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

Packages that use MatrixStore

Package	Description
org.ojalgo.ann
org.ojalgo.data.image
org.ojalgo.data.transform
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.random
org.ojalgo.random.process
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	Description
(package private) MatrixStore<java.lang.Double>	CalculationLayer.getLogicalWeights()
MatrixStore<java.lang.Double>	NetworkInvoker.invoke(Access1D<java.lang.Double> input)	The input argument is typed as Access1D which essentially means it can be anything.
(package private) MatrixStore<java.lang.Double>	WrappedANN.invoke(Access1D<java.lang.Double> input, TrainingConfiguration configuration)

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

Modifier and Type	Method	Description
(package private) java.util.List<MatrixStore<java.lang.Double>>	ArtificialNeuralNetwork.getWeights()
(package private) java.util.List<MatrixStore<java.lang.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 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

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.
MatrixStore<ComplexNumber>	DiscreteFourierTransform.inverse(Access1D<ComplexNumber> input)
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.inverse2D(MatrixStore<?> input)
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.sample(java.util.function.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 java.lang.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)
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 java.lang.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 MatrixStore<N>	AffineFunction.myCoefficients
private MatrixStore<N>	LinearFunction.myCoefficients
private 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

Constructor	Description
AffineFunction(MatrixStore<N> coefficients)
LinearFunction(MatrixStore<N> coefficients)
PureQuadraticFunction(MatrixStore<N> coefficients)
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<java.util.Optional<MatrixStore<N>>>	BasicMatrix.getInverseProvider(boolean safe)
private Provider2D.Solution<java.util.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<java.lang.Double> store)
(package private) MatrixR032	MatrixR032.SparseReceiver.instantiate(MatrixStore<java.lang.Double> store)
(package private) MatrixR064	MatrixR064.DenseReceiver.instantiate(MatrixStore<java.lang.Double> store)
(package private) MatrixR064	MatrixR064.SparseReceiver.instantiate(MatrixStore<java.lang.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 java.lang.Comparable<N>>	Only classes that will act as a delegate to a MatrixDecomposition implementation from this package should implement this interface.

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<java.lang.Double>	RawEigenvalue.myD
private MatrixStore<N>	DenseSingularValue.myInverse
private MatrixStore<N>	HermitianEvD.myInverse
private MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.myInverse
private MatrixStore<java.lang.Double>	RawSingularValue.myInverse
private MatrixStore<N>	DenseSingularValue.myS
private MatrixStore<N>	HermitianEvD.myS
private MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.myS
private MatrixStore<N>	DenseSingularValue.myU
private MatrixStore<N>	HermitianEvD.myU
private MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.myU
private MatrixStore<N>	DenseEigenvalue.myV
private MatrixStore<N>	DenseSingularValue.myV
private MatrixStore<java.lang.Double>	RawEigenvalue.myV

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

Modifier and Type	Method	Description
(package private) MatrixStore<N>	AbstractDecomposition.collect(Access2D.Collectable<N,? super M> source)
private MatrixStore<java.lang.Double>	RawCholesky.doGetInverse(PhysicalStore<java.lang.Double> preallocated)
private MatrixStore<java.lang.Double>	RawLU.doGetInverse(PhysicalStore<java.lang.Double> preallocated)
private MatrixStore<java.lang.Double>	RawQR.doGetInverse(R064Store preallocated)	Makes no use of preallocated at all.
private MatrixStore<java.lang.Double>	RawCholesky.doSolve(PhysicalStore<java.lang.Double> preallocated)
private MatrixStore<java.lang.Double>	RawLU.doSolve(PhysicalStore<java.lang.Double> preallocated)
private MatrixStore<java.lang.Double>	RawQR.doSolve(R064Store preallocated)
MatrixStore<N>	DenseSingularValue.getCovariance()
MatrixStore<N>	HermitianEvD.getCovariance()
MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.getCovariance()
MatrixStore<java.lang.Double>	RawSingularValue.getCovariance()
MatrixStore<N>	SingularValue.getCovariance()
MatrixStore<N>	Bidiagonal.getD()
MatrixStore<N>	DenseBidiagonal.getD()
MatrixStore<N>	DenseEigenvalue.getD()
MatrixStore<N>	DenseLDL.getD()
MatrixStore<N>	DenseSingularValue.getD()	Deprecated. Use DenseSingularValue.getS() instead
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<java.lang.Double>	RawEigenvalue.getD()	Return the block diagonal eigenvalue matrix
MatrixStore<java.lang.Double>	RawSingularValue.getD()	Deprecated. Use RawSingularValue.getS() instead
MatrixStore<N>	SingularValue.getD()	Deprecated. Use SingularValue.getS() instead
MatrixStore<java.lang.Double>	SparseQDLDL.getD()
MatrixStore<N>	Tridiagonal.getD()
default MatrixStore<ComplexNumber>	Eigenvalue.getEigenvectors()
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<java.lang.Double>	RawCholesky.getInverse(PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.getInverse()
MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.getInverse(PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawLU.getInverse(PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawQR.getInverse(PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawSingularValue.getInverse()
MatrixStore<java.lang.Double>	RawSingularValue.getInverse(PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	SparseLU.getInverse(PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	SparseQDLDL.getInverse(PhysicalStore<java.lang.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<java.lang.Double>	RawCholesky.getL()
MatrixStore<java.lang.Double>	RawLU.getL()
MatrixStore<java.lang.Double>	SparseLU.getL()
MatrixStore<java.lang.Double>	SparseQDLDL.getL()
MatrixStore<N>	Bidiagonal.getLQ()
MatrixStore<N>	DenseBidiagonal.getLQ()
MatrixStore<N>	DenseHessenberg.getQ()
MatrixStore<N>	DenseQR.getQ()
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<java.lang.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<java.lang.Double>	RawEigenvalue.Symmetric.getS()
MatrixStore<java.lang.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<java.lang.Double>	RawCholesky.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawLU.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawQR.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawSingularValue.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	SparseLU.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	SparseQDLDL.getSolution(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.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<java.lang.Double>	RawEigenvalue.Symmetric.getU()
MatrixStore<java.lang.Double>	RawLU.getU()
MatrixStore<java.lang.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<java.lang.Double>	SparseLU.getU()	If SparseLU.updateColumn(int, Access1D.Collectable) or #updateColumn(int, Access1D.Collectable, PhysicalStore) has been invoked, then this is no longer guaranteed to be triangular.
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<java.lang.Double>	RawEigenvalue.getV()	Return the eigenvector matrix
MatrixStore<java.lang.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<java.lang.Double>	RawCholesky.invert(Access2D<?> original, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.invert(Access2D<?> original, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawLU.invert(Access2D<?> original, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawQR.invert(Access2D<?> original, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawSingularValue.invert(Access2D<?> original, PhysicalStore<java.lang.Double> preallocated)
static <N extends java.lang.Comparable<N>> MatrixStore<N>	SingularValue.invert(SingularValue<N> decomposition, PhysicalStore<N> preallocated)
MatrixStore<java.lang.Double>	SparseLU.invert(Access2D<?> original, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	SparseQDLDL.invert(Access2D<?> original, PhysicalStore<java.lang.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 MatrixStore<N>	GeneralEvD.makeD()
protected MatrixStore<N>	GeneralisedEvD.makeD()
protected MatrixStore<N>	HermitianEvD.makeD()
protected MatrixStore<java.lang.Double>	RawEigenvalue.makeD(double[] d, double[] e)
protected MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.makeD(double[] d, double[] e)
(package private) MatrixStore<java.lang.Double>	SimultaneousTridiagonal.makeD()
(package private) MatrixStore<N>	AbstractDecomposition.makeIdentity(int dimension)
protected 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 java.lang.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<java.lang.Double>	RawEigenvalue.Symmetric.reconstruct()
default MatrixStore<N>	SingularValue.reconstruct()
default MatrixStore<N>	SingularValue.reconstruct(int k)
static <N extends java.lang.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<java.lang.Double>	RawCholesky.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawEigenvalue.Symmetric.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawLU.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawQR.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	RawSingularValue.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
static <N extends java.lang.Comparable<N>> MatrixStore<N>	SingularValue.solve(SingularValue<N> decomposition, MatrixStore<N> rhs, PhysicalStore<N> preallocated)
MatrixStore<java.lang.Double>	SparseLU.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	SparseQDLDL.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
(package private) 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 java.util.Optional<MatrixStore<N>>	MatrixDecomposition.Solver.invert()
default java.util.Optional<MatrixStore<N>>	MatrixDecomposition.Solver.solve(Access2D<?> rhs)
default Provider2D.Inverse<java.util.Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toInverseProvider(ElementsSupplier<N> original, java.util.function.Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<java.util.Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toSolutionProvider(ElementsSupplier<N> body, java.util.function.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<java.lang.Double> matrix)
static <N extends java.lang.Comparable<N>> boolean	Bidiagonal.equals(MatrixStore<N> matrix, Bidiagonal<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	Cholesky.equals(MatrixStore<N> matrix, Cholesky<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	Eigenvalue.equals(MatrixStore<N> matrix, Eigenvalue<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	Hessenberg.equals(MatrixStore<N> matrix, Hessenberg<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	LDL.equals(MatrixStore<N> matrix, LDL<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	LU.equals(MatrixStore<N> matrix, LU<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	QR.equals(MatrixStore<N> matrix, QR<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	SingularValue.equals(MatrixStore<N> matrix, SingularValue<N> decomposition, NumberContext context)
static <N extends java.lang.Comparable<N>> boolean	Tridiagonal.equals(MatrixStore<N> matrix, Tridiagonal<N> decomposition, NumberContext context)
(package private) MatrixStore<N>	GeneralisedEvD.recover(MatrixStore<N> reduced)
(package private) void	DenseEigenvalue.setD(MatrixStore<N> newD)
(package private) 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 java.lang.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, java.util.function.Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Inverse<java.util.Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toInverseProvider(ElementsSupplier<N> original, java.util.function.Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<java.util.Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toSolutionProvider(ElementsSupplier<N> body, java.util.function.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 java.lang.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) class	AboveBelowStore<N extends java.lang.Comparable<N>>	A merger of two MatrixStore instances by placing one store below the other.
(package private) class	AbstractStore<N extends java.lang.Comparable<N>>
(package private) class	ColumnsStore<N extends java.lang.Comparable<N>>	A selection (re-ordering) of columns.
class	ColumnsSupplier<N extends java.lang.Comparable<N>>	Sparse columns – columns can be added and removed.
(package private) class	ComposingStore<N extends java.lang.Comparable<N>>
(package private) class	CompressedSparseR064
(package private) class	ConjugatedStore<N extends java.lang.Comparable<N>>	ConjugatedStore
class	DiagonalStore<N extends java.lang.Comparable<N>,D extends Access1D<?>>
(package private) class	FactoryStore<N extends java.lang.Comparable<N>>
class	GenericStore<N extends Scalar<N>>	A generic implementation of PhysicalStore.
(package private) class	IdentityStore<N extends java.lang.Comparable<N>>	IdentityStore
(package private) class	LeftRightStore<N extends java.lang.Comparable<N>>	A merger of two MatrixStore instances by placing one store to the right of the other.
(package private) class	LimitStore<N extends java.lang.Comparable<N>>
(package private) class	LogicalStore<N extends java.lang.Comparable<N>>	Logical stores are (intended to be) immutable.
(package private) class	LowerHessenbergStore<N extends java.lang.Comparable<N>>	A Hessenberg matrix is one that is "almost" triangular.
(package private) class	LowerSymmetricStore<N extends java.lang.Comparable<N>>
(package private) class	LowerTriangularStore<N extends java.lang.Comparable<N>>
(package private) class	OffsetStore<N extends java.lang.Comparable<N>>
class	R032Store	A float implementation of PhysicalStore.
class	R064CSC	A compressed sparse column (CSC) matrix store implementation for double precision values.
class	R064CSR	A compressed sparse row (CSR) matrix store implementation for double precision values.
class	R064Store	A double implementation of PhysicalStore.
class	RawStore	Uses double[][] internally.
(package private) class	RepeatedColumnsStore<N extends java.lang.Comparable<N>>
(package private) class	RepeatedRowsStore<N extends java.lang.Comparable<N>>
(package private) class	RowsStore<N extends java.lang.Comparable<N>>	A selection (re-ordering) of rows.
class	RowsSupplier<N extends java.lang.Comparable<N>>	Sparse rows – rows can be added and removed.
(package private) class	SelectingStore<N extends java.lang.Comparable<N>>	Selects (rearranges) existing rows and/or columns.
(package private) class	ShadingStore<N extends java.lang.Comparable<N>>	Does not change the matrix size/shape, but applies some structure to the elements.
(package private) class	SingleStore<N extends java.lang.Comparable<N>>
class	SparseStore<N extends java.lang.Comparable<N>>	A sparse matrix (this implementation) is not thread safe.
(package private) class	SuperimposedStore<N extends java.lang.Comparable<N>>	SuperimposedStore
(package private) class	TransjugatedStore<N extends java.lang.Comparable<N>>
(package private) class	TransposedStore<N extends java.lang.Comparable<N>>
(package private) class	UnaryOperatoStore<N extends java.lang.Comparable<N>>
(package private) class	UpperHessenbergStore<N extends java.lang.Comparable<N>>	A Hessenberg matrix is one that is "almost" triangular.
(package private) class	UpperSymmetricStore<N extends java.lang.Comparable<N>>
(package private) class	UpperTriangularStore<N extends java.lang.Comparable<N>>
(package private) class	WrapperStore<N extends java.lang.Comparable<N>>
(package private) class	ZeroStore<N extends java.lang.Comparable<N>>	ZeroStore

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

Modifier and Type	Field	Description
private MatrixStore<N>	LogicalStore.myBase
private MatrixStore<N>	MatrixPipeline.ColumnsReducer.myBase
private MatrixStore<N>	MatrixPipeline.RowsReducer.myBase
private MatrixStore<N>	AboveBelowStore.myBelow
private MatrixStore<N>	SuperimposedStore.myDiff
private MatrixStore<N>	LeftRightStore.myRight
private 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) 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 java.lang.Comparable<N>> MatrixStore<N>	AbstractStore.buildColumn(PhysicalStore.Factory<N,?> factory, long rowsCount, N... columnElements)
(package private) static <N extends java.lang.Comparable<N>> MatrixStore<N>	AbstractStore.buildColumn(PhysicalStore.Factory<N,?> factory, long rowsCount, Access2D<N> columnStore)
(package private) static <N extends java.lang.Comparable<N>> MatrixStore<N>	AbstractStore.buildColumn(PhysicalStore.Factory<N,?> factory, long rowsCount, Access2D<N>... columnStores)
(package private) static <N extends java.lang.Comparable<N>> MatrixStore<N>	AbstractStore.buildRow(PhysicalStore.Factory<N,?> factory, long colsCount, N... rowElements)
(package private) static <N extends java.lang.Comparable<N>> MatrixStore<N>	AbstractStore.buildRow(PhysicalStore.Factory<N,?> factory, long colsCount, Access2D<N> rowStore)
(package private) static <N extends java.lang.Comparable<N>> MatrixStore<N>	AbstractStore.buildRow(PhysicalStore.Factory<N,?> factory, long colsCount, Access2D<N>... rowStores)
(package private) static <N extends java.lang.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<java.lang.Double>	R032Store.conjugate()
MatrixStore<java.lang.Double>	R064Store.conjugate()
MatrixStore<java.lang.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 Logical and this method simply return "this".
MatrixStore<java.lang.Double>	R064Store.get()
MatrixStore<java.lang.Double>	RawStore.get()
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 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<java.lang.Double>	R032Store.multiply(MatrixStore<java.lang.Double> right)
MatrixStore<java.lang.Double>	R064Store.multiply(MatrixStore<java.lang.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 java.util.concurrent.Future<MatrixStore<N>>	LogicalStore.executeMultiply(double scalar)
protected java.util.concurrent.Future<MatrixStore<N>>	LogicalStore.executeMultiply(N scalar)
protected java.util.concurrent.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 java.util.concurrent.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<java.lang.Double>	R032Store.multiply(MatrixStore<java.lang.Double> right)
MatrixStore<java.lang.Double>	R064Store.multiply(MatrixStore<java.lang.Double> right)
RawStore	RawStore.multiply(MatrixStore<java.lang.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

Constructor	Description
AboveBelowStore(MatrixStore<N> base, MatrixStore<N> below)
ColumnsReducer(MatrixStore<N> base, Aggregator aggregator)
ColumnsStore(MatrixStore<N> base, int[] columns)
ComposingStore(MatrixStore<N> base, int rowsCount, int columnsCount)
ComposingStore(MatrixStore<N> base, long rowsCount, long columnsCount)
ConjugatedStore(MatrixStore<N> base)
LeftRightStore(MatrixStore<N> base, MatrixStore<N> right)
LimitStore(int rowsCount, int columnsCount, MatrixStore<N> base)
LimitStore(long rowsCount, long columnsCount, MatrixStore<N> base)
LogicalStore(MatrixStore<N> base, int rowsCount, int columnsCount)
LogicalStore(MatrixStore<N> base, long rowsCount, long columnsCount)
LowerHessenbergStore(MatrixStore<N> base)
LowerSymmetricStore(MatrixStore<N> base, boolean hermitian)
LowerTriangularStore(MatrixStore<N> base, boolean unitDiagonal)
Multiplication(Access1D<N> left, MatrixStore<N> right)
OffsetStore(MatrixStore<N> base, int rowOffset, int columnOffset)
OffsetStore(MatrixStore<N> base, long rowOffset, long columnOffset)
RepeatedColumnsStore(MatrixStore<N> base, int repetitions)
RepeatedRowsStore(MatrixStore<N> base, int repetitions)
RowsReducer(MatrixStore<N> base, Aggregator aggregator)
RowsStore(MatrixStore<N> base, int... rows)
SelectingStore(MatrixStore<N> base, int rowsCount, int columnsCount)
SelectingStore(MatrixStore<N> base, long rowsCount, long columnsCount)
ShadingStore(MatrixStore<N> base)
SuperimposedStore(MatrixStore<N> base, long row, long col, MatrixStore<N> diff)
SuperimposedStore(MatrixStore<N> base, MatrixStore<N> diff)
TransjugatedStore(MatrixStore<N> base)
TransjugatedStore(MatrixStore<N> base, int rows, int columns)
TransposedStore(MatrixStore<N> base)
UnaryOperatoStore(MatrixStore<N> base, UnaryFunction<N> operator)
UpperHessenbergStore(MatrixStore<N> base)
UpperSymmetricStore(MatrixStore<N> base, boolean hermitian)
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
MatrixStore<java.lang.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<java.util.Optional<MatrixStore<N>>>	InverterTask.toInverseProvider(ElementsSupplier<N> original, java.util.function.Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<java.util.Optional<MatrixStore<N>>>	SolverTask.toSolutionProvider(ElementsSupplier<N> body, java.util.function.Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

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

Modifier and Type	Method	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)

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, java.util.function.Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Inverse<java.util.Optional<MatrixStore<N>>>	InverterTask.toInverseProvider(ElementsSupplier<N> original, java.util.function.Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<java.util.Optional<MatrixStore<N>>>	SolverTask.toSolutionProvider(ElementsSupplier<N> body, java.util.function.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
MatrixStore<java.lang.Double>	IterativeSolverTask.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> preallocated)
MatrixStore<java.lang.Double>	MutableSolver.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<java.lang.Double> current)

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

Modifier and Type	Method	Description
java.util.Optional<MatrixStore<java.lang.Double>>	IterativeSolverTask.solve(MatrixStore<java.lang.Double> body, MatrixStore<java.lang.Double> rhs)

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

Modifier and Type	Method	Description
java.util.Optional<MatrixStore<java.lang.Double>>	IterativeSolverTask.solve(MatrixStore<java.lang.Double> body, MatrixStore<java.lang.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 MatrixStore<N>	HouseholderColumn.myStore
private MatrixStore<N>	HouseholderRow.myStore

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

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

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

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<java.lang.Double>	GenericSolver.Builder.myBE
private MatrixStore<java.lang.Double>	GenericSolver.Builder.myBI

Methods in org.ojalgo.optimisation that return MatrixStore

Modifier and Type	Method	Description
private static MatrixStore<java.lang.Double>	GenericSolver.Builder.add(RowsSupplier<java.lang.Double> baseA, MatrixStore<java.lang.Double> baseB, Access2D<?> addA, Access1D<?> addB)
MatrixStore<java.lang.Double>	Expression.getAdjustedGradient(Access1D<?> point)
MatrixStore<java.lang.Double>	Expression.getAdjustedHessian()
protected MatrixStore<java.lang.Double>	GenericSolver.Builder.getAE()	Equality constraints body: [AE][X] == [BE]
protected MatrixStore<java.lang.Double>	GenericSolver.Builder.getAI()	Inequality constraints body: [AI][X] <= [BI]
protected MatrixStore<java.lang.Double>	GenericSolver.Builder.getBE()	Equality constraints RHS: [AE][X] == [BE]
protected MatrixStore<java.lang.Double>	GenericSolver.Builder.getBI()	Inequality constraints RHS: [AI][X] <= [BI]
protected MatrixStore<java.lang.Double>	GenericSolver.Builder.getC()

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

Modifier and Type	Method	Description
private static MatrixStore<java.lang.Double>	GenericSolver.Builder.add(RowsSupplier<java.lang.Double> baseA, MatrixStore<java.lang.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 void	GenericSolver.Builder.append(java.lang.StringBuilder builder, java.lang.String label, MatrixStore<java.lang.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<java.lang.Double>	ActiveSetSolver.myInvQC
private MatrixStore<java.lang.Double>	NullSpaceProjection.myX0
private MatrixStore<java.lang.Double>	NullSpaceProjection.myZ

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

Modifier and Type	Method	Description
protected MatrixStore<java.lang.Double>	ActiveSetSolver.extractSolution()
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.extractSolution()
MatrixStore<N>	ConvexData.getBE()	Equality constraints RHS: [AE][X] == [BE]
MatrixStore<N>	ConvexData.getBI()	Inequality constraints RHS: [AI][X] <= [BI]
MatrixStore<N>	ConvexObjectiveFunction.getGradient(Access1D<N> point)
MatrixStore<N>	ConvexObjectiveFunction.getHessian(Access1D<N> point)
(package private) MatrixStore<java.lang.Double>	ActiveSetSolver.getInvQC()
(package private) MatrixStore<java.lang.Double>	ActiveSetSolver.getIterationA()
(package private) abstract MatrixStore<java.lang.Double>	ConstrainedSolver.getIterationA()
(package private) MatrixStore<java.lang.Double>	QPESolver.getIterationA()
(package private) MatrixStore<java.lang.Double>	ActiveSetSolver.getIterationB()
(package private) abstract MatrixStore<java.lang.Double>	ConstrainedSolver.getIterationB()
(package private) MatrixStore<java.lang.Double>	QPESolver.getIterationB()
(package private) MatrixStore<java.lang.Double>	ActiveSetSolver.getIterationC()
(package private) abstract MatrixStore<java.lang.Double>	ConstrainedSolver.getIterationC()
(package private) MatrixStore<java.lang.Double>	QPESolver.getIterationC()
protected MatrixStore<java.lang.Double>	UnconstrainedSolver.getIterationKKT()
(package private) MatrixStore<java.lang.Double>	ConstrainedSolver.getIterationL(int[] included)
protected MatrixStore<java.lang.Double>	UnconstrainedSolver.getIterationRHS()
MatrixStore<N>	ConvexObjectiveFunction.getLinearFactors(boolean negated)
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getMatrixAE()
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getMatrixAI()
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getMatrixBE()
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getMatrixBI()
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getMatrixBI(int[] selector)
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getMatrixC()
(package private) MatrixStore<java.lang.Double>	ActiveSetSolver.getSlackI(int[] rows)
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getSolutionGeneral(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs)
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getSolutionGeneral(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.Double> preallocated)
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getSolutionQ(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs)
protected MatrixStore<java.lang.Double>	BasePrimitiveSolver.getSolutionQ(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> rhs, PhysicalStore<java.lang.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<java.lang.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<java.lang.Double> Q0, MatrixStore<java.lang.Double> C0, MatrixStore<java.lang.Double> x0, MatrixStore<java.lang.Double> y0, Optimisation.State state)
private static Optimisation.Result	IterativeRefinementSolverDouble.doIteration(MatrixStore<java.lang.Double> H, MatrixStore<java.lang.Double> g, MatrixStore<java.lang.Double> AE, MatrixStore<java.lang.Double> BE, MatrixStore<java.lang.Double> AI, MatrixStore<java.lang.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<java.lang.Double> Q_in, MatrixStore<java.lang.Double> C_in, MatrixStore<java.lang.Double> ae_in, MatrixStore<java.lang.Double> be_in, MatrixStore<java.lang.Double> ai_in, MatrixStore<java.lang.Double> bi_in, Optimisation.Options options)
private static ConvexData<java.lang.Double>	IterativeRefinementSolver.getDoubleConvexData(ConvexData<java.lang.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<java.lang.Double>[] matrices)
(package private) static ConvexObjectiveFunction<java.lang.Double>	BasePrimitiveSolver.toObjectiveFunction(MatrixStore<?> mtrxQ, MatrixStore<?> mtrxC)
private static void	IterativeRefinementSolver.updateConvexDoubleData(ConvexData<java.lang.Double> data, MatrixStore<Quadruple> C, MatrixStore<Quadruple> Be, MatrixStore<Quadruple> Bi)
private static void	IterativeRefinementSolver.updateConvexDoubleData(ConvexData<java.lang.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

Constructor	Description
Builder(MatrixStore<java.lang.Double>[] matrices)
NullSpaceProjection(ConvexData<java.lang.Double> original, QR<java.lang.Double> decomposition, MatrixStore<java.lang.Double> Z, MatrixStore<java.lang.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<java.lang.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 MatrixStore<java.lang.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<java.lang.Double> lambda, PhysicalStore<java.lang.Double> results)
LinearSolver.Builder	LinearSolver.Builder.objective(MatrixStore<java.lang.Double> mtrxC)
void	BasisRepresentation.reset(MatrixStore<java.lang.Double> basis)	Until this has been called there is an implicit assumption that the basis is the identity matrix.
void	DecomposedInverse.reset(MatrixStore<java.lang.Double> basis)	Completely rebuilds the decomposition from the given basis matrix.
void	ProductFormInverse.reset(MatrixStore<java.lang.Double> basis)	Update the product form inverse to reflect a replaced column.
(package private) static LinearFunction<java.lang.Double>	LinearSolver.toObjectiveFunction(MatrixStore<java.lang.Double> mtrxC)
void	BasisRepresentation.update(MatrixStore<java.lang.Double> basis, int col, SparseArray<java.lang.Double> values)	Update the inverse to reflect a replaced column in the basis.
void	DecomposedInverse.update(MatrixStore<java.lang.Double> basis, int col, SparseArray<java.lang.Double> values)	Updates the decomposition to reflect a change in the basis matrix.
void	ProductFormInverse.update(MatrixStore<java.lang.Double> basis, int col, SparseArray<java.lang.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 MatrixStore<java.lang.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<java.lang.Double>	GaussianField.getC11(K[] args)
(package private) MatrixStore<java.lang.Double>	GaussianField.getC12(K[] args)
(package private) MatrixStore<java.lang.Double>	GaussianField.getC21(K[] args)
(package private) MatrixStore<java.lang.Double>	GaussianProcess.getCovariances()
(package private) MatrixStore<java.lang.Double>	GaussianField.getM1(K[] args)
(package private) MatrixStore<java.lang.Double>	GaussianField.getM2()
(package private) MatrixStore<java.lang.Double>	GaussianField.getM2differenses()
(package private) MatrixStore<java.lang.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<java.lang.Double>	ComplexNumber.toMultiplicationMatrix()
MatrixStore<java.lang.Double>	Quaternion.toMultiplicationMatrix()
MatrixStore<java.lang.Double>	ComplexNumber.toMultiplicationVector()
MatrixStore<java.lang.Double>	Quaternion.toMultiplicationVector()
MatrixStore<java.lang.Double>	ComplexNumber.toRotationMatrix()
MatrixStore<java.lang.Double>	Quaternion.toRotationMatrix()
(package private) MatrixStore<java.lang.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<java.lang.Double>	CoordinatedSet.getSamples()
MatrixStore<java.lang.Double>	CoordinatedSet.getSamples(java.util.function.UnaryOperator<PrimitiveSeries> operator)