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Packages that use NotConvergedException | |
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no.uib.cipr.matrix | Dense and structured sparse matrices, along with matrix factorisations and solvers. |
no.uib.cipr.matrix.sparse | Unstructured sparse matrices and vectors with iterative solvers and preconditioners. |
Uses of NotConvergedException in no.uib.cipr.matrix |
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Methods in no.uib.cipr.matrix that throw NotConvergedException | |
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EVD |
EVD.factor(DenseMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SVD |
SVD.factor(DenseMatrix A)
Computes an SVD |
SymmBandEVD |
SymmBandEVD.factor(LowerSymmBandMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SymmDenseEVD |
SymmDenseEVD.factor(LowerSymmDenseMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SymmPackEVD |
SymmPackEVD.factor(LowerSymmPackMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SymmTridiagEVD |
SymmTridiagEVD.factor(SymmTridiagMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SymmBandEVD |
SymmBandEVD.factor(UpperSymmBandMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SymmDenseEVD |
SymmDenseEVD.factor(UpperSymmDenseMatrix A)
Computes the eigenvalue decomposition of the given matrix |
SymmPackEVD |
SymmPackEVD.factor(UpperSymmPackMatrix A)
Computes the eigenvalue decomposition of the given matrix |
static EVD |
EVD.factorize(Matrix A)
Convenience method for computing the complete eigenvalue decomposition of the given matrix |
static SVD |
SVD.factorize(Matrix A)
Convenience method for computing a full SVD |
static SymmDenseEVD |
SymmDenseEVD.factorize(Matrix A)
Convenience method for computing the full eigenvalue decomposition of the given matrix |
static SymmPackEVD |
SymmPackEVD.factorize(Matrix A)
Convenience method for computing the full eigenvalue decomposition of the given matrix |
static SymmTridiagEVD |
SymmTridiagEVD.factorize(Matrix A)
Convenience method for computing the full eigenvalue decomposition of the given matrix |
static SymmBandEVD |
SymmBandEVD.factorize(Matrix A,
int kd)
Convenience method for computing the full eigenvalue decomposition of the given matrix |
Uses of NotConvergedException in no.uib.cipr.matrix.sparse |
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Subclasses of NotConvergedException in no.uib.cipr.matrix.sparse | |
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class |
IterativeSolverNotConvergedException
Exception for lack of convergence in a linear problem. |
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