Uses of Interface
org.ojalgo.matrix.decomposition.MatrixDecomposition.Solver

Packages that use MatrixDecomposition.Solver

Package	Description
org.ojalgo.matrix.decomposition
org.ojalgo.optimisation.convex

Uses of MatrixDecomposition.Solver in org.ojalgo.matrix.decomposition

Subinterfaces of MatrixDecomposition.Solver 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]
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 MatrixDecomposition.Solver

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

Uses of MatrixDecomposition.Solver in org.ojalgo.optimisation.convex

Methods in org.ojalgo.optimisation.convex that return MatrixDecomposition.Solver

Modifier and Type	Method	Description
MatrixDecomposition.Solver<Double>	ConvexSolver.Configuration.newSolverGeneral(Structure2D structure)
MatrixDecomposition.Solver<Double>	ConvexSolver.Configuration.newSolverSPD(Structure2D structure)

Method parameters in org.ojalgo.optimisation.convex with type arguments of type MatrixDecomposition.Solver

Modifier and Type	Method	Description
ConvexSolver.Configuration	ConvexSolver.Configuration.solverGeneral(Function<Structure2D,MatrixDecomposition.Solver<Double>> factory)	This matrix decomposition should be able to "invert" the full KKT systsem body matrix (which is symmetric) and/or its Schur complement with regards to the [Q] matrix (of quadratic terms).
ConvexSolver.Configuration	ConvexSolver.Configuration.solverSPD(Function<Structure2D,MatrixDecomposition.Solver<Double>> factory)	The [Q] matrix (of quadratic terms) is supposed to be symmetric positive definite (or at least semidefinite), but in reality there are usually many deficiencies.