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

Uses of MatrixStore in org.ojalgo.ann

Classes in org.ojalgo.ann that implement interfaces with type arguments of type MatrixStore

Modifier and Type

Class

Description

class

NetworkInvoker

Methods in org.ojalgo.ann that return MatrixStore

Modifier and Type

Method

Description

(package private) MatrixStore<Double>

CalculationLayer.getLogicalWeights()

MatrixStore<Double>

NetworkInvoker.invoke(Access1D<Double> input)

The input argument is typed as Access1D which essentially means it can be anything.

(package private) MatrixStore<Double>

WrappedANN.invoke(Access1D<Double> input, TrainingConfiguration configuration)

Methods in org.ojalgo.ann that return types with arguments of type MatrixStore

Modifier and Type

Method

Description

(package private) List<MatrixStore<Double>>

ArtificialNeuralNetwork.getWeights()

(package private) List<MatrixStore<Double>>

WrappedANN.getWeights()
Uses of MatrixStore in org.ojalgo.data.image

Classes in org.ojalgo.data.image that implement MatrixStore

Modifier and Type

Class

Description

class

ImageData

Treats an image as a matrix.

(package private) static final class

ImageData.SingleChannel

Methods in org.ojalgo.data.image with parameters of type MatrixStore

Modifier and Type

Method

Description

static ImageData

ImageData.fromFrequencyDomain(MatrixStore<ComplexNumber> transformed)

Creates a new image, transforming the input (back) from the frequency domain to the spatial domain using the inverse discrete Fourier transform.
Uses of MatrixStore in org.ojalgo.data.transform

Classes in org.ojalgo.data.transform that implement interfaces with type arguments of type MatrixStore

Modifier and Type

Class

Description

class

DiscreteFourierTransform

The discrete Fourier transform (DFT) converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency.

Methods in org.ojalgo.data.transform that return MatrixStore

Modifier and Type

Method

Description

static MatrixStore<ComplexNumber>

ZTransform.doDFT(Access1D<?> input)

This method computes the discrete Fourier transform (DFT) of a sequence of real numbers.

final MatrixStore<ComplexNumber>

DiscreteFourierTransform.inverse(Access1D<ComplexNumber> input)

static MatrixStore<ComplexNumber>

DiscreteFourierTransform.inverse2D(MatrixStore<?> input)

static MatrixStore<ComplexNumber>

DiscreteFourierTransform.sample(DoubleUnaryOperator function, PrimitiveFunction.SampleDomain sampleDomain)

Sample, and transform, a function using the Discrete Fourier Transform.

static MatrixStore<ComplexNumber>

DiscreteFourierTransform.sample(PeriodicFunction function, int nbSamples)

static <N extends Comparable<N>> MatrixStore<N>

DiscreteFourierTransform.shift(MatrixStore<N> matrix)

There is a symmetry in the DFT matrix.

MatrixStore<ComplexNumber>

DiscreteFourierTransform.FFT.transform(double... input)

MatrixStore<ComplexNumber>

DiscreteFourierTransform.transform(double... input)

final MatrixStore<ComplexNumber>

DiscreteFourierTransform.transform(Access1D<?> input)

static MatrixStore<ComplexNumber>

DiscreteFourierTransform.transform2D(MatrixStore<?> input)

Perform a 2D Discrete Fourier Transform on the input matrix.

Methods in org.ojalgo.data.transform with parameters of type MatrixStore

Modifier and Type

Method

Description

static MatrixStore<ComplexNumber>

DiscreteFourierTransform.inverse2D(MatrixStore<?> input)

static <N extends Comparable<N>> MatrixStore<N>

DiscreteFourierTransform.shift(MatrixStore<N> matrix)

There is a symmetry in the DFT matrix.

static MatrixStore<ComplexNumber>

DiscreteFourierTransform.transform2D(MatrixStore<?> input)

Perform a 2D Discrete Fourier Transform on the input matrix.

static void

DiscreteFourierTransform.transform2D(MatrixStore<?> input, DiscreteFourierTransform.Directive directive, TransformableRegion<ComplexNumber> output)
Uses of MatrixStore in org.ojalgo.function.multiary

Fields in org.ojalgo.function.multiary declared as MatrixStore

Modifier and Type

Field

Description

private final MatrixStore<N>

AffineFunction.myCoefficients

private final MatrixStore<N>

LinearFunction.myCoefficients

private final MatrixStore<N>

PureQuadraticFunction.myCoefficients

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

Modifier and Type

Method

Description

MatrixStore<N>

AffineFunction.getGradient(Access1D<N> point)

MatrixStore<N>

ConstantFunction.getGradient(Access1D<N> point)

MatrixStore<N>

FirstOrderApproximation.getGradient(Access1D<N> point)

MatrixStore<N>

LinearFunction.getGradient(Access1D<N> point)

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>

PureQuadraticFunction.getGradient(Access1D<N> point)

MatrixStore<N>

QuadraticFunction.getGradient(Access1D<N> point)

MatrixStore<N>

SecondOrderApproximation.getGradient(Access1D<N> point)

MatrixStore<N>

AffineFunction.getHessian(Access1D<N> point)

MatrixStore<N>

ConstantFunction.getHessian(Access1D<N> point)

MatrixStore<N>

FirstOrderApproximation.getHessian(Access1D<N> point)

MatrixStore<N>

LinearFunction.getHessian(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>

PureQuadraticFunction.getHessian(Access1D<N> point)

MatrixStore<N>

QuadraticFunction.getHessian(Access1D<N> point)

MatrixStore<N>

SecondOrderApproximation.getHessian(Access1D<N> point)

MatrixStore<N>

AffineFunction.getLinearFactors(boolean negated)

MatrixStore<N>

ApproximateFunction.getLinearFactors(boolean negated)

MatrixStore<N>

ConstantFunction.getLinearFactors(boolean negated)

MatrixStore<N>

LinearFunction.getLinearFactors(boolean negated)

MatrixStore<N>

MultiaryFunction.TwiceDifferentiable.getLinearFactors(boolean negated)

MatrixStore<N>

PureQuadraticFunction.getLinearFactors(boolean negated)

MatrixStore<N>

QuadraticFunction.getLinearFactors(boolean negated)

Constructors in org.ojalgo.function.multiary with parameters of type MatrixStore

Modifier

Constructor

Description

(package private)

AffineFunction(MatrixStore<N> coefficients)

(package private)

LinearFunction(MatrixStore<N> coefficients)

(package private)

PureQuadraticFunction(MatrixStore<N> coefficients)

(package private)

QuadraticFunction(MatrixStore<N> quadratic, MatrixStore<N> linear)
Uses of MatrixStore in org.ojalgo.matrix

Fields in org.ojalgo.matrix declared as MatrixStore

Modifier and Type

Field

Description

private MatrixStore<N>

BasicMatrix.myStore

Methods in org.ojalgo.matrix that return MatrixStore

Modifier and Type

Method

Description

(package private) MatrixStore<N>

BasicMatrix.store()

Methods in org.ojalgo.matrix that return types with arguments of type MatrixStore

Modifier and Type

Method

Description

private Provider2D.Inverse<Optional<MatrixStore<N>>>

BasicMatrix.getInverseProvider(boolean safe)

private Provider2D.Solution<Optional<MatrixStore<N>>>

BasicMatrix.getSolutionProvider(boolean safe, Access2D<?> rhs)

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

Modifier and Type

Method

Description

(package private) abstract M

DenseMutator2D.instantiate(MatrixStore<N> store)

(package private) MatrixC128

MatrixC128.DenseReceiver.instantiate(MatrixStore<ComplexNumber> store)

(package private) MatrixC128

MatrixC128.SparseReceiver.instantiate(MatrixStore<ComplexNumber> store)

(package private) MatrixH256

MatrixH256.DenseReceiver.instantiate(MatrixStore<Quaternion> store)

(package private) MatrixH256

MatrixH256.SparseReceiver.instantiate(MatrixStore<Quaternion> store)

(package private) MatrixQ128

MatrixQ128.DenseReceiver.instantiate(MatrixStore<RationalNumber> store)

(package private) MatrixQ128

MatrixQ128.SparseReceiver.instantiate(MatrixStore<RationalNumber> store)

(package private) MatrixR032

MatrixR032.DenseReceiver.instantiate(MatrixStore<Double> store)

(package private) MatrixR032

MatrixR032.SparseReceiver.instantiate(MatrixStore<Double> store)

(package private) MatrixR064

MatrixR064.DenseReceiver.instantiate(MatrixStore<Double> store)

(package private) MatrixR064

MatrixR064.SparseReceiver.instantiate(MatrixStore<Double> store)

(package private) MatrixR128

MatrixR128.DenseReceiver.instantiate(MatrixStore<Quadruple> store)

(package private) MatrixR128

MatrixR128.SparseReceiver.instantiate(MatrixStore<Quadruple> store)

(package private) abstract M

SparseMutator2D.instantiate(MatrixStore<N> store)
Uses of MatrixStore in org.ojalgo.matrix.decomposition

Subinterfaces of MatrixStore in org.ojalgo.matrix.decomposition

Modifier and Type

Interface

Description

interface

DecompositionStore<N extends Comparable<N>>

Only classes that will act as a delegate to a MatrixDecomposition implementation from this package should implement this interface.

Subinterfaces with type arguments of type MatrixStore in org.ojalgo.matrix.decomposition

Modifier and Type

Interface

Description

static interface

MatrixDecomposition.Solver<N extends Comparable<N>>

static interface

MatrixDecomposition.Solver<N extends Comparable<N>>

Fields in org.ojalgo.matrix.decomposition declared as MatrixStore

Modifier and Type

Field

Description

private MatrixStore<N>

DenseEigenvalue.myD

private MatrixStore<N>

DenseTridiagonal.myD

private MatrixStore<Double>

RawEigenvalue.myD

private MatrixStore<N>

DenseSingularValue.myInverse

private MatrixStore<N>

HermitianEvD.myInverse

private MatrixStore<Double>

RawEigenvalue.Symmetric.myInverse

private MatrixStore<Double>

RawSingularValue.myInverse

private MatrixStore<N>

DenseSingularValue.myS

private MatrixStore<N>

HermitianEvD.myS

private MatrixStore<Double>

RawEigenvalue.Symmetric.myS

private MatrixStore<N>

DenseSingularValue.myU

private MatrixStore<N>

HermitianEvD.myU

private MatrixStore<Double>

RawEigenvalue.Symmetric.myU

private MatrixStore<N>

DenseEigenvalue.myV

private MatrixStore<N>

DenseSingularValue.myV

private MatrixStore<Double>

RawEigenvalue.myV

Methods in org.ojalgo.matrix.decomposition that return MatrixStore
Modifier and Type

Method

Description

(package private) final MatrixStore<N>

AbstractDecomposition.collect(Access2D.Collectable<N, ? super M> source)

private MatrixStore<Double>

RawCholesky.doGetInverse(PhysicalStore<Double> preallocated)

private MatrixStore<Double>

RawLU.doGetInverse(PhysicalStore<Double> preallocated)

private MatrixStore<Double>

RawQR.doGetInverse(R064Store preallocated)

Makes no use of preallocated at all.

private MatrixStore<Double>

RawCholesky.doSolve(PhysicalStore<Double> preallocated)

private MatrixStore<Double>

RawLU.doSolve(PhysicalStore<Double> preallocated)

private MatrixStore<Double>

RawQR.doSolve(R064Store preallocated)

MatrixStore<N>

DenseSingularValue.getCovariance()

MatrixStore<N>

HermitianEvD.getCovariance()

MatrixStore<Double>

RawEigenvalue.Symmetric.getCovariance()

MatrixStore<Double>

RawSingularValue.getCovariance()

MatrixStore<N>

SingularValue.getCovariance()

MatrixStore<N>

Bidiagonal.getD()

MatrixStore<N>

DenseBidiagonal.getD()

final MatrixStore<N>

DenseEigenvalue.getD()

MatrixStore<N>

DenseLDL.getD()

MatrixStore<N>

DenseSingularValue.getD()

Deprecated.
Use DenseSingularValue.getS() instead

final MatrixStore<N>

DenseTridiagonal.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<Double>

RawEigenvalue.getD()

Return the block diagonal eigenvalue matrix

MatrixStore<Double>

RawSingularValue.getD()

Deprecated.
Use RawSingularValue.getS() instead

MatrixStore<N>

SingularValue.getD()

Deprecated.
Use SingularValue.getS() instead

MatrixStore<Double>

SparseQDLDL.getD()

MatrixStore<N>

Tridiagonal.getD()

default MatrixStore<ComplexNumber>

Eigenvalue.getEigenvectors()

final MatrixStore<N>

DenseHessenberg.getH()

MatrixStore<N>

Hessenberg.getH()

MatrixStore<N>

DenseCholesky.getInverse(PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLDL.getInverse(PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLU.getInverse(PhysicalStore<N> preallocated)

MatrixStore<N>

DenseQR.getInverse(PhysicalStore<N> preallocated)

MatrixStore<N>

DenseSingularValue.getInverse()

MatrixStore<N>

DenseSingularValue.getInverse(PhysicalStore<N> preallocated)

MatrixStore<N>

GeneralEvD.getInverse()

MatrixStore<N>

GeneralEvD.getInverse(DecompositionStore<N> newPreallocated)

MatrixStore<N>

HermitianEvD.getInverse()

MatrixStore<N>

HermitianEvD.getInverse(PhysicalStore<N> preallocated)

MatrixStore<N>

InPlaceDecomposition.getInverse()

MatrixStore<N>

InPlaceDecomposition.getInverse(PhysicalStore<N> preallocated)

default MatrixStore<N>

MatrixDecomposition.Solver.getInverse()

The output must be a "right inverse" and a "generalised inverse".

MatrixStore<N>

MatrixDecomposition.Solver.getInverse(PhysicalStore<N> preallocated)

Implementing this method is optional.

MatrixStore<Double>

RawCholesky.getInverse(PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawEigenvalue.Symmetric.getInverse()

MatrixStore<Double>

RawEigenvalue.Symmetric.getInverse(PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawLU.getInverse(PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawQR.getInverse(PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawSingularValue.getInverse()

MatrixStore<Double>

RawSingularValue.getInverse(PhysicalStore<Double> preallocated)

MatrixStore<Double>

SparseLU.getInverse(PhysicalStore<Double> preallocated)

MatrixStore<Double>

SparseQDLDL.getInverse(PhysicalStore<Double> preallocated)

private MatrixStore<N>

DenseSingularValue.getInverseOldVersion(DecompositionStore<N> preallocated)

default MatrixStore<N>

Cholesky.getL()

Must implement either Cholesky.getL() or Cholesky.getR().

MatrixStore<N>

DenseCholesky.getL()

MatrixStore<N>

DenseLDL.getL()

MatrixStore<N>

DenseLU.getL()

default MatrixStore<N>

LDL.getL()

Must implement either LDL.getL() or LDL.getR().

MatrixStore<N>

LU.getL()

MatrixStore<Double>

RawCholesky.getL()

MatrixStore<Double>

RawLU.getL()

MatrixStore<Double>

SparseLU.getL()

MatrixStore<Double>

SparseQDLDL.getL()

MatrixStore<N>

Bidiagonal.getLQ()

MatrixStore<N>

DenseBidiagonal.getLQ()

final MatrixStore<N>

DenseHessenberg.getQ()

MatrixStore<N>

DenseQR.getQ()

final MatrixStore<N>

DenseTridiagonal.getQ()

MatrixStore<N>

Hessenberg.getQ()

MatrixStore<N>

QR.getQ()

MatrixStore<N>

Tridiagonal.getQ()

default MatrixStore<N>

Cholesky.getR()

Must implement either Cholesky.getL() or Cholesky.getR().

MatrixStore<N>

DenseQR.getR()

default MatrixStore<N>

LDL.getR()

Must implement either LDL.getL() or LDL.getR().

MatrixStore<N>

QR.getR()

MatrixStore<Double>

RawQR.getR()

Return the upper triangular factor

MatrixStore<N>

Bidiagonal.getRQ()

MatrixStore<N>

DenseBidiagonal.getRQ()

MatrixStore<N>

DenseSingularValue.getS()

MatrixStore<N>

HermitianEvD.getS()

If there are no negative eigenvalues this method will simply reuse the eigenvalue diagonal (D)

MatrixStore<Double>

RawEigenvalue.Symmetric.getS()

MatrixStore<Double>

RawSingularValue.getS()

MatrixStore<N>

SingularValue.getS()

MatrixStore<N>

DenseCholesky.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

Solves [this][X] = [rhs] by first solving

MatrixStore<N>

DenseLDL.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLU.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

Solves [this][X] = [rhs] by first solving

MatrixStore<N>

DenseQR.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

Solve [A]*[X]=[B] by first solving [Q]*[Y]=[B] and then [R]*[X]=[Y].

MatrixStore<N>

DenseSingularValue.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

HermitianEvD.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

default MatrixStore<N>

LU.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs)

default MatrixStore<N>

MatrixDecomposition.Solver.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs)

[A][X]=[B] or [this][return]=[rhs]

MatrixStore<N>

MatrixDecomposition.Solver.getSolution(Access2D.Collectable<N, ? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)

Implementing this method is optional.

MatrixStore<Double>

RawCholesky.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawEigenvalue.Symmetric.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawLU.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawQR.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawSingularValue.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

SparseLU.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

SparseQDLDL.getSolution(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

MatrixStore<N>

DenseLU.getU()

MatrixStore<N>

DenseSingularValue.getU()

MatrixStore<N>

HermitianEvD.getU()

For SPD matrices U == V; for indefinite we must absorb eigenvalue sign into U

MatrixStore<N>

LU.getU()

http://en.wikipedia.org/wiki/Row_echelon_form

This is the same as [D][U].

MatrixStore<Double>

RawEigenvalue.Symmetric.getU()

MatrixStore<Double>

RawLU.getU()

MatrixStore<Double>

RawSingularValue.getU()

MatrixStore<N>

SingularValue.getU()

If [A] is m-by-n and its rank is r, then: The first r columns of [U] span the column space, range or image of [A]. The last m-r columns of [U] span the left nullspace or cokernel of [A]. Calculating the QR decomposition of [A] is a faster alternative.

MatrixStore<Double>

SparseLU.getU()
If SparseLU.updateColumn(int, Access1D.Collectable) or

invalid reference

#updateColumn(int, Access1D.Collectable, PhysicalStore)

has been invoked, then this is no longer guaranteed to be triangular.
final MatrixStore<N>

DenseEigenvalue.getV()

MatrixStore<N>

DenseSingularValue.getV()

MatrixStore<N>

Eigenvalue.getV()

The columns of [V] represent the eigenvectors of [A] in the sense that [A][V] = [V][D].

MatrixStore<Double>

RawEigenvalue.getV()

Return the eigenvector matrix

MatrixStore<Double>

RawSingularValue.getV()

MatrixStore<N>

SingularValue.getV()

If [A] is m-by-n and its rank is r, then: The first r columns of [V] span the row space or coimage of [A]. The last n-r columns of [V] span the nullspace or kernel of [A]. Calculating the QR decomposition of [A]^T is a faster alternative.

MatrixStore<N>

DenseCholesky.invert(Access2D<?> original, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLDL.invert(Access2D<?> original)

MatrixStore<N>

DenseLDL.invert(Access2D<?> original, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLU.invert(Access2D<?> original)

MatrixStore<N>

DenseLU.invert(Access2D<?> original, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseQR.invert(Access2D<?> original)

MatrixStore<N>

DenseQR.invert(Access2D<?> original, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseSingularValue.invert(Access2D<?> original)

MatrixStore<N>

DenseSingularValue.invert(Access2D<?> original, PhysicalStore<N> preallocated)

MatrixStore<N>

HermitianEvD.invert(Access2D<?> original)

MatrixStore<N>

HermitianEvD.invert(Access2D<?> original, PhysicalStore<N> preallocated)

MatrixStore<Double>

RawCholesky.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawEigenvalue.Symmetric.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawLU.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawQR.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawSingularValue.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

static <N extends Comparable<N>> MatrixStore<N>

SingularValue.invert(SingularValue<N> decomposition, PhysicalStore<N> preallocated)

MatrixStore<Double>

SparseLU.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

MatrixStore<Double>

SparseQDLDL.invert(Access2D<?> original, PhysicalStore<Double> preallocated)

(package private) MatrixStore<N>

DeferredTridiagonal.makeD()

protected abstract MatrixStore<N>

DenseEigenvalue.makeD()

protected MatrixStore<N>

DenseSingularValue.makeD()

(package private) abstract MatrixStore<N>

DenseTridiagonal.makeD()

protected MatrixStore<N>

DynamicEvD.makeD()

protected final MatrixStore<N>

GeneralEvD.makeD()

protected MatrixStore<N>

GeneralisedEvD.makeD()

protected MatrixStore<N>

HermitianEvD.makeD()

protected MatrixStore<Double>

RawEigenvalue.makeD(double[] d, double[] e)

protected MatrixStore<Double>

RawEigenvalue.Symmetric.makeD(double[] d, double[] e)

(package private) MatrixStore<Double>

SimultaneousTridiagonal.makeD()

(package private) final MatrixStore<N>

AbstractDecomposition.makeIdentity(int dimension)

protected final MatrixStore<N>

GeneralEvD.makeInverse()

protected abstract MatrixStore<N>

DenseEigenvalue.makeV()

protected MatrixStore<N>

DynamicEvD.makeV()

protected MatrixStore<N>

GeneralEvD.makeV()

protected MatrixStore<N>

GeneralisedEvD.makeV()

protected MatrixStore<N>

HermitianEvD.makeV()

default MatrixStore<N>

Bidiagonal.reconstruct()

default MatrixStore<N>

Cholesky.reconstruct()

default MatrixStore<N>

Eigenvalue.reconstruct()

static <N extends Comparable<N>> MatrixStore<N>

Eigenvalue.reconstruct(Eigenvalue<N> decomposition)

default MatrixStore<N>

Eigenvalue.Spectral.reconstruct()

MatrixStore<N>

GeneralisedEvD.reconstruct()

MatrixStore<N>

HermitianEvD.reconstruct()

default MatrixStore<N>

Hessenberg.reconstruct()

default MatrixStore<N>

LDL.reconstruct()

default MatrixStore<N>

LU.reconstruct()

MatrixStore<N>

MatrixDecomposition.reconstruct()

default MatrixStore<N>

QR.reconstruct()

MatrixStore<Double>

RawEigenvalue.Symmetric.reconstruct()

default MatrixStore<N>

SingularValue.reconstruct()

default MatrixStore<N>

SingularValue.reconstruct(int k)

static <N extends Comparable<N>> MatrixStore<N>

SingularValue.reconstruct(SingularValue<N> decomposition)

default MatrixStore<N>

Tridiagonal.reconstruct()

(package private) MatrixStore<N>

GeneralisedEvD.recover(MatrixStore<N> reduced)

MatrixStore<N>

DenseCholesky.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLDL.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseLU.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseQR.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

DenseSingularValue.solve(Access2D<?> body, Access2D<?> rhs)

MatrixStore<N>

DenseSingularValue.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

MatrixStore<N>

HermitianEvD.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<N> preallocated)

MatrixStore<Double>

RawCholesky.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawEigenvalue.Symmetric.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawLU.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawQR.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

RawSingularValue.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

static <N extends Comparable<N>> MatrixStore<N>

SingularValue.solve(SingularValue<N> decomposition, MatrixStore<N> rhs, PhysicalStore<N> preallocated)

MatrixStore<Double>

SparseLU.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

SparseQDLDL.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

(package private) final MatrixStore<N>

AbstractDecomposition.wrap(Access2D<?> source)
Methods in org.ojalgo.matrix.decomposition that return types with arguments of type MatrixStore

Modifier and Type

Method

Description

default Optional<MatrixStore<N>>

MatrixDecomposition.Solver.invert()

default Optional<MatrixStore<N>>

MatrixDecomposition.Solver.solve(Access2D<?> rhs)

default Provider2D.Inverse<Optional<MatrixStore<N>>>

MatrixDecomposition.Solver.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)

default Provider2D.Solution<Optional<MatrixStore<N>>>

MatrixDecomposition.Solver.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

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

Modifier and Type

Method

Description

boolean

DenseCholesky.checkAndDecompose(MatrixStore<N> matrix)

boolean

DynamicEvD.checkAndDecompose(MatrixStore<N> matrix)

boolean

GeneralEvD.checkAndDecompose(MatrixStore<N> matrix)

boolean

HermitianEvD.checkAndDecompose(MatrixStore<N> matrix)

default boolean

MatrixDecomposition.Hermitian.checkAndDecompose(MatrixStore<N> matrix)

Absolutely must check if the matrix is hermitian or not.

boolean

RawCholesky.checkAndDecompose(MatrixStore<Double> matrix)

static <N extends Comparable<N>> boolean

Bidiagonal.equals(MatrixStore<N> matrix, Bidiagonal<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

Cholesky.equals(MatrixStore<N> matrix, Cholesky<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

Eigenvalue.equals(MatrixStore<N> matrix, Eigenvalue<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

Hessenberg.equals(MatrixStore<N> matrix, Hessenberg<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

LDL.equals(MatrixStore<N> matrix, LDL<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

LU.equals(MatrixStore<N> matrix, LU<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

QR.equals(MatrixStore<N> matrix, QR<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

SingularValue.equals(MatrixStore<N> matrix, SingularValue<N> decomposition, NumberContext context)

static <N extends Comparable<N>> boolean

Tridiagonal.equals(MatrixStore<N> matrix, Tridiagonal<N> decomposition, NumberContext context)

(package private) MatrixStore<N>

GeneralisedEvD.recover(MatrixStore<N> reduced)

(package private) final void

DenseEigenvalue.setD(MatrixStore<N> newD)

(package private) final void

DenseEigenvalue.setV(MatrixStore<N> newV)

private void

DenseBidiagonal.solve(PhysicalStore<N> aMtrxV, MatrixStore<N> aMtrxD, DiagonalStore<N,?> aMtrxSimilar)

Will solve the equation system [aMtrxV][aMtrxD][X]=[aMtrxSimilar]^T and overwrite the solution [X] to [aV].

static <N extends Comparable<N>> MatrixStore<N>

SingularValue.solve(SingularValue<N> decomposition, MatrixStore<N> rhs, PhysicalStore<N> preallocated)

private DecompositionStore<N>

DenseBidiagonal.solve2(PhysicalStore<N> aMtrxV, MatrixStore<N> aMtrxD, DiagonalStore<N,?> aMtrxSimilar)

Method parameters in org.ojalgo.matrix.decomposition with type arguments of type MatrixStore

Modifier and Type

Method

Description

default Provider2D.Determinant<N>

MatrixDecomposition.Determinant.toDeterminantProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)

default Provider2D.Inverse<Optional<MatrixStore<N>>>

MatrixDecomposition.Solver.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)

default Provider2D.Solution<Optional<MatrixStore<N>>>

MatrixDecomposition.Solver.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)
Uses of MatrixStore in org.ojalgo.matrix.store

Subinterfaces of MatrixStore in org.ojalgo.matrix.store

Modifier and Type

Interface

Description

interface

PhysicalStore<N extends Comparable<N>>

PhysicalStore:s, as opposed to MatrixStore:s, are mutable.

Classes in org.ojalgo.matrix.store that implement MatrixStore
Modifier and Type

Class

Description

(package private) final class

AboveBelowStore<N extends Comparable<N>>

A merger of two MatrixStore instances by placing one store below the other.

(package private) class

AbstractStore<N extends Comparable<N>>

(package private) final class

ColumnsStore<N extends Comparable<N>>

A selection (re-ordering) of columns.

final class

ColumnsSupplier<N extends Comparable<N>>

Sparse columns – columns can be added and removed.

(package private) class

ComposingStore<N extends Comparable<N>>

(package private) class

CompressedSparseR064

(package private) final class

ConjugatedStore<N extends Comparable<N>>

ConjugatedStore

final class

DiagonalStore<N extends Comparable<N>, D extends Access1D<?>>

(package private) class

FactoryStore<N extends Comparable<N>>

final class

GenericStore<N extends Scalar<N>>

A generic implementation of PhysicalStore.

(package private) final class

IdentityStore<N extends Comparable<N>>

IdentityStore

(package private) final class

LeftRightStore<N extends Comparable<N>>

A merger of two MatrixStore instances by placing one store to the right of the other.

(package private) final class

LimitStore<N extends Comparable<N>>

(package private) class

LogicalStore<N extends Comparable<N>>

Logical stores are (intended to be) immutable.

(package private) final class

LowerHessenbergStore<N extends Comparable<N>>

A Hessenberg matrix is one that is "almost" triangular.

(package private) final class

LowerSymmetricStore<N extends Comparable<N>>

(package private) final class

LowerTriangularStore<N extends Comparable<N>>

(package private) final class

OffsetStore<N extends Comparable<N>>

final class

R032Store
A

invalid reference

float

implementation of PhysicalStore.
final class

R064CSC

A compressed sparse column (CSC) matrix store implementation for double precision values.

final class

R064CSR

A compressed sparse row (CSR) matrix store implementation for double precision values.

final class

R064Store
A

invalid reference

double

implementation of PhysicalStore.
final class

RawStore

Uses double[][] internally.

(package private) final class

RepeatedColumnsStore<N extends Comparable<N>>

(package private) final class

RepeatedRowsStore<N extends Comparable<N>>

(package private) final class

RowsStore<N extends Comparable<N>>

A selection (re-ordering) of rows.

final class

RowsSupplier<N extends Comparable<N>>

Sparse rows – rows can be added and removed.

(package private) class

SelectingStore<N extends Comparable<N>>

Selects (rearranges) existing rows and/or columns.

(package private) class

ShadingStore<N extends Comparable<N>>

Does not change the matrix size/shape, but applies some structure to the elements.

(package private) final class

SingleStore<N extends Comparable<N>>

final class

SparseStore<N extends Comparable<N>>

A sparse matrix (this implementation) is not thread safe.

(package private) final class

SuperimposedStore<N extends Comparable<N>>

SuperimposedStore

(package private) class

TransjugatedStore<N extends Comparable<N>>

(package private) final class

TransposedStore<N extends Comparable<N>>

(package private) final class

UnaryOperatoStore<N extends Comparable<N>>

(package private) final class

UpperHessenbergStore<N extends Comparable<N>>

A Hessenberg matrix is one that is "almost" triangular.

(package private) final class

UpperSymmetricStore<N extends Comparable<N>>

(package private) final class

UpperTriangularStore<N extends Comparable<N>>

(package private) final class

WrapperStore<N extends Comparable<N>>

(package private) final class

ZeroStore<N extends Comparable<N>>

ZeroStore
Subinterfaces with type arguments of type MatrixStore in org.ojalgo.matrix.store

Modifier and Type

Interface

Description

interface

MatrixStore<N extends Comparable<N>>

A MatrixStore is a two dimensional store of numbers/scalars.

interface

MatrixStore<N extends Comparable<N>>

A MatrixStore is a two dimensional store of numbers/scalars.

Fields in org.ojalgo.matrix.store declared as MatrixStore

Modifier and Type

Field

Description

private final MatrixStore<N>

LogicalStore.myBase

private final MatrixStore<N>

MatrixPipeline.ColumnsReducer.myBase

private final MatrixStore<N>

MatrixPipeline.RowsReducer.myBase

private final MatrixStore<N>

AboveBelowStore.myBelow

private final MatrixStore<N>

SuperimposedStore.myDiff

private final MatrixStore<N>

LeftRightStore.myRight

private final MatrixStore<N>

MatrixPipeline.Multiplication.myRight

Methods in org.ojalgo.matrix.store that return MatrixStore
Modifier and Type

Method

Description

default MatrixStore<N>

MatrixStore.above(long numberOfRows)

default MatrixStore<N>

MatrixStore.above(Access2D<N> matrix)

default MatrixStore<N>

MatrixStore.above(Access2D<N>... matrices)

default MatrixStore<N>

MatrixStore.add(double scalarAddend)

default MatrixStore<N>

MatrixStore.add(N scalarAddend)

default MatrixStore<N>

MatrixStore.add(MatrixStore<N> addend)

MatrixStore<N>

ZeroStore.add(MatrixStore<N> addend)

(package private) final MatrixStore<N>

LogicalStore.base()

default MatrixStore<N>

MatrixStore.below(long numberOfRows)

default MatrixStore<N>

MatrixStore.below(Access2D<N> matrix)

default MatrixStore<N>

MatrixStore.below(Access2D<N>... matrices)

default MatrixStore<N>

MatrixStore.bidiagonal(boolean upper)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.buildColumn(PhysicalStore.Factory<N,?> factory, long rowsCount, N... columnElements)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.buildColumn(PhysicalStore.Factory<N,?> factory, long rowsCount, Access2D<N> columnStore)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.buildColumn(PhysicalStore.Factory<N,?> factory, long rowsCount, Access2D<N>... columnStores)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.buildRow(PhysicalStore.Factory<N,?> factory, long colsCount, N... rowElements)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.buildRow(PhysicalStore.Factory<N,?> factory, long colsCount, Access2D<N> rowStore)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.buildRow(PhysicalStore.Factory<N,?> factory, long colsCount, Access2D<N>... rowStores)

(package private) static <N extends Comparable<N>> MatrixStore<N>

AbstractStore.cast(PhysicalStore.Factory<N,?> factory, Access2D<?> access)

default MatrixStore<N>

MatrixStore.column(int column)

default MatrixStore<N>

MatrixStore.column(long column)

MatrixStore<N>

ColumnsSupplier.columns(int... columns)

default MatrixStore<N>

MatrixStore.columns(int... columns)

A selection (re-ordering) of columns.

default MatrixStore<N>

MatrixStore.columns(long... columns)

MatrixStore<N>

ConjugatedStore.conjugate()

MatrixStore<N>

GenericStore.conjugate()

MatrixStore<N>

IdentityStore.conjugate()

default MatrixStore<N>

MatrixStore.conjugate()

Returns the conjugate transpose of this matrix.

MatrixStore<Double>

R032Store.conjugate()

MatrixStore<Double>

R064Store.conjugate()

MatrixStore<Double>

RawStore.conjugate()

MatrixStore<N>

SingleStore.conjugate()

MatrixStore<N>

ZeroStore.conjugate()

default MatrixStore<N>

MatrixStore.diagonal()

default MatrixStore<N>

MatrixStore.diagonally(Access2D<N>... diagonally)

default MatrixStore<N>

MatrixStore.divide(double scalarDivisor)

default MatrixStore<N>

MatrixStore.divide(N scalarDivisor)

MatrixStore<N>

GenericStore.get()

default MatrixStore<N>

MatrixStore.get()
Deprecated.
v50 No need as MatrixStore now implements

invalid reference

Logical

and this method simply return "this".
MatrixStore<Double>

R064Store.get()

MatrixStore<Double>

RawStore.get()

final MatrixStore<N>

TransjugatedStore.getOriginal()

default MatrixStore<N>

MatrixStore.hermitian(boolean upper)

default MatrixStore<N>

MatrixStore.hessenberg(boolean upper)

default MatrixStore<N>

MatrixStore.left(long numberOfColumns)

default MatrixStore<N>

MatrixStore.left(Access2D<N> matrix)

default MatrixStore<N>

MatrixStore.left(Access2D<N>... matrices)

default MatrixStore<N>

MatrixStore.limits(long rowLimit, long columnLimit)

Setting either limit to < 0 is interpreted as "no limit" (useful when you only want to limit either the rows or columns, and don't know the size of the other)

default MatrixStore<N>

MatrixStore.logical()
Deprecated.
v50 No need as MatrixStore now implements

invalid reference

Logical

.
default MatrixStore<N>

PhysicalStore.Factory.makeIdentity(long dimension)

default MatrixStore<N>

PhysicalStore.Factory.makeSingle(double element)

default MatrixStore<N>

PhysicalStore.Factory.makeSingle(N element)

default MatrixStore<N>

PhysicalStore.Factory.makeWrapper(Access2D<?> access)

default MatrixStore<N>

PhysicalStore.Factory.makeWrapperColumn(Access1D<?> access)

default MatrixStore<N>

PhysicalStore.Factory.makeZero(long rowsCount, long columnsCount)

default MatrixStore<N>

PhysicalStore.Factory.makeZero(Structure2D shape)

MatrixStore<N>

AboveBelowStore.multiply(double scalar)

MatrixStore<N>

AboveBelowStore.multiply(N scalar)

MatrixStore<N>

AboveBelowStore.multiply(MatrixStore<N> right)

MatrixStore<N>

ConjugatedStore.multiply(MatrixStore<N> right)

MatrixStore<N>

GenericStore.multiply(MatrixStore<N> right)

MatrixStore<N>

IdentityStore.multiply(double scalar)

MatrixStore<N>

IdentityStore.multiply(N scalar)

MatrixStore<N>

IdentityStore.multiply(MatrixStore<N> right)

MatrixStore<N>

LeftRightStore.multiply(double scalar)

MatrixStore<N>

LeftRightStore.multiply(N scalar)

MatrixStore<N>

LeftRightStore.multiply(MatrixStore<N> right)

default MatrixStore<N>

MatrixStore.multiply(double scalarMultiplicand)

default MatrixStore<N>

MatrixStore.multiply(N scalarMultiplicand)

default MatrixStore<N>

MatrixStore.multiply(MatrixStore<N> right)

MatrixStore<Double>

R032Store.multiply(MatrixStore<Double> right)

MatrixStore<Double>

R064Store.multiply(MatrixStore<Double> right)

MatrixStore<N>

SingleStore.multiply(double scalar)

MatrixStore<N>

SingleStore.multiply(N scalar)

MatrixStore<N>

SingleStore.multiply(MatrixStore<N> right)

MatrixStore<N>

SparseStore.multiply(double scalar)

MatrixStore<N>

SparseStore.multiply(N scalar)

MatrixStore<N>

SparseStore.multiply(MatrixStore<N> right)

MatrixStore<N>

SuperimposedStore.multiply(double scalar)

MatrixStore<N>

SuperimposedStore.multiply(N scalar)

MatrixStore<N>

SuperimposedStore.multiply(MatrixStore<N> right)

MatrixStore<N>

TransposedStore.multiply(MatrixStore<N> right)

default MatrixStore<N>

MatrixStore.negate()

default MatrixStore<N>

MatrixStore.offsets(long rowOffset, long columnOffset)

default MatrixStore<N>

MatrixStore.onAll(UnaryFunction<N> operator)

default MatrixStore<N>

MatrixStore.power(int power)

Multiply this matrix by itself power times.

MatrixStore<N>

LeftRightStore.premultiply(Access1D<N> left)

default MatrixStore<N>

MatrixStore.repeat(int rowsRepetitions, int columnsRepetitions)

default MatrixStore<N>

MatrixStore.right(long numberOfColumns)

default MatrixStore<N>

MatrixStore.right(Access2D<N> matrix)

default MatrixStore<N>

MatrixStore.right(Access2D<N>... matrices)

default MatrixStore<N>

MatrixStore.row(int row)

default MatrixStore<N>

MatrixStore.row(long row)

default MatrixStore<N>

MatrixStore.rows(int... rows)

A selection (re-ordering) of rows.

default MatrixStore<N>

MatrixStore.rows(long... rows)

MatrixStore<N>

RowsSupplier.rows(int... rows)

default MatrixStore<N>

MatrixStore.select(int[] rows, int[] columns)

default MatrixStore<N>

MatrixStore.select(long[] rows, long[] columns)

default MatrixStore<N>

MatrixStore.signum()

default MatrixStore<N>

MatrixStore.subtract(double scalarSubtrahend)

default MatrixStore<N>

MatrixStore.subtract(N scalarSubtrahend)

default MatrixStore<N>

MatrixStore.subtract(MatrixStore<N> subtrahend)

default MatrixStore<N>

MatrixStore.superimpose(long row, long col, Access2D<N> matrix)

default MatrixStore<N>

MatrixStore.superimpose(Access2D<N> matrix)

default MatrixStore<N>

MatrixStore.symmetric(boolean upper)

MatrixStore<N>

GenericStore.transpose()

MatrixStore<N>

IdentityStore.transpose()

default MatrixStore<N>

MatrixStore.transpose()

MatrixStore<N>

SingleStore.transpose()

MatrixStore<N>

TransposedStore.transpose()

MatrixStore<N>

ZeroStore.transpose()

default MatrixStore<N>

MatrixStore.triangular(boolean upper, boolean assumeOne)

default MatrixStore<N>

MatrixStore.tridiagonal()
Methods in org.ojalgo.matrix.store that return types with arguments of type MatrixStore

Modifier and Type

Method

Description

protected final Future<MatrixStore<N>>

LogicalStore.executeMultiply(double scalar)

protected final Future<MatrixStore<N>>

LogicalStore.executeMultiply(N scalar)

protected final Future<MatrixStore<N>>

LogicalStore.executeMultiply(MatrixStore<N> right)

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

Modifier and Type

Method

Description

default MatrixStore<N>

MatrixStore.add(MatrixStore<N> addend)

MatrixStore<N>

ZeroStore.add(MatrixStore<N> addend)

default boolean

MatrixStore.equals(MatrixStore<N> other, NumberContext context)

protected final Future<MatrixStore<N>>

LogicalStore.executeMultiply(MatrixStore<N> right)

MatrixStore<N>

AboveBelowStore.multiply(MatrixStore<N> right)

MatrixStore<N>

ConjugatedStore.multiply(MatrixStore<N> right)

MatrixStore<N>

GenericStore.multiply(MatrixStore<N> right)

MatrixStore<N>

IdentityStore.multiply(MatrixStore<N> right)

MatrixStore<N>

LeftRightStore.multiply(MatrixStore<N> right)

default MatrixStore<N>

MatrixStore.multiply(MatrixStore<N> right)

MatrixStore<Double>

R032Store.multiply(MatrixStore<Double> right)

MatrixStore<Double>

R064Store.multiply(MatrixStore<Double> right)

RawStore

RawStore.multiply(MatrixStore<Double> right)

MatrixStore<N>

SingleStore.multiply(MatrixStore<N> right)

MatrixStore<N>

SparseStore.multiply(MatrixStore<N> right)

MatrixStore<N>

SuperimposedStore.multiply(MatrixStore<N> right)

MatrixStore<N>

TransposedStore.multiply(MatrixStore<N> right)

ZeroStore<N>

ZeroStore.multiply(MatrixStore<N> right)

default MatrixStore<N>

MatrixStore.subtract(MatrixStore<N> subtrahend)

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

Modifier

Constructor

Description

(package private)

AboveBelowStore(MatrixStore<N> base, MatrixStore<N> below)

(package private)

ColumnsReducer(MatrixStore<N> base, Aggregator aggregator)

(package private)

ColumnsStore(MatrixStore<N> base, int[] columns)

protected

ComposingStore(MatrixStore<N> base, int rowsCount, int columnsCount)

protected

ComposingStore(MatrixStore<N> base, long rowsCount, long columnsCount)

(package private)

ConjugatedStore(MatrixStore<N> base)

(package private)

LeftRightStore(MatrixStore<N> base, MatrixStore<N> right)

(package private)

LimitStore(int rowsCount, int columnsCount, MatrixStore<N> base)

(package private)

LimitStore(long rowsCount, long columnsCount, MatrixStore<N> base)

protected

LogicalStore(MatrixStore<N> base, int rowsCount, int columnsCount)

protected

LogicalStore(MatrixStore<N> base, long rowsCount, long columnsCount)

(package private)

LowerHessenbergStore(MatrixStore<N> base)

(package private)

LowerSymmetricStore(MatrixStore<N> base, boolean hermitian)

(package private)

LowerTriangularStore(MatrixStore<N> base, boolean unitDiagonal)

(package private)

Multiplication(Access1D<N> left, MatrixStore<N> right)

(package private)

OffsetStore(MatrixStore<N> base, int rowOffset, int columnOffset)

(package private)

OffsetStore(MatrixStore<N> base, long rowOffset, long columnOffset)

(package private)

RepeatedColumnsStore(MatrixStore<N> base, int repetitions)

(package private)

RepeatedRowsStore(MatrixStore<N> base, int repetitions)

(package private)

RowsReducer(MatrixStore<N> base, Aggregator aggregator)

(package private)

RowsStore(MatrixStore<N> base, int... rows)

protected

SelectingStore(MatrixStore<N> base, int rowsCount, int columnsCount)

protected

SelectingStore(MatrixStore<N> base, long rowsCount, long columnsCount)

protected

ShadingStore(MatrixStore<N> base)

(package private)

SuperimposedStore(MatrixStore<N> base, long row, long col, MatrixStore<N> diff)

(package private)

SuperimposedStore(MatrixStore<N> base, MatrixStore<N> diff)

protected

TransjugatedStore(MatrixStore<N> base)

private

TransjugatedStore(MatrixStore<N> base, int rows, int columns)

(package private)

TransposedStore(MatrixStore<N> base)

(package private)

UnaryOperatoStore(MatrixStore<N> base, UnaryFunction<N> operator)

(package private)

UpperHessenbergStore(MatrixStore<N> base)

(package private)

UpperSymmetricStore(MatrixStore<N> base, boolean hermitian)

(package private)

UpperTriangularStore(MatrixStore<N> base, boolean unitDiagonal)
Uses of MatrixStore in org.ojalgo.matrix.task

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

Modifier and Type

Method

Description

final MatrixStore<Double>

AbstractInverter.invert(Access2D<?> original)

MatrixStore<N>

InverterTask.Factory.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.

MatrixStore<N>

SolverTask.Factory.solve(Access2D<?> body, Access2D<?> rhs)

[A][X]=[B] or [body][return]=[rhs]

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 that return types with arguments of type MatrixStore

Modifier and Type

Method

Description

default Provider2D.Inverse<Optional<MatrixStore<N>>>

InverterTask.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)

default Provider2D.Solution<Optional<MatrixStore<N>>>

SolverTask.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

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

Modifier and Type

Method

Description

final 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)

Method parameters in org.ojalgo.matrix.task with type arguments of type MatrixStore

Modifier and Type

Method

Description

default Provider2D.Determinant<N>

DeterminantTask.toDeterminantProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)

default Provider2D.Inverse<Optional<MatrixStore<N>>>

InverterTask.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)

default Provider2D.Solution<Optional<MatrixStore<N>>>

SolverTask.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)
Uses of MatrixStore in org.ojalgo.matrix.task.iterative

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

Modifier and Type

Method

Description

final MatrixStore<Double>

IterativeSolverTask.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

MatrixStore<Double>

MutableSolver.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> current)

Methods in org.ojalgo.matrix.task.iterative that return types with arguments of type MatrixStore

Modifier and Type

Method

Description

final Optional<MatrixStore<Double>>

IterativeSolverTask.solve(MatrixStore<Double> body, MatrixStore<Double> rhs)

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

Modifier and Type

Method

Description

final Optional<MatrixStore<Double>>

IterativeSolverTask.solve(MatrixStore<Double> body, MatrixStore<Double> rhs)
Uses of MatrixStore in org.ojalgo.matrix.transformation

Fields in org.ojalgo.matrix.transformation declared as MatrixStore

Modifier and Type

Field

Description

private final MatrixStore<N>

HouseholderColumn.myStore

private final MatrixStore<N>

HouseholderRow.myStore

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

Modifier and Type

Method

Description

static <N extends Comparable<N>> HouseholderReference<N>

HouseholderReference.make(MatrixStore<N> matrix, boolean column)

static <N extends Comparable<N>> HouseholderReference<N>

HouseholderReference.makeColumn(MatrixStore<N> matrix)

static <N extends Comparable<N>> HouseholderReference<N>

HouseholderReference.makeRow(MatrixStore<N> matrix)

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

Modifier

Constructor

Description

HouseholderColumn(MatrixStore<N> store)

HouseholderRow(MatrixStore<N> store)
Uses of MatrixStore in org.ojalgo.optimisation

Fields in org.ojalgo.optimisation declared as MatrixStore

Modifier and Type

Field

Description

private MatrixStore<Double>

GenericSolver.Builder.myBE

private MatrixStore<Double>

GenericSolver.Builder.myBI

Methods in org.ojalgo.optimisation that return MatrixStore

Modifier and Type

Method

Description

private static MatrixStore<Double>

GenericSolver.Builder.add(RowsSupplier<Double> baseA, MatrixStore<Double> baseB, Access2D<?> addA, Access1D<?> addB)

MatrixStore<Double>

Expression.getAdjustedGradient(Access1D<?> point)

MatrixStore<Double>

Expression.getAdjustedHessian()

protected MatrixStore<Double>

GenericSolver.Builder.getAE()

Equality constraints body: [AE][X] == [BE]

protected MatrixStore<Double>

GenericSolver.Builder.getAI()

Inequality constraints body: [AI][X] invalid input: '<'= [BI]

protected MatrixStore<Double>

GenericSolver.Builder.getBE()

Equality constraints RHS: [AE][X] == [BE]

protected MatrixStore<Double>

GenericSolver.Builder.getBI()

Inequality constraints RHS: [AI][X] invalid input: '<'= [BI]

protected MatrixStore<Double>

GenericSolver.Builder.getC()

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

Modifier and Type

Method

Description

private static MatrixStore<Double>

GenericSolver.Builder.add(RowsSupplier<Double> baseA, MatrixStore<Double> baseB, Access2D<?> addA, Access1D<?> addB)

(package private) void

GenericSolver.Builder.addEqualities(MatrixStore<?> mtrxAE, MatrixStore<?> mtrxBE)

(package private) void

GenericSolver.Builder.addInequalities(MatrixStore<?> mtrxAI, MatrixStore<?> mtrxBI)

protected static final void

GenericSolver.Builder.append(StringBuilder builder, String label, MatrixStore<Double> matrix)
Uses of MatrixStore in org.ojalgo.optimisation.convex

Fields in org.ojalgo.optimisation.convex declared as MatrixStore

Modifier and Type

Field

Description

private MatrixStore<Double>

ActiveSetSolver.myInvQC

private final MatrixStore<Double>

NullSpaceProjection.myX0

private final MatrixStore<Double>

NullSpaceProjection.myZ

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

Modifier and Type

Method

Description

protected MatrixStore<Double>

ActiveSetSolver.extractSolution()

protected MatrixStore<Double>

BasePrimitiveSolver.extractSolution()

MatrixStore<N>

ConvexData.getBE()

Equality constraints RHS: [AE][X] == [BE]

MatrixStore<N>

ConvexData.getBI()

Inequality constraints RHS: [AI][X] invalid input: '<'= [BI]

MatrixStore<N>

ConvexObjectiveFunction.getGradient(Access1D<N> point)

MatrixStore<N>

ConvexObjectiveFunction.getHessian(Access1D<N> point)

(package private) MatrixStore<Double>

ActiveSetSolver.getInvQC()

(package private) MatrixStore<Double>

ActiveSetSolver.getIterationA()

(package private) abstract MatrixStore<Double>

ConstrainedSolver.getIterationA()

(package private) MatrixStore<Double>

QPESolver.getIterationA()

(package private) MatrixStore<Double>

ActiveSetSolver.getIterationB()

(package private) abstract MatrixStore<Double>

ConstrainedSolver.getIterationB()

(package private) MatrixStore<Double>

QPESolver.getIterationB()

(package private) MatrixStore<Double>

ActiveSetSolver.getIterationC()

(package private) abstract MatrixStore<Double>

ConstrainedSolver.getIterationC()

(package private) MatrixStore<Double>

QPESolver.getIterationC()

protected MatrixStore<Double>

UnconstrainedSolver.getIterationKKT()

(package private) MatrixStore<Double>

ConstrainedSolver.getIterationL(int[] included)

protected MatrixStore<Double>

UnconstrainedSolver.getIterationRHS()

MatrixStore<N>

ConvexObjectiveFunction.getLinearFactors(boolean negated)

protected MatrixStore<Double>

BasePrimitiveSolver.getMatrixAE()

protected MatrixStore<Double>

BasePrimitiveSolver.getMatrixAI()

protected MatrixStore<Double>

BasePrimitiveSolver.getMatrixBE()

protected MatrixStore<Double>

BasePrimitiveSolver.getMatrixBI()

protected MatrixStore<Double>

BasePrimitiveSolver.getMatrixBI(int[] selector)

protected MatrixStore<Double>

BasePrimitiveSolver.getMatrixC()

(package private) MatrixStore<Double>

ActiveSetSolver.getSlackI(int[] rows)

protected MatrixStore<Double>

BasePrimitiveSolver.getSolutionGeneral(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs)

protected MatrixStore<Double>

BasePrimitiveSolver.getSolutionGeneral(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)

protected MatrixStore<Double>

BasePrimitiveSolver.getSolutionQ(Access2D.Collectable<Double, ? super PhysicalStore<Double>> rhs)

protected MatrixStore<Double>

BasePrimitiveSolver.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

Description

(package private) static ConvexSolver.Builder

BasePrimitiveSolver.builder(MatrixStore<Double>[] matrices)

private static Optimisation.Result

IterativeRefinementSolver.buildResult(MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> x, MatrixStore<Quadruple> y, Optimisation.State state)

private static Optimisation.Result

IterativeRefinementSolverDouble.buildResult(MatrixStore<Double> Q0, MatrixStore<Double> C0, MatrixStore<Double> x0, MatrixStore<Double> y0, Optimisation.State state)

private static Optimisation.Result

IterativeRefinementSolverDouble.doIteration(MatrixStore<Double> H, MatrixStore<Double> g, MatrixStore<Double> AE, MatrixStore<Double> BE, MatrixStore<Double> AI, MatrixStore<Double> BI, Optimisation.Options options, Optimisation.Result startValue)

(package private) static Optimisation.Result

IterativeRefinementSolver.doSolve(MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Ae, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Ai, MatrixStore<Quadruple> Bi, Optimisation.Options options)

(package private) static Optimisation.Result

IterativeRefinementSolver2.doSolve(MatrixStore<Quadruple> modQ, MatrixStore<Quadruple> modC, MatrixStore<Quadruple> modAE, MatrixStore<Quadruple> modBE, MatrixStore<Quadruple> modAI, MatrixStore<Quadruple> modBI, Optimisation.Options options)

(package private) static Optimisation.Result

IterativeRefinementSolverDouble.doSolve(MatrixStore<Double> Q_in, MatrixStore<Double> C_in, MatrixStore<Double> ae_in, MatrixStore<Double> be_in, MatrixStore<Double> ai_in, MatrixStore<Double> bi_in, Optimisation.Options options)

private static ConvexData<Double>

IterativeRefinementSolver.getDoubleConvexData(ConvexData<Double> data, MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Ae, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Ai, MatrixStore<Quadruple> Bi)

ConvexSolver.Builder

ConvexSolver.Builder.objective(MatrixStore<?> mtrxQ, MatrixStore<?> mtrxC)

(package private) static ConvexSolver

BasePrimitiveSolver.of(MatrixStore<Double>[] matrices)

(package private) static ConvexObjectiveFunction<Double>

BasePrimitiveSolver.toObjectiveFunction(MatrixStore<?> mtrxQ, MatrixStore<?> mtrxC)

private static void

IterativeRefinementSolver.updateConvexDoubleData(ConvexData<Double> data, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Bi)

private static void

IterativeRefinementSolver.updateConvexDoubleData(ConvexData<Double> data, MatrixStore<Quadruple> Q, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Bi)

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

Modifier

Constructor

Description

(package private)

Builder(MatrixStore<Double>[] matrices)

(package private)

NullSpaceProjection(ConvexData<Double> original, QR<Double> decomposition, MatrixStore<Double> Z, MatrixStore<Double> x0)
Uses of MatrixStore in org.ojalgo.optimisation.integer

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

Modifier and Type

Method

Description

protected MatrixStore<Double>

IntegerSolver.extractSolution()
Uses of MatrixStore in org.ojalgo.optimisation.linear

Fields in org.ojalgo.optimisation.linear declared as MatrixStore

Modifier and Type

Field

Description

private final MatrixStore<Double>

RevisedStore.myBasis

Current basis matrix B (columns of constraint matrix for basic variables).

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

Modifier and Type

Method

Description

private void

RevisedStore.doExclTranspMult(MatrixStore<Double> lambda, PhysicalStore<Double> results)

LinearSolver.Builder

LinearSolver.Builder.objective(MatrixStore<Double> mtrxC)

void

BasisRepresentation.reset(MatrixStore<Double> basis)

Until this has been called there is an implicit assumption that the basis is the identity matrix.

void

DecomposedInverse.reset(MatrixStore<Double> basis)

Completely rebuilds the decomposition from the given basis matrix.

void

ProductFormInverse.reset(MatrixStore<Double> basis)

Update the product form inverse to reflect a replaced column.

(package private) static LinearFunction<Double>

LinearSolver.toObjectiveFunction(MatrixStore<Double> mtrxC)

void

BasisRepresentation.update(MatrixStore<Double> basis, int col, SparseArray<Double> values)

Update the inverse to reflect a replaced column in the basis.

void

DecomposedInverse.update(MatrixStore<Double> basis, int col, SparseArray<Double> values)

Updates the decomposition to reflect a change in the basis matrix.

void

ProductFormInverse.update(MatrixStore<Double> basis, int col, SparseArray<Double> values)

Update the inverse to reflect a replaced column in the basis.
Uses of MatrixStore in org.ojalgo.random

Fields in org.ojalgo.random declared as MatrixStore

Modifier and Type

Field

Description

private final MatrixStore<Double>

Random1D.myCholeskiedCorrelations
Uses of MatrixStore in org.ojalgo.random.process

Methods in org.ojalgo.random.process that return MatrixStore

Modifier and Type

Method

Description

(package private) MatrixStore<Double>

GaussianField.getC11(K[] args)

(package private) MatrixStore<Double>

GaussianField.getC12(K[] args)

(package private) MatrixStore<Double>

GaussianField.getC21(K[] args)

(package private) MatrixStore<Double>

GaussianProcess.getCovariances()

(package private) MatrixStore<Double>

GaussianField.getM1(K[] args)

(package private) MatrixStore<Double>

GaussianField.getM2()

(package private) MatrixStore<Double>

GaussianField.getM2differenses()

(package private) MatrixStore<Double>

GaussianField.getRegressionCoefficients(K[] args)
Uses of MatrixStore in org.ojalgo.scalar

Methods in org.ojalgo.scalar that return MatrixStore

Modifier and Type

Method

Description

MatrixStore<ComplexNumber>

Quaternion.toComplexMatrix()

MatrixStore<Double>

ComplexNumber.toMultiplicationMatrix()

MatrixStore<Double>

Quaternion.toMultiplicationMatrix()

MatrixStore<Double>

ComplexNumber.toMultiplicationVector()

MatrixStore<Double>

Quaternion.toMultiplicationVector()

MatrixStore<Double>

ComplexNumber.toRotationMatrix()

MatrixStore<Double>

Quaternion.toRotationMatrix()

(package private) MatrixStore<Double>

Quaternion.toRotationMatrixVersor()
Uses of MatrixStore in org.ojalgo.series.primitive

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

Modifier and Type

Method

Description

MatrixStore<Double>

CoordinatedSet.getSamples()

MatrixStore<Double>

CoordinatedSet.getSamples(UnaryOperator<PrimitiveSeries> operator)

Uses of Interfaceorg.ojalgo.matrix.store.MatrixStore

Uses of MatrixStore in org.ojalgo.ann

Uses of MatrixStore in org.ojalgo.data.image

Uses of MatrixStore in org.ojalgo.data.transform

Uses of MatrixStore in org.ojalgo.function.multiary

Uses of MatrixStore in org.ojalgo.matrix

Uses of MatrixStore in org.ojalgo.matrix.decomposition

Uses of MatrixStore in org.ojalgo.matrix.store

Uses of MatrixStore in org.ojalgo.matrix.task

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

Uses of MatrixStore in org.ojalgo.matrix.transformation

Uses of MatrixStore in org.ojalgo.optimisation

Uses of MatrixStore in org.ojalgo.optimisation.convex

Uses of MatrixStore in org.ojalgo.optimisation.integer

Uses of MatrixStore in org.ojalgo.optimisation.linear

Uses of MatrixStore in org.ojalgo.random

Uses of MatrixStore in org.ojalgo.random.process

Uses of MatrixStore in org.ojalgo.scalar

Uses of MatrixStore in org.ojalgo.series.primitive

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