Uses of Interface
mikera.matrixx.decompose.ISVDResult

Packages that use ISVDResult

Package	Description
mikera.matrixx.algo
mikera.matrixx.decompose
mikera.matrixx.decompose.impl.svd

Uses of ISVDResult in mikera.matrixx.algo

Methods in mikera.matrixx.algo with parameters of type ISVDResult

Modifier and Type	Method and Description
static int	Rank.compute(ISVDResult result) Directly computes rank of matrix whose SVD decomposition has already been computed.
static int	Rank.compute(ISVDResult result, double threshold) Directly computes rank of matrix whose SVD decomposition has already been computed.

Uses of ISVDResult in mikera.matrixx.decompose

Methods in mikera.matrixx.decompose that return ISVDResult

Modifier and Type	Method and Description
static ISVDResult	SVD.decompose(AMatrix A) Computes the Singular Value Decomposition of a matrix, which is the decomposition of the given matrix A as: A = U*S*V, where U and V are orthogonal and S is a diagonal matrix containing singular values along its diagonal.
static ISVDResult	SVD.decompose(AMatrix A, boolean compact) Computes the Singular Value Decomposition of a matrix, which is the decomposition of the given matrix A as: A = U*S*V, where U and V are orthogonal and S is a diagonal matrix containing singular values along its diagonal.
static ISVDResult	SVD.decomposeCompact(AMatrix A) Computes the Singular Value Decomposition of a matrix, which is the decomposition of the given matrix A as: A = U*S*V, where U and V are orthogonal and S is a diagonal matrix containing singular values along its diagonal.

Uses of ISVDResult in mikera.matrixx.decompose.impl.svd

Classes in mikera.matrixx.decompose.impl.svd that implement ISVDResult

Modifier and Type	Class and Description
class	SVDResult

Methods in mikera.matrixx.decompose.impl.svd that return ISVDResult

Modifier and Type	Method and Description
static ISVDResult	ThinSVD.decompose(AMatrix a)
static ISVDResult	ThinSVD.decompose(Matrix matrix)