- factor(LowerSPDBandMatrix) - Method in class no.uib.cipr.matrix.BandCholesky
-
Creates a Cholesky decomposition of the given matrix
- factor(UpperSPDBandMatrix) - Method in class no.uib.cipr.matrix.BandCholesky
-
Creates a Cholesky decomposition of the given matrix
- factor(BandMatrix, boolean) - Method in class no.uib.cipr.matrix.BandLU
-
Creates an LU decomposition of the given matrix.
- factor(BandMatrix) - Method in class no.uib.cipr.matrix.BandLU
-
Creates an LU decomposition of the given matrix.
- factor(LowerSPDDenseMatrix) - Method in class no.uib.cipr.matrix.DenseCholesky
-
Calculates a Cholesky decomposition
- factor(UpperSPDDenseMatrix) - Method in class no.uib.cipr.matrix.DenseCholesky
-
Calculates a Cholesky decomposition
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.DenseLU
-
Creates an LU decomposition of the given matrix
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.EVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.LQ
-
- factor(LowerSPDPackMatrix) - Method in class no.uib.cipr.matrix.PackCholesky
-
Calculates a Cholesky decomposition
- factor(UpperSPDPackMatrix) - Method in class no.uib.cipr.matrix.PackCholesky
-
Calculates a Cholesky decomposition
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.QL
-
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.QR
-
- factor(Matrix) - Method in class no.uib.cipr.matrix.QRP
-
Executes a QR factorization for the given matrix.
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.RQ
-
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.SVD
-
Computes an SVD
- factor(LowerSymmBandMatrix) - Method in class no.uib.cipr.matrix.SymmBandEVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(UpperSymmBandMatrix) - Method in class no.uib.cipr.matrix.SymmBandEVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(LowerSymmDenseMatrix) - Method in class no.uib.cipr.matrix.SymmDenseEVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(UpperSymmDenseMatrix) - Method in class no.uib.cipr.matrix.SymmDenseEVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(LowerSymmPackMatrix) - Method in class no.uib.cipr.matrix.SymmPackEVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(UpperSymmPackMatrix) - Method in class no.uib.cipr.matrix.SymmPackEVD
-
Computes the eigenvalue decomposition of the given matrix
- factor(SymmTridiagMatrix) - Method in class no.uib.cipr.matrix.SymmTridiagEVD
-
Computes the eigenvalue decomposition of the given matrix
- factorize(LowerSPDBandMatrix) - Static method in class no.uib.cipr.matrix.BandCholesky
-
Creates a Cholesky decomposition of the given matrix
- factorize(UpperSPDBandMatrix) - Static method in class no.uib.cipr.matrix.BandCholesky
-
Creates a Cholesky decomposition of the given matrix
- factorize(BandMatrix) - Static method in class no.uib.cipr.matrix.BandLU
-
Creates an LU decomposition of the given matrix.
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.DenseCholesky
-
Calculates a Cholesky decomposition
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.DenseLU
-
Creates an LU decomposition of the given matrix
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.EVD
-
Convenience method for computing the complete eigenvalue decomposition of
the given matrix
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.LQ
-
Convenience method to compute a LQ decomposition
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.PackCholesky
-
Calculates a Cholesky decomposition
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.QL
-
Convenience method to compute a QL decomposition
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.QR
-
Convenience method to compute a QR decomposition
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.QRP
-
Convenience method to compute a QR decomposition.
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.RQ
-
Convenience method to compute an RQ decomposition
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.SVD
-
Convenience method for computing a full SVD
- factorize(Matrix, int) - Static method in class no.uib.cipr.matrix.SymmBandEVD
-
Convenience method for computing the full eigenvalue decomposition of the
given matrix
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.SymmDenseEVD
-
Convenience method for computing the full eigenvalue decomposition of the
given matrix
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.SymmPackEVD
-
Convenience method for computing the full eigenvalue decomposition of the
given matrix
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.SymmTridiagEVD
-
Convenience method for computing the full eigenvalue decomposition of the
given matrix
- FlexCompColMatrix - Class in no.uib.cipr.matrix.sparse
-
Matrix stored column-wise into sparse vectors.
- FlexCompColMatrix(int, int) - Constructor for class no.uib.cipr.matrix.sparse.FlexCompColMatrix
-
Constructor for FlexCompColMatrix.
- FlexCompColMatrix(Matrix, boolean) - Constructor for class no.uib.cipr.matrix.sparse.FlexCompColMatrix
-
Constructor for FlexCompColMatrix.
- FlexCompColMatrix(Matrix) - Constructor for class no.uib.cipr.matrix.sparse.FlexCompColMatrix
-
Constructor for FlexCompColMatrix.
- FlexCompRowMatrix - Class in no.uib.cipr.matrix.sparse
-
Matrix stored row-wise into sparse vectors.
- FlexCompRowMatrix(int, int) - Constructor for class no.uib.cipr.matrix.sparse.FlexCompRowMatrix
-
Constructor for FlexCompRowMatrix.
- FlexCompRowMatrix(Matrix, boolean) - Constructor for class no.uib.cipr.matrix.sparse.FlexCompRowMatrix
-
Constructor for FlexCompRowMatrix.
- FlexCompRowMatrix(Matrix) - Constructor for class no.uib.cipr.matrix.sparse.FlexCompRowMatrix
-
Constructor for FlexCompRowMatrix.
- fromPartialPivots(int[]) - Static method in class no.uib.cipr.matrix.PermutationMatrix
-
The sequential row permutations to perform, e.g. (2, 3, 3) means: permute
row 1 with row 2, then permute row 2 with row 3, then permute row 3 with
row 3 (i.e. do nothing).