Uses of Class
com.imsl.IMSLException

Packages that use IMSLException

Package	Description
com.imsl.datamining	Data mining and machine learning.
com.imsl.datamining.decisionTree	Decision trees.
com.imsl.datamining.supportvectormachine	Support vector machines.
com.imsl.io	Methods for reading files.
com.imsl.math	Mathematical functions and algorithms.
com.imsl.stat	Statistical methods.
com.imsl.test.example.math	Math examples.
com.imsl.test.example.stat	Statistics examples.

Uses of IMSLException in com.imsl.datamining

Subclasses of IMSLException in com.imsl.datamining

Modifier and Type	Class and Description
static class	PredictiveModel.CloneNotSupportedException Wraps the java.lang.CloneNotSupportedException to indicate that the clone method in class Object has been called to clone an object, but that the object's class does not implement the Cloneable interface.
static class	PredictiveModel.PredictiveModelException An exception class intended to be the parent of all nested Exception classes where the enclosing class extends PredictiveModel.
static class	PredictiveModel.StateChangeException Exception thrown when an input parameter has changed that might affect the model estimates or predictions.
static class	PredictiveModel.SumOfProbabilitiesNotOneException Exception thrown when the sum of probabilities is not approximately one.

Uses of IMSLException in com.imsl.datamining.decisionTree

Subclasses of IMSLException in com.imsl.datamining.decisionTree

Modifier and Type	Class and Description
static class	DecisionTree.MaxTreeSizeExceededException Exception thrown when the maximum tree size has been exceeded.
static class	DecisionTree.PruningFailedToConvergeException Exception thrown when pruning fails to converge.
static class	DecisionTree.PureNodeException Exception thrown when attempting to split a node that is already pure (response variable is constant).
static class	RandomTrees.ReflectiveOperationException Class that wraps exceptions thrown by reflective operations in core reflection.

Uses of IMSLException in com.imsl.datamining.supportvectormachine

Subclasses of IMSLException in com.imsl.datamining.supportvectormachine

Modifier and Type	Class and Description
static class	SupportVectorMachine.ReflectiveOperationException Class that wraps exceptions thrown by reflective operations in core reflection.

Uses of IMSLException in com.imsl.io

Subclasses of IMSLException in com.imsl.io

Modifier and Type	Class and Description
static class	MPSReader.InvalidMPSFileException The MPS file is invalid.

Uses of IMSLException in com.imsl.math

Subclasses of IMSLException in com.imsl.math

Modifier and Type	Class and Description
static class	BoundedLeastSquares.FalseConvergenceException False convergence - The iterates appear to be converging to a noncritical point.
static class	BoundedVariableLeastSquares.TooManyIterException Maximum number of iterations exceeded.
static class	Cholesky.NotSPDException The matrix is not symmetric, positive definite.
static class	ComplexEigen.DidNotConvergeException The iteration did not converge.
static class	ComplexSparseCholesky.NotSPDException The matrix is not Hermitian, positive definite.
static class	ComplexSVD.DidNotConvergeException The iteration did not converge
static class	ConjugateGradient.NoConvergenceException The conjugate gradient method did not converge within the allowed maximum number of iterations.
static class	ConjugateGradient.NotDefiniteAMatrixException The input matrix A is indefinite, that is the matrix is not positive or negative definite.
static class	ConjugateGradient.NotDefiniteJacobiPreconditionerException The Jacobi preconditioner is not strictly positive or negative definite.
static class	ConjugateGradient.NotDefinitePreconditionMatrixException The Precondition matrix is indefinite.
static class	ConjugateGradient.SingularPreconditionMatrixException The Precondition matrix is singular.
static class	CsShape.TooManyIterationsException Too many iterations.
static class	DenseLP.AllConstraintsNotSatisfiedException All constraints are not satisfied.
static class	DenseLP.BoundsInconsistentException The bounds given are inconsistent.
static class	DenseLP.CyclingOccurringException The algorithm appears to be cycling.
static class	DenseLP.MultipleSolutionsException The problem has multiple solutions giving essentially the same minimum.
static class	DenseLP.NoAcceptablePivotException No acceptable pivot could be found.
static class	DenseLP.NoConstraintsAvailableException The LP problem has no constraints.
static class	DenseLP.ProblemUnboundedException The problem is unbounded.
static class	DenseLP.ProblemVacuousException The problem is vacuous.
static class	DenseLP.SomeConstraintsDiscardedException Some constraints were discarded because they were too linearly dependent on other active constraints.
static class	DenseLP.WrongConstraintTypeException Deprecated. No longer used, replaced with an IllegalArgumentException.
static class	Eigen.DidNotConvergeException The iteration did not converge
static class	FeynmanKac.BoundaryInconsistentException The boundary conditions are inconsistent.
static class	FeynmanKac.ConstraintsInconsistentException The constraints are inconsistent.
static class	FeynmanKac.CorrectorConvergenceException Corrector failed to converge.
static class	FeynmanKac.ErrorTestException Error test failure detected.
static class	FeynmanKac.InitialConstraintsException The constraints at the initial point are inconsistent.
static class	FeynmanKac.IterationMatrixSingularException Iteration matrix is singular.
static class	FeynmanKac.TcurrentTstopInconsistentException The end value for the integration in time, tout, is not consistent with the current time value, t.
static class	FeynmanKac.TEqualsToutException The current integration point in time and the end point are equal.
static class	FeynmanKac.TimeIntervalTooSmallException Distance between starting time point and end point for the integration is too small.
static class	FeynmanKac.ToleranceTooSmallException Tolerance is too small.
static class	FeynmanKac.TooManyIterationsException Too many iterations required by the DAE solver.
static class	GenMinRes.TooManyIterationsException Maximum number of iterations exceeded.
static class	LinearProgramming.BoundsInconsistentException Deprecated.
static class	LinearProgramming.NumericDifficultyException Deprecated.
static class	LinearProgramming.ProblemInfeasibleException Deprecated.
static class	LinearProgramming.ProblemUnboundedException Deprecated.
static class	LinearProgramming.WrongConstraintTypeException Deprecated. No longer used, replaced with an IllegalArgumentException.
static class	MinConGenLin.ConstraintsInconsistentException The equality constraints are inconsistent.
static class	MinConGenLin.ConstraintsNotSatisfiedException No vector x satisfies all of the constraints.
static class	MinConGenLin.EqualityConstraintsException the variables are determined by the equality constraints.
static class	MinConGenLin.VarBoundsInconsistentException The equality constraints and the bounds on the variables are found to be inconsistent.
static class	MinConNLP.BadInitialGuessException Penalty function point infeasible for original problem.
static class	MinConNLP.ConstraintEvaluationException Constraint evaluation returns an error with current point.
static class	MinConNLP.IllConditionedException Problem is singular or ill-conditioned.
static class	MinConNLP.LimitingAccuracyException Limiting accuracy reached for a singular problem.
static class	MinConNLP.LinearlyDependentGradientsException Working set gradients are linearly dependent.
static class	MinConNLP.NoAcceptableStepsizeException No acceptable stepsize in [SIGMA,SIGLA].
static class	MinConNLP.ObjectiveEvaluationException Objective evaluation returns an error with current point.
static class	MinConNLP.PenaltyFunctionPointInfeasibleException Penalty function point infeasible.
static class	MinConNLP.QPInfeasibleException QP problem seemingly infeasible.
static class	MinConNLP.SingularException Problem is singular.
static class	MinConNLP.TerminationCriteriaNotSatisfiedException Termination criteria are not satisfied.
static class	MinConNLP.TooManyIterationsException Maximum number of iterations exceeded.
static class	MinConNLP.TooMuchTimeException Maximum time allowed for solve exceeded.
static class	MinConNLP.WorkingSetSingularException Working set is singular in dual extended QP.
static class	MinConNonlin.LineSearchException Deprecated. MinConNonlin has been replaced by MinConNLP.
static class	MinConNonlin.QPConstraintsException Deprecated. MinConNonlin has been replaced by MinConNLP.
static class	MinConNonlin.TooManyIterationsException Deprecated. MinConNonlin has been replaced by MinConNLP.
static class	MinConNonlin.UphillSearchCalcException Deprecated. MinConNonlin has been replaced by MinConNLP.
static class	MinConNonlin.ZeroSearchDirectionException Deprecated. MinConNonlin has been replaced by MinConNLP.
static class	MinUnconMultiVar.ApproximateMinimumException Scaled step tolerance satisfied; the current point may be an approximate local solution, or the algorithm is making very slow progress and is not near a solution, or the scaled step tolerance is too big.
static class	MinUnconMultiVar.FalseConvergenceException False convergence error; the iterates appear to be converging to a noncritical point.
static class	MinUnconMultiVar.MaxIterationsException Maximum number of iterations exceeded.
static class	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.
static class	NonlinLeastSquares.TooManyIterationsException Too many iterations.
static class	NonNegativeLeastSquares.TooManyIterException Maximum number of iterations has been exceeded.
static class	NonNegativeLeastSquares.TooMuchTimeException Maximum time allowed for solve is exceeded.
static class	OdeAdamsGear.DidNotConvergeException The iteration did not converge within the maximum number of steps allowed (default 500).
static class	OdeAdamsGear.MaxFcnEvalsExceededException Maximum function evaluations exceeded.
static class	OdeAdamsGear.SingularMatrixException The interpolation matrix is singular.
static class	OdeAdamsGear.ToleranceTooSmallException Tolerance is too small or the problem is stiff.
static class	OdeRungeKutta.DidNotConvergeException The iteration did not converge within the maximum number of steps allowed (default 500).
static class	OdeRungeKutta.ToleranceTooSmallException Tolerance is too small or the problem is stiff.
static class	QuadraticProgramming.InconsistentSystemException The system of constraints is inconsistent.
static class	QuadraticProgramming.NoLPSolutionException No solution for the LP problem with h = 0 was found by DenseLP.
static class	QuadraticProgramming.ProblemUnboundedException The objective value for the problem is unbounded.
static class	QuadraticProgramming.SolutionNotFoundException A solution was not found.
class	SingularMatrixException The matrix is singular.
static class	SparseCholesky.NotSPDException The matrix is not symmetric, positive definite.
static class	SparseLP.CholeskyFactorizationAccuracyException The Cholesky factorization failed because of accuracy problems.
static class	SparseLP.DiagonalWeightMatrixException A diagonal element of the diagonal weight matrix is too small.
static class	SparseLP.DualInfeasibleException The dual problem is infeasible.
static class	SparseLP.IllegalBoundsException The lower bound is greater than the upper bound.
static class	SparseLP.IncorrectlyActiveException One or more LP variables are falsely characterized by the internal presolver.
static class	SparseLP.IncorrectlyEliminatedException One or more LP variables are falsely characterized by the internal presolver.
static class	SparseLP.InitialSolutionInfeasibleException The initial solution for the one-row linear program is infeasible.
static class	SparseLP.PrimalInfeasibleException The primal problem is infeasible.
static class	SparseLP.PrimalUnboundedException The primal problem is unbounded.
static class	SparseLP.ProblemUnboundedException The problem is unbounded.
static class	SparseLP.TooManyIterationsException The maximum number of iterations has been exceeded.
static class	SparseLP.ZeroColumnException A column of the constraint matrix has no entries.
static class	SparseLP.ZeroRowException A row of the constraint matrix has no entries.
static class	SVD.DidNotConvergeException The iteration did not converge
static class	ZeroPolynomial.DidNotConvergeException The iteration did not converge
static class	ZeroSystem.DidNotConvergeException The iteration did not converge.
static class	ZeroSystem.ToleranceTooSmallException Tolerance too small
static class	ZeroSystem.TooManyIterationsException Too many iterations.

Uses of IMSLException in com.imsl.stat

Subclasses of IMSLException in com.imsl.stat

Modifier and Type	Class and Description
static class	ARAutoUnivariate.TriangularMatrixSingularException The input triangular matrix is singular.
static class	ARMA.IllConditionedException The problem is ill-conditioned.
static class	ARMA.IncreaseErrRelException The bound for the relative error is too small.
static class	ARMA.MatrixSingularException The input matrix is singular.
static class	ARMA.NewInitialGuessException The iteration has not made good progress.
static class	ARMA.ResidualsTooLargeException The residuals have become too large in one step of the Least Squares estimation of the ARMA coefficients.
static class	ARMA.TooManyCallsException The number of calls to the function has exceeded the maximum number of iterations times the number of moving average (MA) parameters + 1.
static class	ARMA.TooManyFcnEvalException Maximum number of function evaluations exceeded.
static class	ARMA.TooManyITNException Maximum number of iterations exceeded.
static class	ARMA.TooManyJacobianEvalException Maximum number of Jacobian evaluations exceeded.
static class	ARMAMaxLikelihood.NonInvertibleException The solution is noninvertible.
static class	ARMAMaxLikelihood.NonStationaryException The solution is nonstationary.
static class	AutoARIMA.NoAcceptableModelFoundException No appropriate ARIMA model could be found.
static class	AutoCorrelation.NonPosVariancesException The problem is ill-conditioned.
static class	CategoricalGenLinModel.ClassificationVariableException The ClassificationVariable vector has not been initialized.
static class	CategoricalGenLinModel.ClassificationVariableLimitException The Classification Variable limit set by the user through setUpperBound has been exceeded.
static class	CategoricalGenLinModel.ClassificationVariableValueException The number of distinct values for each Classification Variable must be greater than 1.
static class	CategoricalGenLinModel.DeleteObservationsException The number of observations to be deleted (set by setObservationMax) has grown too large.
static class	CategoricalGenLinModel.RankDeficientException The model has been determined to be rank deficient.
static class	ChiSquaredTest.DidNotConvergeException The iteration did not converge
static class	ClusterKMeans.ClusterNoPointsException There is a cluster with no points
static class	ClusterKMeans.NoConvergenceException Convergence did not occur within the maximum number of iterations.
static class	ClusterKMeans.NonnegativeFreqException Deprecated. No longer used, replaced with an IllegalArgumentException.
static class	ClusterKMeans.NonnegativeWeightException Deprecated. No longer used, replaced with an IllegalArgumentException.
static class	Covariances.DiffObsDeletedException Deprecated.
static class	Covariances.MoreObsDelThanEnteredException Deprecated.
static class	Covariances.NonnegativeFreqException Frequencies must be nonnegative.
static class	Covariances.NonnegativeWeightException Weights must be nonnegative.
static class	Covariances.TooManyObsDeletedException Deprecated.
static class	CrossCorrelation.NonPosVariancesException The problem is ill-conditioned.
static class	DiscriminantAnalysis.CovarianceSingularException The variance-covariance matrix is singular.
static class	DiscriminantAnalysis.EmptyGroupException There are no observations in a group.
static class	DiscriminantAnalysis.SumOfWeightsNegException The sum of the weights have become negative.
static class	Dissimilarities.NoPositiveVarianceException No variable has positive variance.
static class	Dissimilarities.ScaleFactorZeroException The computations cannot continue because a scale factor is zero.
static class	Dissimilarities.ZeroNormException The computations cannot continue because the Euclidean norm of the column is equal to zero.
static class	EmpiricalQuantiles.ScaleFactorZeroException The computations cannot continue because a scale factor is zero.
static class	FactorAnalysis.BadVarianceException Bad variance error.
static class	FactorAnalysis.EigenvalueException Eigenvalue error.
static class	FactorAnalysis.NonPositiveEigenvalueException Non positive eigenvalue error.
static class	FactorAnalysis.NotPositiveDefiniteException Matrix not positive definite.
static class	FactorAnalysis.NotPositiveSemiDefiniteException Covariance matrix not positive semi-definite.
static class	FactorAnalysis.NotSemiDefiniteException Hessian matrix not semi-definite.
static class	FactorAnalysis.RankException Rank of covariance matrix error.
static class	FactorAnalysis.SingularException Covariance matrix singular error.
static class	GARCH.ConstrInconsistentException The equality constraints are inconsistent.
static class	GARCH.EqConstrInconsistentException The equality constraints and the bounds on the variables are found to be inconsistent.
static class	GARCH.NoVectorXException No vector X satisfies all of the constraints.
static class	GARCH.TooManyIterationsException Number of function evaluations exceeded 1000.
static class	GARCH.VarsDeterminedException The variables are determined by the equality constraints.
static class	InverseCdf.DidNotConvergeException The iteration did not converge
static class	MultiCrossCorrelation.NonPosVariancesException The problem is ill-conditioned.
static class	NonlinearRegression.NegativeFreqException A negative frequency was encountered.
static class	NonlinearRegression.NegativeWeightException A negative weight was encountered.
static class	NonlinearRegression.TooManyIterationsException The number of iterations has exceeded the maximum allowed.
static class	NormalityTest.NoVariationInputException There is no variation in the input data.
static class	PartialCovariances.InvalidMatrixException Exception thrown if a computed correlation is greater than one for some pair of variables.
static class	PartialCovariances.InvalidPartialCorrelationException Exception thrown if a computed partial correlation is greater than one for some pair of variables.
static class	Pdf.AltSeriesAccuracyLossException The magnitude of alternating series sum is too small relative to the sum of positive terms to permit a reliable accuracy.
static class	ProportionalHazards.ClassificationVariableLimitException The Classification Variable limit set by the user through setUpperBound has been exceeded.
static class	SelectionRegression.NoVariablesException No Variables can enter the model.
static class	StepwiseRegression.CyclingIsOccurringException Cycling is occurring.
static class	StepwiseRegression.NoVariablesEnteredException No Variables can enter the model.

Uses of IMSLException in com.imsl.test.example.math

Methods in com.imsl.test.example.math that throw IMSLException

Modifier and Type	Method and Description
static void	CholeskyEx1.main(String[] args)
static void	ComplexSparseCholeskyEx1.main(String[] args)
static void	ZeroSystemEx2.main(String[] args)
static void	OdeRungeKuttaEx1.main(String[] args)
static void	CsShapeEx1.main(String[] args)
static void	ZeroSystemEx1.main(String[] args)
static void	OdeAdamsGearEx1.main(String[] args)

Uses of IMSLException in com.imsl.test.example.stat

Methods in com.imsl.test.example.stat that throw IMSLException

Modifier and Type	Method and Description
static void	KalmanFilterEx2.main(String[] args)
static void	RandomEx2.main(String[] args)