Uses of Class
com.imsl.IMSLException
Packages that use IMSLException
Package
Description
Data mining and machine learning.
Decision trees.
Support vector machines.
Methods for reading files.
Mathematical functions and algorithms.
Statistical methods.
Math examples.
Statistics examples.
-
Uses of IMSLException in com.imsl.datamining
Subclasses of IMSLException in com.imsl.dataminingModifier and TypeClassDescriptionstatic classWraps thejava.lang.CloneNotSupportedExceptionto indicate that theclonemethod in classObjecthas been called to clone an object, but that the object's class does not implement theCloneableinterface.static classAn exception class intended to be the parent of all nested Exception classes where the enclosing class extendsPredictiveModel.static classException thrown when an input parameter has changed that might affect the model estimates or predictions.static classException 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.decisionTreeModifier and TypeClassDescriptionstatic classException thrown when the maximum tree size has been exceeded.static classException thrown when pruning fails to converge.static classException thrown when attempting to split a node that is already pure (response variable is constant).static classClass 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.supportvectormachineModifier and TypeClassDescriptionstatic classClass that wraps exceptions thrown by reflective operations in core reflection. -
Uses of IMSLException in com.imsl.io
Subclasses of IMSLException in com.imsl.ioModifier and TypeClassDescriptionstatic classThe MPS file is invalid. -
Uses of IMSLException in com.imsl.math
Subclasses of IMSLException in com.imsl.mathModifier and TypeClassDescriptionstatic classFalse convergence - The iterates appear to be converging to a noncritical point.static classMaximum number of iterations exceeded.static classThe matrix is not symmetric, positive definite.static classThe iteration did not converge.static classThe matrix is not Hermitian, positive definite.static classThe iteration did not convergestatic classThe conjugate gradient method did not converge within the allowed maximum number of iterations.static classThe input matrix A is indefinite, that is the matrix is not positive or negative definite.static classThe Jacobi preconditioner is not strictly positive or negative definite.static classThe Precondition matrix is indefinite.static classThe Precondition matrix is singular.static classToo many iterations.static classAll constraints are not satisfied.static classThe bounds given are inconsistent.static classThe algorithm appears to be cycling.static classThe problem has multiple solutions giving essentially the same minimum.static classNo acceptable pivot could be found.static classThe LP problem has no constraints.static classThe problem is unbounded.static classThe problem is vacuous.static classSome constraints were discarded because they were too linearly dependent on other active constraints.static classDeprecated.static classThe iteration did not convergestatic classThe boundary conditions are inconsistent.static classThe constraints are inconsistent.static classCorrector failed to converge.static classError test failure detected.static classThe constraints at the initial point are inconsistent.static classIteration matrix is singular.static classThe end value for the integration in time, tout, is not consistent with the current time value, t.static classThe current integration point in time and the end point are equal.static classDistance between starting time point and end point for the integration is too small.static classTolerance is too small.static classToo many iterations required by the DAE solver.static classMaximum number of iterations exceeded.static classDeprecated.static classDeprecated.static classDeprecated.static classDeprecated.static classDeprecated.No longer used, replaced with anIllegalArgumentException.static classThe equality constraints are inconsistent.static classNo vector x satisfies all of the constraints.static classthe variables are determined by the equality constraints.static classThe equality constraints and the bounds on the variables are found to be inconsistent.static classPenalty function point infeasible for original problem.static classConstraint evaluation returns an error with current point.static classProblem is singular or ill-conditioned.static classLimiting accuracy reached for a singular problem.static classWorking set gradients are linearly dependent.static classNo acceptable stepsize in [SIGMA,SIGLA].static classObjective evaluation returns an error with current point.static classPenalty function point infeasible.static classQP problem seemingly infeasible.static classProblem is singular.static classTermination criteria are not satisfied.static classMaximum number of iterations exceeded.static classMaximum time allowed for solve exceeded.static classWorking set is singular in dual extended QP.static classDeprecated.MinConNonlinhas been replaced byMinConNLP.static classDeprecated.MinConNonlinhas been replaced byMinConNLP.static classDeprecated.MinConNonlinhas been replaced byMinConNLP.static classDeprecated.MinConNonlinhas been replaced byMinConNLP.static classDeprecated.MinConNonlinhas been replaced byMinConNLP.static classScaled 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 classFalse convergence error; the iterates appear to be converging to a noncritical point.static classMaximum number of iterations exceeded.static classFive 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 classToo many iterations.static classMaximum number of iterations has been exceeded.static classMaximum time allowed for solve is exceeded.static classThe iteration did not converge within the maximum number of steps allowed (default 500).static classMaximum function evaluations exceeded.static classThe interpolation matrix is singular.static classTolerance is too small or the problem is stiff.static classThe iteration did not converge within the maximum number of steps allowed (default 500).static classTolerance is too small or the problem is stiff.static classThe system of constraints is inconsistent.static classNo solution for the LP problem with h = 0 was found byDenseLP.static classThe objective value for the problem is unbounded.static classA solution was not found.classThe matrix is singular.static classThe matrix is not symmetric, positive definite.static classThe Cholesky factorization failed because of accuracy problems.static classA diagonal element of the diagonal weight matrix is too small.static classThe dual problem is infeasible.static classThe lower bound is greater than the upper bound.static classOne or more LP variables are falsely characterized by the internal presolver.static classOne or more LP variables are falsely characterized by the internal presolver.static classThe initial solution for the one-row linear program is infeasible.static classThe primal problem is infeasible.static classThe primal problem is unbounded.static classThe problem is unbounded.static classThe maximum number of iterations has been exceeded.static classA column of the constraint matrix has no entries.static classA row of the constraint matrix has no entries.static classThe iteration did not convergestatic classMaximum number of iterations exceeded.static classAn unexpected error occurred.static classThe iteration did not convergestatic classThe iteration did not converge.static classTolerance too smallstatic classToo many iterations. -
Uses of IMSLException in com.imsl.stat
Subclasses of IMSLException in com.imsl.statModifier and TypeClassDescriptionstatic classThe input triangular matrix is singular.static classThe problem is ill-conditioned.static classThe bound for the relative error is too small.static classThe input matrix is singular.static classThe iteration has not made good progress.static classThe residuals have become too large in one step of the Least Squares estimation of the ARMA coefficients.static classThe number of calls to the function has exceeded the maximum number of iterations times the number of moving average (MA) parameters + 1.static classMaximum number of function evaluations exceeded.static classMaximum number of iterations exceeded.static classMaximum number of Jacobian evaluations exceeded.static classThe solution is noninvertible.static classThe solution is nonstationary.static classNo appropriate ARIMA model could be found.static classThe problem is ill-conditioned.static classThe ClassificationVariable vector has not been initialized.static classThe Classification Variable limit set by the user throughsetUpperBoundhas been exceeded.static classThe number of distinct values for each Classification Variable must be greater than 1.static classThe number of observations to be deleted (set bysetObservationMax) has grown too large.static classThe model has been determined to be rank deficient.static classThe iteration did not convergestatic classThere is a cluster with no pointsstatic classConvergence did not occur within the maximum number of iterations.static classDeprecated.No longer used, replaced with anIllegalArgumentException.static classDeprecated.No longer used, replaced with anIllegalArgumentException.static classDeprecated.static classDeprecated.static classFrequencies must be nonnegative.static classWeights must be nonnegative.static classDeprecated.static classThe problem is ill-conditioned.static classThe variance-covariance matrix is singular.static classThere are no observations in a group.static classThe sum of the weights have become negative.static classNo variable has positive variance.static classThe computations cannot continue because a scale factor is zero.static classThe computations cannot continue because the Euclidean norm of the column is equal to zero.static classThe computations cannot continue because a scale factor is zero.static classBad variance error.static classEigenvalue error.static classNon positive eigenvalue error.static classMatrix not positive definite.static classCovariance matrix not positive semi-definite.static classHessian matrix not semi-definite.static classRank of covariance matrix error.static classCovariance matrix singular error.static classThe equality constraints are inconsistent.static classThe equality constraints and the bounds on the variables are found to be inconsistent.static classNo vector X satisfies all of the constraints.static classNumber of function evaluations exceeded 1000.static classThe variables are determined by the equality constraints.static classThe iteration did not convergestatic classThe problem is ill-conditioned.static classA Hessian matrix is ill-defined.static classThe number of positive eigenvalues of the double-centered distance matrix is too small.static classA negative frequency was encountered.static classA negative weight was encountered.static classThe number of iterations has exceeded the maximum allowed.static classThere is no variation in the input data.static classException thrown if a computed correlation is greater than one for some pair of variables.static classException thrown if a computed partial correlation is greater than one for some pair of variables.static classThe magnitude of alternating series sum is too small relative to the sum of positive terms to permit a reliable accuracy.static classThe Classification Variable limit set by the user throughsetUpperBoundhas been exceeded.static classNo Variables can enter the model.static classCycling is occurring.static classNo Variables can enter the model. -
Uses of IMSLException in com.imsl.test.example.math
Methods in com.imsl.test.example.math that throw IMSLExceptionModifier and TypeMethodDescriptionstatic voidstatic voidstatic voidstatic voidstatic voidstatic voidstatic void -
Uses of IMSLException in com.imsl.test.example.stat
Methods in com.imsl.test.example.stat that throw IMSLException
IllegalArgumentException.