Uses of Interface
org.ejml.interfaces.decomposition.SingularValueDecomposition_F32

Packages that use SingularValueDecomposition_F32

Package	Description
org.ejml.dense.row
org.ejml.dense.row.decomposition.svd
org.ejml.dense.row.factory
org.ejml.dense.row.linsol.svd

Uses of SingularValueDecomposition_F32 in org.ejml.dense.row

Methods in org.ejml.dense.row with parameters of type SingularValueDecomposition_F32

Modifier and Type	Method	Description
static int	SingularOps_FDRM.nullity(SingularValueDecomposition_F32<?> svd)	Extracts the nullity of a matrix using a preexisting decomposition and default threshold.
static int	SingularOps_FDRM.nullity(SingularValueDecomposition_F32<?> svd, float threshold)	Extracts the nullity of a matrix using a preexisting decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullSpace(SingularValueDecomposition_F32<FMatrixRMaj> svd, @Nullable FMatrixRMaj nullSpace, float tol)	Returns the null-space from the singular value decomposition.
static FMatrixRMaj	SingularOps_FDRM.nullVector(SingularValueDecomposition_F32<FMatrixRMaj> svd, boolean isRight, @Nullable FMatrixRMaj nullVector)	The vector associated will the smallest singular value is returned as the null space of the decomposed system.
static int	SingularOps_FDRM.rank(SingularValueDecomposition_F32<?> svd)	Extracts the rank of a matrix using a preexisting decomposition and default threshold.
static int	SingularOps_FDRM.rank(SingularValueDecomposition_F32<?> svd, float threshold)	Extracts the rank of a matrix using a preexisting decomposition.
static float	SingularOps_FDRM.singularThreshold(SingularValueDecomposition_F32<?> svd)	Returns a reasonable threshold for singular values. tol = max (size (A)) * largest sigma * eps;
static float	SingularOps_FDRM.singularThreshold(SingularValueDecomposition_F32<?> svd, float tolerance)

Uses of SingularValueDecomposition_F32 in org.ejml.dense.row.decomposition.svd

Classes in org.ejml.dense.row.decomposition.svd that implement SingularValueDecomposition_F32

Modifier and Type	Class	Description
class	SafeSvd_FDRM	Wraps around a SingularValueDecomposition and ensures that the input is not modified.
class	SvdImplicitQrDecompose_FDRM	Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.
class	SvdImplicitQrDecompose_MT_FDRM	Concurrent version of SvdImplicitQrDecompose_FDRM

Constructors in org.ejml.dense.row.decomposition.svd with parameters of type SingularValueDecomposition_F32

Modifier	Constructor	Description
	SafeSvd_FDRM(SingularValueDecomposition_F32<FMatrixRMaj> alg)

Uses of SingularValueDecomposition_F32 in org.ejml.dense.row.factory

Methods in org.ejml.dense.row.factory that return SingularValueDecomposition_F32

Modifier and Type	Method	Description
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.svd(boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_FDRM.svd(int numRows, int numCols, boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that has been optimized for the specified matrix size.
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.svd(boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.
static SingularValueDecomposition_F32<FMatrixRMaj>	DecompositionFactory_MT_FDRM.svd(int numRows, int numCols, boolean needU, boolean needV, boolean compact)	Returns a SingularValueDecomposition that has been optimized for the specified matrix size.

Uses of SingularValueDecomposition_F32 in org.ejml.dense.row.linsol.svd

Methods in org.ejml.dense.row.linsol.svd that return SingularValueDecomposition_F32

Modifier and Type	Method	Description
SingularValueDecomposition_F32<FMatrixRMaj>	SolvePseudoInverseSvd_FDRM.getDecomposition()
SingularValueDecomposition_F32<FMatrixRMaj>	SolveNullSpaceSvd_FDRM.getSvd()