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.decomposition
org.ojalgo.matrix.store
org.ojalgo.matrix.task
org.ojalgo.matrix.task.iterative
org.ojalgo.matrix.transformation
org.ojalgo.optimisation
org.ojalgo.optimisation.convex
org.ojalgo.optimisation.integer
org.ojalgo.optimisation.linear
org.ojalgo.scalar
org.ojalgo.series.primitive

Uses of MatrixStore in org.ojalgo.ann

Methods in org.ojalgo.ann that return MatrixStore

Modifier and Type	Method	Description
MatrixStore<Double>	NetworkInvoker.invoke(Access1D<Double> input)	The input argument is typed as Access1D which essentially means it can be anything.

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.

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.
final MatrixStore<ComplexNumber>	DiscreteFourierTransform.inverse(Access1D<ComplexNumber> input)
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.inverse2D(MatrixStore<?> input)
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.sample(DoubleUnaryOperator function, PrimitiveFunction.SampleDomain sampleDomain)	Sample, and transform, a function using the Discrete Fourier Transform.
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.sample(PeriodicFunction function, int nbSamples)
static <N extends Comparable<N>> MatrixStore<N>	DiscreteFourierTransform.shift(MatrixStore<N> matrix)	There is a symmetry in the DFT matrix.
MatrixStore<ComplexNumber>	DiscreteFourierTransform.transform(double... input)
final MatrixStore<ComplexNumber>	DiscreteFourierTransform.transform(Access1D<?> input)
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.transform2D(MatrixStore<?> input)	Perform a 2D Discrete Fourier Transform on the input matrix.

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

Modifier and Type	Method	Description
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.inverse2D(MatrixStore<?> input)
static <N extends Comparable<N>> MatrixStore<N>	DiscreteFourierTransform.shift(MatrixStore<N> matrix)	There is a symmetry in the DFT matrix.
static MatrixStore<ComplexNumber>	DiscreteFourierTransform.transform2D(MatrixStore<?> input)	Perform a 2D Discrete Fourier Transform on the input matrix.
static void	DiscreteFourierTransform.transform2D(MatrixStore<?> input, DiscreteFourierTransform.Directive directive, TransformableRegion<ComplexNumber> output)

Uses of MatrixStore in org.ojalgo.function.multiary

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>	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)

Uses of MatrixStore in org.ojalgo.matrix.decomposition

Subinterfaces of MatrixStore in org.ojalgo.matrix.decomposition

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

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

Modifier and Type	Method	Description
MatrixStore<N>	SingularValue.getCovariance()
MatrixStore<N>	Bidiagonal.getD()
MatrixStore<N>	Eigenvalue.getD()	The only requirements on [D] are that it should contain the eigenvalues and that [A][V] = [V][D].
MatrixStore<N>	LDL.getD()
MatrixStore<N>	SingularValue.getD()	Deprecated. Use SingularValue.getS() instead
MatrixStore<Double>	SparseQDLDL.getD()
MatrixStore<N>	Tridiagonal.getD()
default MatrixStore<ComplexNumber>	Eigenvalue.getEigenvectors()
MatrixStore<N>	Hessenberg.getH()
default MatrixStore<N>	MatrixDecomposition.Solver.getInverse()	The output must be a "right inverse" and a "generalised inverse".
MatrixStore<N>	MatrixDecomposition.Solver.getInverse(PhysicalStore<N> preallocated)	Implementing this method is optional.
MatrixStore<Double>	SparseQDLDL.getInverse(PhysicalStore<Double> preallocated)
default MatrixStore<N>	Cholesky.getL()	Must implement either Cholesky.getL() or Cholesky.getR().
default MatrixStore<N>	LDL.getL()	Must implement either LDL.getL() or LDL.getR().
MatrixStore<N>	LU.getL()
MatrixStore<Double>	SparseQDLDL.getL()
MatrixStore<N>	Bidiagonal.getLQ()
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().
default MatrixStore<N>	LDL.getR()	Must implement either LDL.getL() or LDL.getR().
MatrixStore<N>	QR.getR()
MatrixStore<N>	Bidiagonal.getRQ()
MatrixStore<N>	SingularValue.getS()
default MatrixStore<N>	LU.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs)
default MatrixStore<N>	MatrixDecomposition.Solver.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs)	[A][X]=[B] or [this][return]=[rhs]
MatrixStore<N>	MatrixDecomposition.Solver.getSolution(Access2D.Collectable<N,? super PhysicalStore<N>> rhs, PhysicalStore<N> preallocated)	Implementing this method is optional.
MatrixStore<Double>	SparseQDLDL.getSolution(Access2D.Collectable<Double,? super PhysicalStore<Double>> rhs, PhysicalStore<Double> preallocated)
MatrixStore<N>	LU.getU()	http://en.wikipedia.org/wiki/Row_echelon_form This is the same as [D][U].
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<N>	Eigenvalue.getV()	The columns of [V] represent the eigenvectors of [A] in the sense that [A][V] = [V][D].
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.
static <N extends Comparable<N>> MatrixStore<N>	SingularValue.invert(SingularValue<N> decomposition, PhysicalStore<N> preallocated)
MatrixStore<Double>	SparseQDLDL.invert(Access2D<?> original, PhysicalStore<Double> preallocated)
default MatrixStore<N>	Bidiagonal.reconstruct()
default MatrixStore<N>	Cholesky.reconstruct()
default MatrixStore<N>	Eigenvalue.reconstruct()
static <N extends Comparable<N>> MatrixStore<N>	Eigenvalue.reconstruct(Eigenvalue<N> decomposition)
default MatrixStore<N>	Eigenvalue.Spectral.reconstruct()
default MatrixStore<N>	Hessenberg.reconstruct()
default MatrixStore<N>	LDL.reconstruct()
default MatrixStore<N>	LU.reconstruct()
MatrixStore<N>	MatrixDecomposition.reconstruct()
default MatrixStore<N>	QR.reconstruct()
default MatrixStore<N>	SingularValue.reconstruct()
default MatrixStore<N>	SingularValue.reconstruct(int k)
static <N extends Comparable<N>> MatrixStore<N>	SingularValue.reconstruct(SingularValue<N> decomposition)
default MatrixStore<N>	Tridiagonal.reconstruct()
static <N extends Comparable<N>> MatrixStore<N>	SingularValue.solve(SingularValue<N> decomposition, MatrixStore<N> rhs, PhysicalStore<N> preallocated)
MatrixStore<Double>	SparseQDLDL.solve(Access2D<?> body, Access2D<?> rhs, PhysicalStore<Double> preallocated)

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

Modifier and Type	Method	Description
default Optional<MatrixStore<N>>	MatrixDecomposition.Solver.invert()
default Optional<MatrixStore<N>>	MatrixDecomposition.Solver.solve(Access2D<?> rhs)
default Provider2D.Inverse<Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

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

Modifier and Type	Method	Description
default boolean	MatrixDecomposition.Hermitian.checkAndDecompose(MatrixStore<N> matrix)	Absolutely must check if the matrix is hermitian or not.
static <N extends Comparable<N>> boolean	Bidiagonal.equals(MatrixStore<N> matrix, Bidiagonal<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	Cholesky.equals(MatrixStore<N> matrix, Cholesky<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	Eigenvalue.equals(MatrixStore<N> matrix, Eigenvalue<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	Hessenberg.equals(MatrixStore<N> matrix, Hessenberg<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	LDL.equals(MatrixStore<N> matrix, LDL<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	LU.equals(MatrixStore<N> matrix, LU<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	QR.equals(MatrixStore<N> matrix, QR<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	SingularValue.equals(MatrixStore<N> matrix, SingularValue<N> decomposition, NumberContext context)
static <N extends Comparable<N>> boolean	Tridiagonal.equals(MatrixStore<N> matrix, Tridiagonal<N> decomposition, NumberContext context)
static <N extends Comparable<N>> MatrixStore<N>	SingularValue.solve(SingularValue<N> decomposition, MatrixStore<N> rhs, PhysicalStore<N> preallocated)

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

Modifier and Type	Method	Description
default Provider2D.Determinant<N>	MatrixDecomposition.Determinant.toDeterminantProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Inverse<Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<Optional<MatrixStore<N>>>	MatrixDecomposition.Solver.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

Uses of MatrixStore in org.ojalgo.matrix.store

Subinterfaces of MatrixStore in org.ojalgo.matrix.store

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

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

Modifier and Type	Class	Description
final class	ColumnsSupplier<N extends Comparable<N>>	Sparse columns – columns can be added and removed.
final class	DiagonalStore<N extends Comparable<N>,D extends Access1D<?>>
final class	GenericStore<N extends Scalar<N>>	A generic implementation of PhysicalStore.
final class	R032Store	A invalid reference float implementation of PhysicalStore.
final class	R064CSC	A compressed sparse column (CSC) matrix store implementation for double precision values.
final class	R064CSR	A compressed sparse row (CSR) matrix store implementation for double precision values.
final class	R064Store	A invalid reference double implementation of PhysicalStore.
final class	RawStore	Uses double[][] internally.
final class	RowsSupplier<N extends Comparable<N>>	Sparse rows – rows can be added and removed.
final class	SparseStore<N extends Comparable<N>>	A sparse matrix (this implementation) is not thread safe.

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)
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)
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>	GenericStore.conjugate()
default MatrixStore<N>	MatrixStore.conjugate()	Returns the conjugate transpose of this matrix.
MatrixStore<Double>	R032Store.conjugate()
MatrixStore<Double>	R064Store.conjugate()
MatrixStore<Double>	RawStore.conjugate()
default MatrixStore<N>	MatrixStore.diagonal()
default MatrixStore<N>	MatrixStore.diagonally(Access2D<N>... diagonally)
default MatrixStore<N>	MatrixStore.divide(double scalarDivisor)
default MatrixStore<N>	MatrixStore.divide(N scalarDivisor)
MatrixStore<N>	GenericStore.get()
default MatrixStore<N>	MatrixStore.get()	Deprecated. v50 No need as MatrixStore now implements invalid reference Logical and this method simply return "this".
MatrixStore<Double>	R064Store.get()
MatrixStore<Double>	RawStore.get()
default MatrixStore<N>	MatrixStore.hermitian(boolean upper)
default MatrixStore<N>	MatrixStore.hessenberg(boolean upper)
default MatrixStore<N>	MatrixStore.left(long numberOfColumns)
default MatrixStore<N>	MatrixStore.left(Access2D<N> matrix)
default MatrixStore<N>	MatrixStore.left(Access2D<N>... matrices)
default MatrixStore<N>	MatrixStore.limits(long rowLimit, long columnLimit)	Setting either limit to < 0 is interpreted as "no limit" (useful when you only want to limit either the rows or columns, and don't know the size of the other)
default MatrixStore<N>	MatrixStore.logical()	Deprecated. v50 No need as MatrixStore now implements invalid reference Logical .
default MatrixStore<N>	PhysicalStore.Factory.makeIdentity(long dimension)
default MatrixStore<N>	PhysicalStore.Factory.makeSingle(double element)
default MatrixStore<N>	PhysicalStore.Factory.makeSingle(N element)
default MatrixStore<N>	PhysicalStore.Factory.makeWrapper(Access2D<?> access)
default MatrixStore<N>	PhysicalStore.Factory.makeWrapperColumn(Access1D<?> access)
default MatrixStore<N>	PhysicalStore.Factory.makeZero(long rowsCount, long columnsCount)
default MatrixStore<N>	PhysicalStore.Factory.makeZero(Structure2D shape)
MatrixStore<N>	GenericStore.multiply(MatrixStore<N> right)
default MatrixStore<N>	MatrixStore.multiply(double scalarMultiplicand)
default MatrixStore<N>	MatrixStore.multiply(N scalarMultiplicand)
default MatrixStore<N>	MatrixStore.multiply(MatrixStore<N> right)
MatrixStore<Double>	R032Store.multiply(MatrixStore<Double> right)
MatrixStore<Double>	R064Store.multiply(MatrixStore<Double> right)
MatrixStore<N>	SparseStore.multiply(double scalar)
MatrixStore<N>	SparseStore.multiply(N scalar)
MatrixStore<N>	SparseStore.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.
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()
default MatrixStore<N>	MatrixStore.transpose()
default MatrixStore<N>	MatrixStore.triangular(boolean upper, boolean assumeOne)
default MatrixStore<N>	MatrixStore.tridiagonal()

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

Modifier and Type	Method	Description
default MatrixStore<N>	MatrixStore.add(MatrixStore<N> addend)
default boolean	MatrixStore.equals(MatrixStore<N> other, NumberContext context)
MatrixStore<N>	GenericStore.multiply(MatrixStore<N> right)
default MatrixStore<N>	MatrixStore.multiply(MatrixStore<N> right)
MatrixStore<Double>	R032Store.multiply(MatrixStore<Double> right)
MatrixStore<Double>	R064Store.multiply(MatrixStore<Double> right)
RawStore	RawStore.multiply(MatrixStore<Double> right)
MatrixStore<N>	SparseStore.multiply(MatrixStore<N> right)
default MatrixStore<N>	MatrixStore.subtract(MatrixStore<N> subtrahend)

Uses of MatrixStore in org.ojalgo.matrix.task

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

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

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

Modifier and Type	Method	Description
default Provider2D.Inverse<Optional<MatrixStore<N>>>	InverterTask.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<Optional<MatrixStore<N>>>	SolverTask.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

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

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

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

Modifier and Type	Method	Description
default Provider2D.Determinant<N>	DeterminantTask.toDeterminantProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Inverse<Optional<MatrixStore<N>>>	InverterTask.toInverseProvider(ElementsSupplier<N> original, Supplier<MatrixStore<N>> alternativeOriginalSupplier)
default Provider2D.Solution<Optional<MatrixStore<N>>>	SolverTask.toSolutionProvider(ElementsSupplier<N> body, Supplier<MatrixStore<N>> alternativeBodySupplier, Access2D<?> rhs)

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

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

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

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

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

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

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

Uses of MatrixStore in org.ojalgo.matrix.transformation

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

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

Uses of MatrixStore in org.ojalgo.optimisation

Methods in org.ojalgo.optimisation that return MatrixStore

Modifier and Type	Method	Description
MatrixStore<Double>	Expression.getAdjustedGradient(Access1D<?> point)
MatrixStore<Double>	Expression.getAdjustedHessian()
protected MatrixStore<Double>	GenericSolver.Builder.getAE()	Equality constraints body: [AE][X] == [BE]
protected MatrixStore<Double>	GenericSolver.Builder.getAI()	Inequality constraints body: [AI][X] invalid input: '<'= [BI]
protected MatrixStore<Double>	GenericSolver.Builder.getBE()	Equality constraints RHS: [AE][X] == [BE]
protected MatrixStore<Double>	GenericSolver.Builder.getBI()	Inequality constraints RHS: [AI][X] invalid input: '<'= [BI]
protected MatrixStore<Double>	GenericSolver.Builder.getC()

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

Modifier and Type	Method	Description
protected static final void	GenericSolver.Builder.append(StringBuilder builder, String label, MatrixStore<Double> matrix)

Uses of MatrixStore in org.ojalgo.optimisation.convex

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

Modifier and Type	Method	Description
MatrixStore<N>	ConvexData.getBE()	Equality constraints RHS: [AE][X] == [BE]
MatrixStore<N>	ConvexData.getBI()	Inequality constraints RHS: [AI][X] invalid input: '<'= [BI]
MatrixStore<N>	ConvexObjectiveFunction.getGradient(Access1D<N> point)
MatrixStore<N>	ConvexObjectiveFunction.getHessian(Access1D<N> point)
MatrixStore<N>	ConvexObjectiveFunction.getLinearFactors(boolean negated)

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

Modifier and Type	Method	Description
ConvexSolver.Builder	ConvexSolver.Builder.objective(MatrixStore<?> mtrxQ, MatrixStore<?> mtrxC)

Uses of MatrixStore in org.ojalgo.optimisation.integer

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

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

Uses of MatrixStore in org.ojalgo.optimisation.linear

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

Modifier and Type	Method	Description
LinearSolver.Builder	LinearSolver.Builder.objective(MatrixStore<Double> mtrxC)

Uses of MatrixStore in org.ojalgo.scalar

Methods in org.ojalgo.scalar that return MatrixStore

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

Uses of MatrixStore in org.ojalgo.series.primitive

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

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