Uses of Package
com.imsl.math

Packages that use com.imsl.math

Package	Description
com.imsl	Utilities used by the library.
com.imsl.datamining	Data mining and machine learning.
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

Class	Description
Complex	Set of mathematical functions for complex numbers.

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

Class	Description
SingularMatrixException	The matrix is singular.

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

Class	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	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
Transport	Solves a Transportation problem.
Transport.SolutionMethod	Indicates which algorithm is used to solve the transportation problem.
Transport.TooManyIterationsException	Maximum number of iterations exceeded.
Transport.UnexpectedErrorException	An unexpected error occurred.
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	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	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	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	Description
MinUnconMultiVar.Function	Public interface for the user supplied function to the MinUnconMultiVar object.