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

Packages that use PhysicalStore

Package	Description
org.ojalgo.ann
org.ojalgo.data
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.convex
org.ojalgo.optimisation.linear
org.ojalgo.scalar

Uses of PhysicalStore in org.ojalgo.ann

Fields in org.ojalgo.ann declared as PhysicalStore

Modifier and Type	Field	Description
private PhysicalStore<java.lang.Double>	CalculationLayer.myBias
private PhysicalStore<java.lang.Double>[]	NetworkTrainer.myGradients
private PhysicalStore<java.lang.Double>	WrappedANN.myInput
private PhysicalStore<java.lang.Double>[]	WrappedANN.myOutputs
private PhysicalStore<java.lang.Double>	CalculationLayer.myWeights

Fields in org.ojalgo.ann with type parameters of type PhysicalStore

Modifier and Type	Field	Description
private java.util.function.Consumer<PhysicalStore<java.lang.Double>>	ArtificialNeuralNetwork.Activator.myFunction

Methods in org.ojalgo.ann that return PhysicalStore

Modifier and Type	Method	Description
(package private) PhysicalStore<java.lang.Double>	WrappedANN.getInput()
(package private) PhysicalStore<java.lang.Double>	WrappedANN.getInput(int layer)
(package private) PhysicalStore<java.lang.Double>	WrappedANN.getOutput()
(package private) PhysicalStore<java.lang.Double>	WrappedANN.getOutput(int layer)
(package private) PhysicalStore<java.lang.Double>	ArtificialNeuralNetwork.invoke(int layer, PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output)
(package private) PhysicalStore<java.lang.Double>	CalculationLayer.invoke(PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output)
(package private) PhysicalStore<java.lang.Double>	CalculationLayer.invoke(PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output, double probabilityToKeep)
(package private) PhysicalStore<java.lang.Double>	ArtificialNeuralNetwork.newStore(int rows, int columns)

Methods in org.ojalgo.ann with parameters of type PhysicalStore

Modifier and Type	Method	Description
(package private) void	ArtificialNeuralNetwork.Activator.activate(PhysicalStore<java.lang.Double> output)
(package private) void	ArtificialNeuralNetwork.Activator.activate(PhysicalStore<java.lang.Double> output, double probabilityToKeep)
(package private) void	ArtificialNeuralNetwork.adjust(int layer, PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output, PhysicalStore<java.lang.Double> upstreamGradient, PhysicalStore<java.lang.Double> downstreamGradient)
(package private) void	CalculationLayer.adjust(PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output, PhysicalStore<java.lang.Double> upstreamGradient, PhysicalStore<java.lang.Double> downstreamGradient, double learningRate, double dropoutsFactor, java.util.function.DoubleUnaryOperator regularisation)
(package private) void	WrappedANN.adjust(int layer, PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output, PhysicalStore<java.lang.Double> upstreamGradient, PhysicalStore<java.lang.Double> downstreamGradient)
(package private) static void	ArtificialNeuralNetwork.doIdentity(PhysicalStore<java.lang.Double> output)
(package private) static void	ArtificialNeuralNetwork.doReLU(PhysicalStore<java.lang.Double> output)
(package private) static void	ArtificialNeuralNetwork.doSigmoid(PhysicalStore<java.lang.Double> output)
(package private) static void	ArtificialNeuralNetwork.doSoftMax(PhysicalStore<java.lang.Double> output)
(package private) static void	ArtificialNeuralNetwork.doTanh(PhysicalStore<java.lang.Double> output)
(package private) PhysicalStore<java.lang.Double>	ArtificialNeuralNetwork.invoke(int layer, PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output)
(package private) PhysicalStore<java.lang.Double>	CalculationLayer.invoke(PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output)
(package private) PhysicalStore<java.lang.Double>	CalculationLayer.invoke(PhysicalStore<java.lang.Double> input, PhysicalStore<java.lang.Double> output, double probabilityToKeep)

Constructor parameters in org.ojalgo.ann with type arguments of type PhysicalStore

Constructor	Description
Activator(java.util.function.Consumer<PhysicalStore<java.lang.Double>> function, PrimitiveFunction.Unary derivativeInTermsOfOutput, boolean singleFolded)

Uses of PhysicalStore in org.ojalgo.data

Methods in org.ojalgo.data with type parameters of type PhysicalStore

Modifier and Type	Method	Description
static <M extends PhysicalStore<java.lang.Double>> M	DataProcessors.covariances(Factory2D<M> factory, SingularValue<java.lang.Double> svd)
static <M extends PhysicalStore<java.lang.Double>> M	DataProcessors.covariances(Factory2D<M> factory, SingularValue<java.lang.Double> svd, double threshold)
static <M extends PhysicalStore<java.lang.Double>> M	DataProcessors.covariances(Factory2D<M> factory, SingularValue<java.lang.Double> svd, int complexity)

Uses of PhysicalStore in org.ojalgo.data.image

Methods in org.ojalgo.data.image that return PhysicalStore

Modifier and Type	Method	Description
PhysicalStore<ComplexNumber>	ImageData.toFrequencyDomain()	Transforms the spatial representation of the image to its frequency representation using the discrete Fourier transform.

Uses of PhysicalStore in org.ojalgo.data.transform

Fields in org.ojalgo.data.transform declared as PhysicalStore

Modifier and Type	Field	Description
private PhysicalStore<ComplexNumber>	DiscreteFourierTransform.FullMatrix.myVandermondeMatrix

Uses of PhysicalStore in org.ojalgo.function.multiary

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

Modifier and Type	Method	Description
PhysicalStore<N>	AffineFunction.linear()
PhysicalStore<N>	LinearFunction.linear()
PhysicalStore<N>	MultiaryFunction.Linear.linear()
PhysicalStore<N>	QuadraticFunction.linear()
PhysicalStore<N>	MultiaryFunction.PureQuadratic.quadratic()
PhysicalStore<N>	PureQuadraticFunction.quadratic()
PhysicalStore<N>	QuadraticFunction.quadratic()
protected PhysicalStore<N>	ApproximateFunction.shift(Access1D<?> arg)

Methods in org.ojalgo.function.multiary with parameters of type PhysicalStore

Modifier and Type	Method	Description
static <N extends java.lang.Comparable<N>> AffineFunction<N>	AffineFunction.wrap(PhysicalStore<N> coefficients)
static <N extends java.lang.Comparable<N>> LinearFunction<N>	LinearFunction.wrap(PhysicalStore<N> coefficients)
static <N extends java.lang.Comparable<N>> PureQuadraticFunction<N>	PureQuadraticFunction.wrap(PhysicalStore<N> coefficients)
static <N extends java.lang.Comparable<N>> QuadraticFunction<N>	QuadraticFunction.wrap(PhysicalStore<N> quadratic, PhysicalStore<N> linear)

Uses of PhysicalStore in org.ojalgo.matrix

Fields in org.ojalgo.matrix declared as PhysicalStore

Modifier and Type	Field	Description
private PhysicalStore<N>	DenseMutator2D.myDelegate

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

Modifier and Type	Method	Description
(package private) MatrixC128.DenseReceiver	MatrixC128.Factory.dense(PhysicalStore<ComplexNumber> delegate)
(package private) abstract DR	MatrixFactory.dense(PhysicalStore<N> delegate)
(package private) MatrixH256.DenseReceiver	MatrixH256.Factory.dense(PhysicalStore<Quaternion> delegate)
(package private) MatrixQ128.DenseReceiver	MatrixQ128.Factory.dense(PhysicalStore<RationalNumber> delegate)
(package private) MatrixR032.DenseReceiver	MatrixR032.Factory.dense(PhysicalStore<java.lang.Double> delegate)
(package private) MatrixR064.DenseReceiver	MatrixR064.Factory.dense(PhysicalStore<java.lang.Double> delegate)
(package private) MatrixR128.DenseReceiver	MatrixR128.Factory.dense(PhysicalStore<Quadruple> delegate)

Constructors in org.ojalgo.matrix with parameters of type PhysicalStore

Constructor	Description
DenseMutator2D(PhysicalStore<N> delegate)
DenseReceiver(PhysicalStore<ComplexNumber> delegate)
DenseReceiver(PhysicalStore<Quaternion> delegate)
DenseReceiver(PhysicalStore<RationalNumber> delegate)
DenseReceiver(PhysicalStore<java.lang.Double> delegate)
DenseReceiver(PhysicalStore<java.lang.Double> delegate)
DenseReceiver(PhysicalStore<Quadruple> delegate)

Uses of PhysicalStore in org.ojalgo.matrix.decomposition

Classes in org.ojalgo.matrix.decomposition with type parameters of type PhysicalStore

Modifier and Type	Class	Description
(package private) class	AbstractDecomposition<N extends java.lang.Comparable<N>,M extends PhysicalStore<N>>

Subinterfaces of PhysicalStore 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 PhysicalStore

Modifier and Type	Field	Description
private PhysicalStore<N>	GeneralisedEvD.myRecovered
private PhysicalStore<N>	GeneralisedEvD.myReduced	C
private PhysicalStore<N>	DenseLU.myWorkerColumn
private PhysicalStore<N>	DenseLU.myWorkerRow

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

Modifier and Type	Method	Description
(package private) PhysicalStore<N>	DenseLU.getWorkerColumn(int nbRows)
(package private) PhysicalStore<N>	DenseLU.getWorkerRow(int nbCols)
PhysicalStore<N>	DenseCholesky.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<N>	DenseLDL.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<N>	DenseLU.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<N>	DenseQR.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<N>	DenseSingularValue.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<N>	HermitianEvD.preallocate(int nbEquations, int nbVariables, int nbSolutions)
default PhysicalStore<N>	MatrixDecomposition.Solver.preallocate(int nbRows, int nbCols)
PhysicalStore<java.lang.Double>	RawCholesky.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	RawEigenvalue.Symmetric.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	RawLU.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	RawQR.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	RawSingularValue.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	SparseLU.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	SparseQDLDL.preallocate(int nbEquations, int nbVariables, int nbSolutions)
(package private) PhysicalStore<N>	GeneralisedEvD.reduce(Access2D.Collectable<N,? super PhysicalStore<N>> original)

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

Modifier and Type	Method	Description
(package private) void	AbstractDecomposition.applyPivotOrder(Pivot pivot, PhysicalStore<N> matrix)
(package private) void	AbstractDecomposition.applyReverseOrder(Pivot pivot, PhysicalStore<N> matrix)
void	DenseCholesky.btran(PhysicalStore<N> arg)
void	DenseLDL.btran(PhysicalStore<N> arg)
void	DenseLU.btran(PhysicalStore<N> arg)
void	DenseQR.btran(PhysicalStore<N> arg)
void	DenseSingularValue.btran(PhysicalStore<N> arg)
void	HermitianEvD.btran(PhysicalStore<N> arg)
void	RawCholesky.btran(PhysicalStore<java.lang.Double> arg)
void	RawEigenvalue.Symmetric.btran(PhysicalStore<java.lang.Double> arg)
void	RawLU.btran(PhysicalStore<java.lang.Double> arg)
void	RawQR.btran(PhysicalStore<java.lang.Double> arg)
void	RawSingularValue.btran(PhysicalStore<java.lang.Double> arg)
void	SparseLU.btran(PhysicalStore<java.lang.Double> arg)
void	SparseLU.PermutationEta.btran(PhysicalStore<java.lang.Double> arg)
void	SparseQDLDL.btran(PhysicalStore<java.lang.Double> arg)
private void	SparseLU.btranL(int r, PhysicalStore<java.lang.Double> arg)
private void	SparseLU.btranU(int r, PhysicalStore<java.lang.Double> arg)
Array1D<ComplexNumber>	DecompositionStore.computeInPlaceSchur(PhysicalStore<N> transformationCollector, boolean eigenvalue)
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>	RawCholesky.doSolve(PhysicalStore<java.lang.Double> preallocated)
private MatrixStore<java.lang.Double>	RawLU.doSolve(PhysicalStore<java.lang.Double> preallocated)
void	DenseCholesky.ftran(PhysicalStore<N> arg)
void	DenseLDL.ftran(PhysicalStore<N> arg)
void	DenseLU.ftran(PhysicalStore<N> arg)
void	HermitianEvD.ftran(PhysicalStore<N> arg)
default void	QR.ftran(PhysicalStore<N> arg)
void	RawCholesky.ftran(PhysicalStore<java.lang.Double> arg)
void	RawEigenvalue.Symmetric.ftran(PhysicalStore<java.lang.Double> arg)
void	RawLU.ftran(PhysicalStore<java.lang.Double> arg)
default void	SingularValue.ftran(PhysicalStore<N> arg)
void	SparseLU.ftran(PhysicalStore<java.lang.Double> arg)
void	SparseLU.PermutationEta.ftran(PhysicalStore<java.lang.Double> arg)
void	SparseQDLDL.ftran(PhysicalStore<java.lang.Double> arg)
private void	SparseLU.ftranInternal(PhysicalStore<java.lang.Double> arg)
private void	SparseLU.ftranL(int r, PhysicalStore<java.lang.Double> arg)
private void	SparseLU.ftranU(PhysicalStore<java.lang.Double> arg, int r)
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(PhysicalStore<N> preallocated)
MatrixStore<N>	HermitianEvD.getInverse(PhysicalStore<N> preallocated)
MatrixStore<N>	InPlaceDecomposition.getInverse(PhysicalStore<N> preallocated)
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(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(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)
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)
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>	DenseCholesky.invert(Access2D<?> original, PhysicalStore<N> preallocated)
MatrixStore<N>	DenseLDL.invert(Access2D<?> original, PhysicalStore<N> preallocated)
MatrixStore<N>	DenseLU.invert(Access2D<?> original, PhysicalStore<N> preallocated)
MatrixStore<N>	DenseQR.invert(Access2D<?> original, PhysicalStore<N> preallocated)
MatrixStore<N>	DenseSingularValue.invert(Access2D<?> original, PhysicalStore<N> preallocated)
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)
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].
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, 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)
private DecompositionStore<N>	DenseBidiagonal.solve2(PhysicalStore<N> aMtrxV, MatrixStore<N> aMtrxD, DiagonalStore<N,?> aMtrxSimilar)
(package private) static <N extends java.lang.Comparable<N>> boolean	FletcherMatthews.update(Pivot rowOrder, PhysicalStore<N> combined, Pivot colOrder, int columnIndex, Access1D.Collectable<N,? super TransformableRegion<N>> column, PhysicalStore<N> preallocated)	Updates the LU decomposition when a column is modified in the original matrix.

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

Modifier and Type	Method	Description
(package private) boolean	DenseCholesky.compute(Access2D.Collectable<N,? super PhysicalStore<N>> matrix, boolean checkHermitian)
boolean	DenseHessenberg.compute(Access2D.Collectable<N,? super PhysicalStore<N>> matrix, boolean upper)
boolean	Hessenberg.compute(Access2D.Collectable<N,? super PhysicalStore<N>> matrix, boolean upper)
private boolean	DenseLDL.doDecompose(Access2D.Collectable<N,? super PhysicalStore<N>> matrix, boolean pivoting)
private boolean	DenseLU.doDecompose(Access2D.Collectable<N,? super PhysicalStore<N>> matrix, boolean pivoting)
(package private) boolean	RawSingularValue.doDecompose(Access2D.Collectable<java.lang.Double,? super PhysicalStore<java.lang.Double>> matrix, boolean factors)
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)
(package private) PhysicalStore<N>	GeneralisedEvD.reduce(Access2D.Collectable<N,? super PhysicalStore<N>> original)

Uses of PhysicalStore in org.ojalgo.matrix.store

Classes in org.ojalgo.matrix.store with type parameters of type PhysicalStore

Modifier and Type	Interface	Description
static interface	PhysicalStore.Factory<N extends java.lang.Comparable<N>,I extends PhysicalStore<N> & Factory2D.Builder<I>>
class	PrimitiveFactory<I extends PhysicalStore<java.lang.Double> & Factory2D.Builder<I>>

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

Modifier and Type	Class	Description
class	GenericStore<N extends Scalar<N>>	A generic implementation of PhysicalStore.
class	R032Store	A float implementation of PhysicalStore.
class	R064Store	A double implementation of PhysicalStore.
class	RawStore	Uses double[][] internally.

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

Modifier and Type	Method	Description
default PhysicalStore<N>	MatrixStore.copy()	Each call must produce a new instance.
PhysicalStore<N>	ColumnsSupplier.get()
PhysicalStore<N>	RowsSupplier.get()

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

Modifier and Type	Method	Description
static void	R064CSC.btran(R064CSC mtrxL, int r, PhysicalStore<java.lang.Double> arg)	Assumes mtrxL is unit lower/left triangular, with the unit diagonal not stored.
Array1D<ComplexNumber>	GenericStore.computeInPlaceSchur(PhysicalStore<N> transformationCollector, boolean eigenvalue)
Array1D<ComplexNumber>	R064Store.computeInPlaceSchur(PhysicalStore<java.lang.Double> transformationCollector, boolean eigenvalue)
static void	R064CSC.ftran(R064CSC mtrxL, int r, PhysicalStore<java.lang.Double> arg)	Assumes mtrxL is unit lower/left triangular, with the unit diagonal not stored.
void	ColumnsSupplier.SingleView.supplyTo(PhysicalStore<N> receiver)
void	RowsSupplier.SingleView.supplyTo(PhysicalStore<N> receiver)

Uses of PhysicalStore in org.ojalgo.matrix.task

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

Modifier and Type	Method	Description
PhysicalStore<java.lang.Double>	AbstractInverter.preallocate(int nbRows, int nbCols)
PhysicalStore<java.lang.Double>	AbstractSolver.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<N>	InverterTask.preallocate(int nbRows, int nbCols)
default PhysicalStore<N>	InverterTask.preallocate(Structure2D template)	Will create a PhysicalStore instance suitable for use with InverterTask.invert(Access2D, PhysicalStore).
PhysicalStore<N>	SolverTask.preallocate(int nbEquations, int nbVariables, int nbSolutions)
default PhysicalStore<N>	SolverTask.preallocate(Structure2D templateBody, Structure2D templateRHS)	Will create a PhysicalStore instance suitable for use with SolverTask.solve(Access2D, Access2D, PhysicalStore).

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

Modifier and Type	Method	Description
(package private) static void	AbstractInverter.full1X1(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.full1X1(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.full2X2(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.full2X2(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.full3X3(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.full3X3(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.full4X4(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.full4X4(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.full5X5(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.full5X5(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
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.
(package private) static void	AbstractSolver.leastSquares(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
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.
(package private) static void	AbstractInverter.symmetric2X2(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.symmetric2X2(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.symmetric3X3(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.symmetric3X3(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.symmetric4X4(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.symmetric4X4(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)
(package private) static void	AbstractInverter.symmetric5X5(Access2D<?> source, PhysicalStore<?> destination)
(package private) static void	AbstractSolver.symmetric5X5(Access2D<?> body, Access1D<?> rhs, PhysicalStore<?> solution)

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

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

Modifier and Type	Method	Description
PhysicalStore<java.lang.Double>	IterativeSolverTask.preallocate(int nbEquations, int nbVariables, int nbSolutions)
PhysicalStore<java.lang.Double>	MutableSolver.preallocate(int nbEquations, int nbVariables, int nbSolutions)

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

Modifier and Type	Method	Description
void	IdentityPreconditioner.apply(Access1D<java.lang.Double> src, PhysicalStore<java.lang.Double> dst)
void	JacobiPreconditioner.apply(Access1D<java.lang.Double> src, PhysicalStore<java.lang.Double> dst)
void	Preconditioner.apply(Access1D<java.lang.Double> src, PhysicalStore<java.lang.Double> dst)	Apply M^{-1} to a vector.
void	SSORPreconditioner.apply(Access1D<java.lang.Double> src, PhysicalStore<java.lang.Double> dst)
default void	Preconditioner.applyTranspose(Access1D<java.lang.Double> src, PhysicalStore<java.lang.Double> dst)	Apply (M^T)^{-1} to a vector.
double	ConjugateGradientSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
double	GaussSeidelSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
abstract double	IterativeSolverTask.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
double	IterativeSolverTask.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution, Access1D<?> rhs)
double	JacobiSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
double	MINRESSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> x)
double	MutableSolver.resolve(PhysicalStore<java.lang.Double> solution)	A variation of MutableSolver.solve(Access2D, Access2D, PhysicalStore) where the system body has already been set up using MutableSolver.add(Equation).
double	MutableSolver.resolve(PhysicalStore<java.lang.Double> solution, Access1D<?> rhs)	Same as MutableSolver.resolve(PhysicalStore) but replaces the RHS values before solving.
double	ParallelGaussSeidelSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
private double	ParallelGaussSeidelSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution, double normRHS, java.util.concurrent.atomic.AtomicInteger iterationsCounter, int first, int limit)
double	QMRSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> x)
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)

Uses of PhysicalStore in org.ojalgo.matrix.transformation

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

Modifier and Type	Method	Description
void	InvertibleFactor.btran(PhysicalStore<N> arg)	Backwards-transformation
void	InvertibleFactor.IdentityFactor.btran(PhysicalStore<N> arg)
void	InvertibleFactor.ftran(PhysicalStore<N> arg)	Forward-transformation
void	InvertibleFactor.IdentityFactor.ftran(PhysicalStore<N> arg)
(package private) static Rotation<java.lang.Double>[]	Rotation.rotationsP(PhysicalStore<java.lang.Double> matrix, int low, int high, Rotation<java.lang.Double>[] results)
default void	Householder.transform(PhysicalStore<N> matrix)
void	Rotation.transform(PhysicalStore<N> matrix)

Uses of PhysicalStore in org.ojalgo.optimisation.convex

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

Modifier and Type	Field	Description
private PhysicalStore<N>	ConvexData.myBE
private PhysicalStore<N>	ConvexData.myBI
private PhysicalStore<java.lang.Double>	IterativeASS.myColumnInvQAt

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

Modifier and Type	Method	Description
PhysicalStore<N>	ConvexData.getAE()	Equality constraints body: [AE][X] == [BE]
(package private) PhysicalStore<N>	ConvexData.getAI()	Inequality constraints body: [AI][X] <= [BI]
protected PhysicalStore<java.lang.Double>	ConvexSolver.Builder.getC()	Linear objective: [C]
(package private) PhysicalStore<java.lang.Double>	ConstrainedSolver.getIterationQ()
protected PhysicalStore<java.lang.Double>	BasePrimitiveSolver.getMatrixQ()
protected PhysicalStore<java.lang.Double>	ConvexSolver.Builder.getQ()	Quadratic objective: [Q]
(package private) PhysicalStore<java.lang.Double>	ConstrainedSolver.getSlackE()
(package private) PhysicalStore<java.lang.Double>	ActiveSetSolver.getSlackI()
protected PhysicalStore<java.lang.Double>	BasePrimitiveSolver.getSolutionX()	Solution / Variables: [X]
PhysicalStore<N>	ConvexObjectiveFunction.linear()
PhysicalStore<N>	ConvexObjectiveFunction.quadratic()

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

Modifier and Type	Method	Description
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, PhysicalStore<java.lang.Double> preallocated)
protected boolean	BasePrimitiveSolver.solveFullKKT(PhysicalStore<java.lang.Double> preallocated)

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

Modifier and Type	Method	Description
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)

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

Constructor	Description
ConvexObjectiveFunction(PhysicalStore<N> quadratic, PhysicalStore<N> linear)

Uses of PhysicalStore in org.ojalgo.optimisation.linear

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

Modifier and Type	Field	Description
private PhysicalStore<java.lang.Double>	RevisedStore.a	Pivot row for dual simplex.

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

Modifier and Type	Method	Description
void	DecomposedInverse.btran(PhysicalStore<java.lang.Double> arg)	Solves the transposed system B^T x = b, overwriting the right-hand side with the solution.
void	ProductFormInverse.btran(PhysicalStore<java.lang.Double> arg)
void	ProductFormInverse.ElementaryFactor.btran(PhysicalStore<java.lang.Double> arg)
private void	RevisedStore.doBodyRow(int i, PhysicalStore<java.lang.Double> destination)
private void	RevisedStore.doExclTranspMult(MatrixStore<java.lang.Double> lambda, PhysicalStore<java.lang.Double> results)
void	DecomposedInverse.ftran(PhysicalStore<java.lang.Double> arg)	Solves the system B x = b, overwriting the right-hand side with the solution.
void	ProductFormInverse.ElementaryFactor.ftran(PhysicalStore<java.lang.Double> arg)
void	ProductFormInverse.ftran(PhysicalStore<java.lang.Double> arg)

Uses of PhysicalStore in org.ojalgo.scalar

Methods in org.ojalgo.scalar that return PhysicalStore

Modifier and Type	Method	Description
PhysicalStore<java.lang.Double>	Quaternion.vector()