Uses of Interface
org.ojalgo.matrix.store.MatrixStore

Packages that use MatrixStore

Package	Description
org.ojalgo.ann
org.ojalgo.function.multiary
org.ojalgo.matrix
org.ojalgo.matrix.decomposition
org.ojalgo.matrix.store
org.ojalgo.matrix.task
org.ojalgo.matrix.task.iterative
org.ojalgo.matrix.transformation
org.ojalgo.optimisation
org.ojalgo.optimisation.convex
org.ojalgo.optimisation.integer
org.ojalgo.optimisation.linear
org.ojalgo.scalar
org.ojalgo.series.primitive

Uses of MatrixStore in org.ojalgo.ann

Methods in org.ojalgo.ann that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<Double>	ArtificialNeuralNetwork.invoke(Access1D<Double> input)

Uses of MatrixStore in org.ojalgo.function.multiary

Methods in org.ojalgo.function.multiary that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<N>	MultiaryFunction.TwiceDifferentiable.getGradient(Access1D<N> point) The gradient of a scalar field is a vector field that points in the direction of the greatest rate of increase of the scalar field, and whose magnitude is that rate of increase.
MatrixStore<N>	QuadraticFunction.getGradient(Access1D<N> point)
MatrixStore<N>	FirstOrderApproximation.getGradient(Access1D<N> point)
MatrixStore<N>	CompoundFunction.getGradient(Access1D<N> point)
MatrixStore<N>	SecondOrderApproximation.getGradient(Access1D<N> point)
MatrixStore<N>	LinearFunction.getGradient(Access1D<N> point)
MatrixStore<N>	ConstantFunction.getGradient(Access1D<N> point)
MatrixStore<N>	MultiaryFunction.TwiceDifferentiable.getHessian(Access1D<N> point) The Hessian matrix or Hessian is a square matrix of second-order partial derivatives of a function.
MatrixStore<N>	QuadraticFunction.getHessian(Access1D<N> point)
MatrixStore<N>	FirstOrderApproximation.getHessian(Access1D<N> point)
MatrixStore<N>	CompoundFunction.getHessian(Access1D<N> point)
MatrixStore<N>	SecondOrderApproximation.getHessian(Access1D<N> point)
MatrixStore<N>	LinearFunction.getHessian(Access1D<N> point)
MatrixStore<N>	ConstantFunction.getHessian(Access1D<N> point)

Uses of MatrixStore in org.ojalgo.matrix

Methods in org.ojalgo.matrix with parameters of type MatrixStore

Modifier and Type	Method and Description
static <N extends Number> int	MatrixUtils.hashCode(MatrixStore<N> matrix) Deprecated. v47 Use Access1D#hashCode() instead.
static <N extends Number> boolean	MatrixUtils.isNormal(MatrixStore<N> matrix) Deprecated. v47 isNormal()

Uses of MatrixStore in org.ojalgo.matrix.decomposition

Subinterfaces of MatrixStore in org.ojalgo.matrix.decomposition

Modifier and Type	Interface and Description
interface	DecompositionStore<N extends Number> Only classes that will act as a delegate to a MatrixDecomposition implementation from this package should implement this interface.

Methods in org.ojalgo.matrix.decomposition that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<N>	SingularValue.getD()
MatrixStore<N>	Bidiagonal.getD()
MatrixStore<N>	Eigenvalue.getD() The only requirements on [D] are that it should contain the eigenvalues and that [A][V] = [V][D].
MatrixStore<N>	LDL.getD()
MatrixStore<N>	Tridiagonal.getD()
default MatrixStore<ComplexNumber>	Eigenvalue.getEigenvectors()
MatrixStore<N>	Hessenberg.getH()
MatrixStore<N>	HermitianEvD.getInverse()
MatrixStore<N>	MatrixDecomposition.Solver.getInverse() The output must be a "right inverse" and a "generalised inverse".
MatrixStore<N>	HermitianEvD.getInverse(PhysicalStore<N> preallocated)
MatrixStore<N>	MatrixDecomposition.Solver.getInverse(PhysicalStore<N> preallocated) Implementiong this method is optional.
MatrixStore<N>	LU.getL()
default MatrixStore<N>	Cholesky.getL() Must implement either Cholesky.getL() or Cholesky.getR().
default MatrixStore<N>	LDL.getL() Must implement either LDL.getL() or LDL.getR().
MatrixStore<N>	Hessenberg.getQ()
MatrixStore<N>	QR.getQ()
MatrixStore<N>	Tridiagonal.getQ()
MatrixStore<N>	SingularValue.getQ1() If [A] is m-by-n and its rank is r, then: The first r columns of [Q1] span the column space, range or image of [A]. The last m-r columns of [Q1] span the left nullspace or cokernel of [A]. Calculating the QR decomposition of [A] is a faster alternative.
MatrixStore<N>	Bidiagonal.getQ1()
MatrixStore<N>	SingularValue.getQ2() If [A] is m-by-n and its rank is r, then: The first r columns of [Q2] span the row space or coimage of [A]. The last n-r columns of [Q2] span the nullspace or kernel of [A]. Calculating the QR decomposition of [A]T is a faster alternative.
MatrixStore<N>	Bidiagonal.getQ2()
default MatrixStore<N>	Cholesky.getR() Must implement either Cholesky.getL() or Cholesky.getR().
MatrixStore<N>	QR.getR()
default MatrixStore<N>	LDL.getR() Must implement either LDL.getL() or LDL.getR().
MatrixStore<N>	HermitianEvD.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs)
MatrixStore<N>	MatrixDecomposition.Solver.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs) [A][X]=[B] or [this][return]=[rhs]
MatrixStore<N>	HermitianEvD.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)
MatrixStore<N>	MatrixDecomposition.Solver.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated) Implementiong this method is optional.
MatrixStore<N>	LU.getU() http://en.wikipedia.org/wiki/Row_echelon_form This is the same as [D][U].
MatrixStore<N>	Eigenvalue.getV() The columns of [V] represent the eigenvectors of [A] in the sense that [A][V] = [V][D].
MatrixStore<N>	HermitianEvD.invert(Access2D<?> original)
MatrixStore<N>	HermitianEvD.invert(Access2D<?> original, PhysicalStore<N> preallocated)
protected MatrixStore<N>	HermitianEvD.makeD()
protected MatrixStore<N>	HermitianEvD.makeV()
default MatrixStore<N>	SingularValue.reconstruct()
default MatrixStore<N>	LU.reconstruct()
default MatrixStore<N>	Hessenberg.reconstruct()
default MatrixStore<N>	Cholesky.reconstruct()
default MatrixStore<N>	QR.reconstruct()
default MatrixStore<N>	Bidiagonal.reconstruct()
default MatrixStore<N>	Eigenvalue.reconstruct()
default MatrixStore<N>	LDL.reconstruct()
default MatrixStore<N>	Tridiagonal.reconstruct()
MatrixStore<N>	MatrixDecomposition.reconstruct()
static <N extends Number> MatrixStore<N>	Bidiagonal.reconstruct(Bidiagonal<N> decomposition) Deprecated. v48 Use Bidiagonal.reconstruct() instead
static <N extends Number> MatrixStore<N>	Cholesky.reconstruct(Cholesky<N> decomposition) Deprecated. v48 Use Cholesky.reconstruct() instead
static <N extends Number> MatrixStore<N>	Eigenvalue.reconstruct(Eigenvalue<N> decomposition) Deprecated. v48 Use Eigenvalue.reconstruct() instead
static <N extends Number> MatrixStore<N>	Hessenberg.reconstruct(Hessenberg<N> decomposition) Deprecated. v48 Use Hessenberg.reconstruct() instead
static <N extends Number> MatrixStore<N>	LDL.reconstruct(LDL<N> decomposition) Deprecated. v48 Use LDL.reconstruct() instead
static <N extends Number> MatrixStore<N>	LU.reconstruct(LU<N> decomposition) Deprecated. v48 Use LU.reconstruct() instead
static <N extends Number> MatrixStore<N>	QR.reconstruct(QR<N> decomposition) Deprecated. v48 Use QR.reconstruct() instead
static <N extends Number> MatrixStore<N>	SingularValue.reconstruct(SingularValue<N> decomposition) Deprecated. v48 Use SingularValue.reconstruct() instead
static <N extends Number> MatrixStore<N>	Tridiagonal.reconstruct(Tridiagonal<N> decomposition)
MatrixStore<N>	HermitianEvD.solve(Access2D<?> body, Access2D<?> rhs)
MatrixStore<N>	HermitianEvD.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

Methods in org.ojalgo.matrix.decomposition with parameters of type MatrixStore

Modifier and Type	Method and Description
default boolean	MatrixDecomposition.Hermitian.checkAndCompute(MatrixStore<N> matrix) Deprecated. v48 Use #checkAndDecompose(MatrixStore) instead
default boolean	MatrixDecomposition.Hermitian.checkAndDecompose(MatrixStore<N> matrix) Absolutely must check if the matrix is hermitian or not.
static <N extends Number> boolean	Bidiagonal.equals(MatrixStore<N> matrix, Bidiagonal<N> decomposition, NumberContext context)
static <N extends Number> boolean	Cholesky.equals(MatrixStore<N> matrix, Cholesky<N> decomposition, NumberContext context)
static <N extends Number> boolean	Eigenvalue.equals(MatrixStore<N> matrix, Eigenvalue<N> decomposition, NumberContext context)
static <N extends Number> boolean	Hessenberg.equals(MatrixStore<N> matrix, Hessenberg<N> decomposition, NumberContext context)
static <N extends Number> boolean	LDL.equals(MatrixStore<N> matrix, LDL<N> decomposition, NumberContext context)
static <N extends Number> boolean	LU.equals(MatrixStore<N> matrix, LU<N> decomposition, NumberContext context)
static <N extends Number> boolean	QR.equals(MatrixStore<N> matrix, QR<N> decomposition, NumberContext context)
static <N extends Number> boolean	SingularValue.equals(MatrixStore<N> matrix, SingularValue<N> decomposition, NumberContext context)
static <N extends Number> boolean	Tridiagonal.equals(MatrixStore<N> matrix, Tridiagonal<N> decomposition, NumberContext context)

Uses of MatrixStore in org.ojalgo.matrix.store

Subinterfaces of MatrixStore in org.ojalgo.matrix.store

Modifier and Type	Interface and Description
interface	PhysicalStore<N extends Number> PhysicalStore:s, as opposed to MatrixStore:s, are mutable.

Classes in org.ojalgo.matrix.store that implement MatrixStore

Modifier and Type	Class and Description
class	GenericDenseStore<N extends Number & Scalar<N>> A generic implementation of PhysicalStore.
class	PrimitiveDenseStore A Double (actually double) implementation of PhysicalStore.
class	RawStore Uses double[][] internally.
class	SparseStore<N extends Number>

Methods in org.ojalgo.matrix.store that return MatrixStore

Modifier and Type	Method and Description
default MatrixStore<N>	MatrixStore.add(MatrixStore<N> addend)
MatrixStore<N>	GenericDenseStore.conjugate()
MatrixStore<Double>	PrimitiveDenseStore.conjugate()
default MatrixStore<N>	MatrixStore.conjugate() Returns the conjugate transpose of this matrix.
MatrixStore<Double>	RawStore.get()
MatrixStore<N>	GenericDenseStore.get()
MatrixStore<Double>	PrimitiveDenseStore.get()
default MatrixStore<N>	MatrixStore.get()
MatrixStore<N>	MatrixStore.LogicalBuilder.get()
default MatrixStore<N>	ElementsSupplier.get()
default MatrixStore<N>	MatrixStore.multiply(double scalar)
MatrixStore<N>	SparseStore.multiply(double scalar)
MatrixStore<Double>	PrimitiveDenseStore.multiply(MatrixStore<Double> right)
MatrixStore<N>	GenericDenseStore.multiply(MatrixStore<N> right)
default MatrixStore<N>	MatrixStore.multiply(MatrixStore<N> right)
MatrixStore<N>	SparseStore.multiply(MatrixStore<N> right)
default MatrixStore<N>	MatrixStore.multiply(N scalar)
MatrixStore<N>	SparseStore.multiply(N scalar)
default MatrixStore<N>	MatrixStore.negate()
default MatrixStore<N>	MatrixStore.operateOnAll(UnaryFunction<N> operator)
default MatrixStore<N>	MatrixStore.signum()
default MatrixStore<N>	MatrixStore.subtract(MatrixStore<N> subtrahend)
MatrixStore<N>	GenericDenseStore.transpose()
MatrixStore<Double>	PrimitiveDenseStore.transpose()
default MatrixStore<N>	MatrixStore.transpose()

Methods in org.ojalgo.matrix.store with parameters of type MatrixStore

Modifier and Type	Method and Description
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.above(MatrixStore<N>... upperStore)
default MatrixStore<N>	MatrixStore.add(MatrixStore<N> addend)
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.below(MatrixStore<N>... lowerStore)
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.diagonally(MatrixStore<N>... diagonally)
default boolean	MatrixStore.equals(MatrixStore<N> other, NumberContext context)
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.left(MatrixStore<N>... left)
RawStore	RawStore.multiply(MatrixStore<Double> right)
MatrixStore<Double>	PrimitiveDenseStore.multiply(MatrixStore<Double> right)
MatrixStore<N>	GenericDenseStore.multiply(MatrixStore<N> right)
default MatrixStore<N>	MatrixStore.multiply(MatrixStore<N> right)
MatrixStore<N>	SparseStore.multiply(MatrixStore<N> right)
default ElementsSupplier<N>	ElementsSupplier.operateOnMatching(BinaryFunction<N> operator, MatrixStore<N> right)
default ElementsSupplier<N>	ElementsSupplier.operateOnMatching(MatrixStore<N> left, BinaryFunction<N> operator)
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.right(MatrixStore<N>... right)
default MatrixStore<N>	MatrixStore.subtract(MatrixStore<N> subtrahend)
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.superimpose(int row, int col, MatrixStore<N> matrix)
MatrixStore.LogicalBuilder<N>	MatrixStore.LogicalBuilder.superimpose(MatrixStore<N> matrix)

Uses of MatrixStore in org.ojalgo.matrix.task

Methods in org.ojalgo.matrix.task that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<Double>	AbstractInverter.invert(Access2D<?> original)
default MatrixStore<N>	InverterTask.invert(Access2D<?> original) The output must be a "right inverse" and a "generalised inverse".
MatrixStore<N>	InverterTask.invert(Access2D<?> original, PhysicalStore<N> preallocated) Exactly how (if at all) a specific implementation makes use of preallocated is not specified by this interface.
default MatrixStore<N>	SolverTask.solve(Access2D<?> body, Access2D<?> rhs) [A][X]=[B] or [body][return]=[rhs]
MatrixStore<N>	SolverTask.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated) Exactly how (if at all) a specific implementation makes use of preallocated is not specified by this interface.

Methods in org.ojalgo.matrix.task with parameters of type MatrixStore

Modifier and Type	Method and Description
DeterminantTask<N>	DeterminantTask.Factory.make(MatrixStore<N> template)
InverterTask<N>	InverterTask.Factory.make(MatrixStore<N> template)
SolverTask<N>	SolverTask.Factory.make(MatrixStore<N> templateBody, MatrixStore<N> templateRHS)
SolverTask<N>	SolverTask.Factory.make(MatrixStore<N> templateBody, MatrixStore<N> templateRHS)

Uses of MatrixStore in org.ojalgo.matrix.task.iterative

Methods in org.ojalgo.matrix.task.iterative that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<Double>	JacobiSolver.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> current)
MatrixStore<Double>	GaussSeidelSolver.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> current)
MatrixStore<Double>	MutableSolver.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> current)
MatrixStore<Double>	ConjugateGradientSolver.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

Uses of MatrixStore in org.ojalgo.matrix.transformation

Methods in org.ojalgo.matrix.transformation with parameters of type MatrixStore

Modifier and Type	Method and Description
static <N extends Number> HouseholderReference<N>	HouseholderReference.make(MatrixStore<N> matrix, boolean column)
static <N extends Number> HouseholderReference<N>	HouseholderReference.makeColumn(MatrixStore<N> matrix)
static <N extends Number> HouseholderReference<N>	HouseholderReference.makeRow(MatrixStore<N> matrix)

Uses of MatrixStore in org.ojalgo.optimisation

Methods in org.ojalgo.optimisation that return MatrixStore

Modifier and Type	Method and Description
protected abstract MatrixStore<Double>	GenericSolver.extractSolution() Should be able to feed this to GenericSolver.evaluateFunction(Access1D).
MatrixStore<Double>	Expression.getAdjustedGradient(Access1D<?> point)
MatrixStore<Double>	Expression.getAdjustedHessian()

Uses of MatrixStore in org.ojalgo.optimisation.convex

Methods in org.ojalgo.optimisation.convex that return MatrixStore

Modifier and Type	Method and Description
protected MatrixStore<Double>	ConvexSolver.extractSolution()
MatrixStore<Double>	ConvexSolver.Builder.getAE() [AE][X] == [BE]
MatrixStore<Double>	ConvexSolver.Builder.getBE() [AE][X] == [BE]
MatrixStore<Double>	ConvexSolver.Builder.getBI() [AI][X] <= [BI]
MatrixStore<Double>	ConvexSolver.Builder.getC() Linear objective: [C]
protected MatrixStore<Double>	ConvexSolver.getMatrixAE()
protected MatrixStore<Double>	ConvexSolver.getMatrixBE()
protected MatrixStore<Double>	ConvexSolver.getMatrixBI()
protected MatrixStore<Double>	ConvexSolver.getMatrixBI(int[] selector)
protected MatrixStore<Double>	ConvexSolver.getMatrixC()
protected MatrixStore<Double>	ConvexSolver.getSE()
protected MatrixStore<Double>	ConvexSolver.getSolutionGeneral(Access2D.Collectable<Double,? super PhysicalStore<Double>> rhs)
protected MatrixStore<Double>	ConvexSolver.getSolutionGeneral(Access2D.Collectable<Double,? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)
protected MatrixStore<Double>	ConvexSolver.getSolutionQ(Access2D.Collectable<Double,? super PhysicalStore<Double>> rhs)
protected MatrixStore<Double>	ConvexSolver.getSolutionQ(Access2D.Collectable<Double,? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

Methods in org.ojalgo.optimisation.convex with parameters of type MatrixStore

Modifier and Type	Method and Description
ConvexSolver.Builder	ConvexSolver.Builder.equalities(MatrixStore<Double> mtrxAE, MatrixStore<Double> mtrxBE)
ConvexSolver.Builder	ConvexSolver.Builder.equalities(MatrixStore<Double> mtrxAE, MatrixStore<Double> mtrxBE)
static ConvexSolver.Builder	ConvexSolver.getBuilder(MatrixStore<Double> Q, MatrixStore<Double> C)
static ConvexSolver.Builder	ConvexSolver.getBuilder(MatrixStore<Double> Q, MatrixStore<Double> C)
ConvexSolver.Builder	ConvexSolver.Builder.inequalities(Access2D<Double> mtrxAI, MatrixStore<Double> mtrxBI)
ConvexSolver.Builder	ConvexSolver.Builder.objective(MatrixStore<Double> mtrxC)
ConvexSolver.Builder	ConvexSolver.Builder.objective(MatrixStore<Double> mtrxQ, MatrixStore<Double> mtrxC)
ConvexSolver.Builder	ConvexSolver.Builder.objective(MatrixStore<Double> mtrxQ, MatrixStore<Double> mtrxC)

Constructors in org.ojalgo.optimisation.convex with parameters of type MatrixStore

Constructor and Description
Builder(MatrixStore<Double> C)
Builder(MatrixStore<Double> Q, MatrixStore<Double> C)
Builder(MatrixStore<Double> Q, MatrixStore<Double> C)

Uses of MatrixStore in org.ojalgo.optimisation.integer

Methods in org.ojalgo.optimisation.integer that return MatrixStore

Modifier and Type	Method and Description
protected MatrixStore<Double>	IntegerSolver.extractSolution()
protected MatrixStore<Double>	IntegerSolver.getGradient(Access1D<Double> solution)

Uses of MatrixStore in org.ojalgo.optimisation.linear

Methods in org.ojalgo.optimisation.linear that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<Double>	LinearSolver.Builder.getAE()
MatrixStore<Double>	LinearSolver.Builder.getBE()
MatrixStore<Double>	LinearSolver.Builder.getC()

Methods in org.ojalgo.optimisation.linear with parameters of type MatrixStore

Modifier and Type	Method and Description
LinearSolver.Builder	LinearSolver.Builder.equalities(MatrixStore<Double> mtrxAE, MatrixStore<Double> mtrxBE)
LinearSolver.Builder	LinearSolver.Builder.equalities(MatrixStore<Double> mtrxAE, MatrixStore<Double> mtrxBE)
static LinearSolver.Builder	LinearSolver.getBuilder(MatrixStore<Double> C)
LinearSolver.Builder	LinearSolver.Builder.objective(MatrixStore<Double> mtrxC)

Constructors in org.ojalgo.optimisation.linear with parameters of type MatrixStore

Constructor and Description
Builder(MatrixStore<Double> C)

Uses of MatrixStore in org.ojalgo.scalar

Methods in org.ojalgo.scalar that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<ComplexNumber>	Quaternion.toComplexMatrix()
MatrixStore<Double>	Quaternion.toMultiplicationMatrix()
MatrixStore<Double>	ComplexNumber.toMultiplicationMatrix()
MatrixStore<Double>	Quaternion.toMultiplicationVector()
MatrixStore<Double>	ComplexNumber.toMultiplicationVector()
MatrixStore<Double>	Quaternion.toRotationMatrix()
MatrixStore<Double>	Quaternion.Versor.toRotationMatrix()
MatrixStore<Double>	ComplexNumber.toRotationMatrix()

Uses of MatrixStore in org.ojalgo.series.primitive

Methods in org.ojalgo.series.primitive that return MatrixStore

Modifier and Type	Method and Description
MatrixStore<Double>	CoordinatedSet.getSamples()
MatrixStore<Double>	CoordinatedSet.getSamples(UnaryOperator<PrimitiveSeries> operator)