilities.
PrintMatrixFormat This class can be used to customize the actions of PrintMatrix.
QuadraticProgramming.InconsistentSystemException The system of constraints is inconsistent.
QuadraticProgramming.NoLPSolutionException No solution for the LP problem with h = 0 was found by DenseLP.
QuadraticProgramming.ProblemUnboundedException The objective value for the problem is unbounded.
QuadraticProgramming.SolutionNotFoundException A solution was not found.
Quadrature.Function Public interface function for the Quadrature class.
RadialBasis.Function Public interface for the user supplied function to the RadialBasis object.
SingularMatrixException The matrix is singular.
SparseCholesky.NotSPDException The matrix is not symmetric, positive definite.
SparseCholesky.NumericFactor The numeric Cholesky factorization of a matrix.
SparseCholesky.SymbolicFactor The symbolic Cholesky factorization of a matrix.
SparseLP.CholeskyFactorizationAccuracyException The Cholesky factorization failed because of accuracy problems.
SparseLP.DiagonalWeightMatrixException A diagonal element of the diagonal weight matrix is too small.
SparseLP.DualInfeasibleException The dual problem is infeasible.
SparseLP.IllegalBoundsException The lower bound is greater than the upper bound.
SparseLP.IncorrectlyActiveException One or more LP variables are falsely characterized by the internal presolver.
SparseLP.IncorrectlyEliminatedException One or more LP variables are falsely characterized by the internal presolver.
SparseLP.InitialSolutionInfeasibleException The initial solution for the one-row linear program is infeasible.
SparseLP.PrimalInfeasibleException The primal problem is infeasible.
SparseLP.PrimalUnboundedException The primal problem is unbounded.
SparseLP.ProblemUnboundedException The problem is unbounded.
SparseLP.TooManyIterationsException The maximum number of iterations has been exceeded.
SparseLP.ZeroColumnException A column of the constraint matrix has no entries.
SparseLP.ZeroRowException A row of the constraint matrix has no entries.
SparseMatrix Sparse matrix of type double.
SparseMatrix.SparseArray The SparseArray class uses public fields to hold the data for a sparse matrix in the Java Sparse Array format.
Spline Spline represents and evaluates univariate piecewise polynomial splines.
Spline2D Represents and evaluates tensor-product splines.
SVD.DidNotConvergeException The iteration did not converge
ZeroFunction.Function Deprecated. ZeroFunction has been replaced by ZerosFunction.
ZeroPolynomial.DidNotConvergeException The iteration did not converge
ZerosFunction.Function Public interface for the user supplied function to ZerosFunction.
ZeroSystem.DidNotConvergeException The iteration did not converge.
ZeroSystem.Function Public interface for user supplied function to ZeroSystem object.
ZeroSystem.ToleranceTooSmallException Tolerance too small
ZeroSystem.TooManyIterationsException Too many iterations.

Classes in com.imsl.math used by com.imsl.stat

Class and Description
Cholesky Cholesky factorization of a matrix of type double.
Cholesky.NotSPDException The matrix is not symmetric, positive definite.
SingularMatrixException The matrix is singular.
SVD.DidNotConvergeException The iteration did not converge
ZeroPolynomial.DidNotConvergeException The iteration did not converge

Classes in com.imsl.math used by com.imsl.stat.distributions

Class and Description
MinConNLP.BadInitialGuessException Penalty function point infeasible for original problem.
MinConNLP.ConstraintEvaluationException Constraint evaluation returns an error with current point.
MinConNLP.IllConditionedException Problem is singular or ill-conditioned.
MinConNLP.LimitingAccuracyException Limiting accuracy reached for a singular problem.
MinConNLP.LinearlyDependentGradientsException Working set gradients are linearly dependent.
MinConNLP.NoAcceptableStepsizeException No acceptable stepsize in [SIGMA,SIGLA].
MinConNLP.ObjectiveEvaluationException Objective evaluation returns an error with current point.
MinConNLP.PenaltyFunctionPointInfeasibleException Penalty function point infeasible.
MinConNLP.QPInfeasibleException QP problem seemingly infeasible.
MinConNLP.SingularException Problem is singular.
MinConNLP.TerminationCriteriaNotSatisfiedException Termination criteria are not satisfied.
MinConNLP.TooManyIterationsException Maximum number of iterations exceeded.
MinConNLP.WorkingSetSingularException Working set is singular in dual extended QP.
SingularMatrixException The matrix is singular.

Classes in com.imsl.math used by com.imsl.test.example.math

Class and Description
ComplexEigen.DidNotConvergeException The iteration did not converge.
ComplexSVD.DidNotConvergeException The iteration did not converge
ConjugateGradient.Function Public interface for the user supplied function to ConjugateGradient.
ConjugateGradient.Preconditioner Public interface for the user supplied function to ConjugateGradient used for preconditioning.
Eigen.DidNotConvergeException The iteration did not converge
GenMinRes.Function Public interface for the user supplied function to GenMinRes.
GenMinRes.Norm Public interface for the user supplied function to the GenMinRes object used for the norm \( \Vert X \Vert \) when the Gram-Schmidt implementation is used.
GenMinRes.Preconditioner Public interface for the user supplied function to GenMinRes used for preconditioning.
GenMinRes.VectorProducts Public interface for the user supplied function to the GenMinRes object used for the inner product when the Gram-Schmidt implementation is used.
MinConNLP.Function Public interface for the user supplied function to the MinConNLP object.
MinConNLP.Gradient Public interface for the user supplied function to compute the gradient for MinConNLP object.
MinUncon.Derivative Public interface for the user supplied function to the MinUncon object.
MinUncon.Function Public interface for the user supplied function to the MinUncon object.
NonlinLeastSquares.TooManyIterationsException Too many iterations.
NumericalDerivatives Compute the Jacobian matrix for a function \(f(y)\) with m components in n independent variables.
NumericalDerivatives.Function Public interface function.
PrintMatrixFormat This class can be used to customize the actions of PrintMatrix.
RadialBasis.Function Public interface for the user supplied function to the RadialBasis object.
SingularMatrixException The matrix is singular.
SparseCholesky.NotSPDException The matrix is not symmetric, positive definite.
SVD.DidNotConvergeException The iteration did not converge
ZeroPolynomial.DidNotConvergeException The iteration did not converge

Classes in com.imsl.math used by com.imsl.test.example.stat

Class and Description
MinUnconMultiVar.Function Public interface for the user supplied function to the MinUnconMultiVar object.