Uses of Interface
org.ojalgo.matrix.Provider2D.Rank

Packages that use Provider2D.Rank

Package	Description
org.ojalgo.matrix
org.ojalgo.matrix.decomposition

Uses of Provider2D.Rank in org.ojalgo.matrix

Classes in org.ojalgo.matrix that implement Provider2D.Rank

Modifier and Type	Class	Description
class	BasicMatrix<N extends Comparable<N>,M extends BasicMatrix<N,M>>	A base class for, easy to use, immutable (thread safe) matrices with a rich feature set.
final class	MatrixC128	A matrix (linear algebra) with Complex NumberSet.C elements, implemented using dual 64-bit double values. (2 x 64 = 128)
final class	MatrixH256	A matrix (linear algebra) with Quaternion NumberSet.H elements, implemented using four 64-bit double values. (4 x 64 = 256)
final class	MatrixQ128	A matrix (linear algebra) with Rational NumberSet.Q elements, implemented using dual 64-bit long values. (2 x 64 = 128)
final class	MatrixR032	A matrix (linear algebra) with Real NumberSet.R elements, approximated by 32-bit float.
final class	MatrixR064	A matrix (linear algebra) with Real NumberSet.R elements, approximated by 64-bit double.
final class	MatrixR128	A matrix (linear algebra) with Real NumberSet.R elements, approximated by 128-bit floating-point values (implemented using dual 64-bit double). (2 x 64 = 128)

Uses of Provider2D.Rank in org.ojalgo.matrix.decomposition

Subinterfaces of Provider2D.Rank in org.ojalgo.matrix.decomposition

Modifier and Type	Interface	Description
interface	Cholesky<N extends Comparable<N>>	Cholesky: [A] = [L][L]H (or [R]H[R])
static interface	Eigenvalue.Spectral<N extends Comparable<N>>	“Spectral decomposition” refers specifically to the orthogonal/unitary eigen-decomposition of a normal matrix (most commonly Hermitian / symmetric).
interface	LDL<N extends Comparable<N>>	LDL: [A] = [L][D][L]H (or [R]H[D][R])
interface	LDU<N extends Comparable<N>>	LDU: [A] = [L][D][U] ( [PL][L][D][U][PU] )
interface	LU<N extends Comparable<N>>	LU: [A] = [L][U]
static interface	MatrixDecomposition.RankRevealing<N extends Comparable<N>>	A rank-revealing matrix decomposition of a matrix [A] is a decomposition that is, or can be transformed to be, on the form [A]=[X][D][Y]T where: [X] and [Y] are square and well conditioned. [D] is diagonal with nonnegative and non-increasing values on the diagonal.
interface	QR<N extends Comparable<N>>	QR: [A] = [Q][R] Decomposes [this] into [Q] and [R] where: [Q] is an orthogonal matrix (orthonormal columns).
interface	SingularValue<N extends Comparable<N>>	Singular Value: [A] = [U][S][V]T Decomposes [this] into [U], [S] and [V] where: [U] is an orthogonal matrix.

Classes in org.ojalgo.matrix.decomposition that implement Provider2D.Rank

Modifier and Type	Class	Description
final class	SparseQDLDL	Quasi-Definite LDL (QDLDL) sparse decomposition.