Uses of Interface
org.ojalgo.matrix.decomposition.MatrixDecomposition.Solver
Packages that use MatrixDecomposition.Solver
Package
Description
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Uses of MatrixDecomposition.Solver in org.ojalgo.matrix.decomposition
Subinterfaces of MatrixDecomposition.Solver in org.ojalgo.matrix.decompositionModifier and TypeInterfaceDescriptioninterface
Cholesky<N extends Comparable<N>>
Cholesky: [A] = [L][L]H (or [R]H[R])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][D][V]T Decomposes [this] into [U], [D] and [V] where: [U] is an orthogonal matrix.Classes in org.ojalgo.matrix.decomposition that implement MatrixDecomposition.SolverModifier and TypeClassDescription(package private) class
CholeskyDecomposition<N extends Comparable<N>>
(package private) static final class
(package private) static final class
(package private) static final class
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(package private) static final class
(package private) class
HermitianEvD<N extends Comparable<N>>
Eigenvalues and eigenvectors of a real matrix.(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) class
LDLDecomposition<N extends Comparable<N>>
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) class
LUDecomposition<N extends Comparable<N>>
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) class
QRDecomposition<N extends Comparable<N>>
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) static final class
(package private) final class
(package private) static final class
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For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R.(package private) final class
Singular Value Decomposition.(package private) class
SingularValueDecomposition<N extends Comparable<N>>
(package private) static final class
(package private) static final class
(package private) static final class
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(package private) static final class
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Uses of MatrixDecomposition.Solver in org.ojalgo.optimisation.convex
Fields in org.ojalgo.optimisation.convex declared as MatrixDecomposition.SolverModifier and TypeFieldDescriptionprivate final MatrixDecomposition.Solver
<Double> BasePrimitiveSolver.mySolverGeneral
private final MatrixDecomposition.Solver
<Double> BasePrimitiveSolver.mySolverQ
Fields in org.ojalgo.optimisation.convex with type parameters of type MatrixDecomposition.SolverModifier and TypeFieldDescriptionprivate Function
<Structure2D, MatrixDecomposition.Solver<Double>> ConvexSolver.Configuration.mySolverGeneral
private Function
<Structure2D, MatrixDecomposition.Solver<Double>> ConvexSolver.Configuration.mySolverSPD
Methods in org.ojalgo.optimisation.convex that return MatrixDecomposition.SolverModifier and TypeMethodDescriptionConvexSolver.Configuration.newSolverGeneral
(Structure2D structure) ConvexSolver.Configuration.newSolverSPD
(Structure2D structure) Method parameters in org.ojalgo.optimisation.convex with type arguments of type MatrixDecomposition.SolverModifier and TypeMethodDescriptionConvexSolver.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.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. -
Uses of MatrixDecomposition.Solver in org.ojalgo.random.process
Methods in org.ojalgo.random.process that return MatrixDecomposition.SolverModifier and TypeMethodDescription(package private) MatrixDecomposition.Solver
<Double> GaussianField.getC22()