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## Uses of Class
no.uib.cipr.matrix.NotConvergedException

Packages that use NotConvergedException
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

Methods in no.uib.cipr.matrix that throw NotConvergedException
`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

Subclasses of NotConvergedException in no.uib.cipr.matrix.sparse
`class` | `IterativeSolverNotConvergedException` Exception for lack of convergence in a linear problem.

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