Uses of Interface
org.hipparchus.linear.FieldMatrix

Packages that use FieldMatrix

Package	Description
org.hipparchus.linear	Linear algebra support.

Uses of FieldMatrix in org.hipparchus.linear

Classes in org.hipparchus.linear that implement FieldMatrix

Modifier and Type	Class	Description
class	AbstractFieldMatrix<T extends FieldElement<T>>	Basic implementation of FieldMatrix methods regardless of the underlying storage.
class	Array2DRowFieldMatrix<T extends FieldElement<T>>	Implementation of FieldMatrix using a FieldElement[][] array to store entries.
class	BlockFieldMatrix<T extends FieldElement<T>>	Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
class	SparseFieldMatrix<T extends FieldElement<T>>	Sparse matrix implementation based on an open addressed map.

Methods in org.hipparchus.linear that return FieldMatrix

Modifier and Type	Method	Description
FieldMatrix<T>	AbstractFieldMatrix.add(FieldMatrix<T> m)	Compute the sum of this and m.
FieldMatrix<T>	BlockFieldMatrix.add(FieldMatrix<T> m)	Compute the sum of this and m.
FieldMatrix<T>	FieldMatrix.add(FieldMatrix<T> m)	Compute the sum of this and m.
default FieldMatrix<T>	FieldMatrix.blendArithmeticallyWith(FieldMatrix<T> other, T blendingValue)	Blend arithmetically this instance with another one.
abstract FieldMatrix<T>	AbstractFieldMatrix.copy()	Make a (deep) copy of this.
FieldMatrix<T>	Array2DRowFieldMatrix.copy()	Make a (deep) copy of this.
FieldMatrix<T>	BlockFieldMatrix.copy()	Make a (deep) copy of this.
FieldMatrix<T>	FieldMatrix.copy()	Make a (deep) copy of this.
FieldMatrix<T>	SparseFieldMatrix.copy()	Make a (deep) copy of this.
static <T extends FieldElement<T>> FieldMatrix<T>	MatrixUtils.createColumnFieldMatrix(T[] columnData)	Creates a column FieldMatrix using the data from the input array.
static <T extends FieldElement<T>> FieldMatrix<T>	MatrixUtils.createFieldDiagonalMatrix(T[] diagonal)	Returns a diagonal matrix with specified elements.
static <T extends FieldElement<T>> FieldMatrix<T>	MatrixUtils.createFieldIdentityMatrix(Field<T> field, int dimension)	Returns dimension x dimension identity matrix.
static <T extends FieldElement<T>> FieldMatrix<T>	MatrixUtils.createFieldMatrix(Field<T> field, int rows, int columns)	Returns a FieldMatrix with specified dimensions.
static <T extends FieldElement<T>> FieldMatrix<T>	MatrixUtils.createFieldMatrix(T[][] data)	Returns a FieldMatrix whose entries are the the values in the the input array.
abstract FieldMatrix<T>	AbstractFieldMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
FieldMatrix<T>	Array2DRowFieldMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
FieldMatrix<T>	BlockFieldMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
FieldMatrix<T>	FieldMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
FieldMatrix<T>	SparseFieldMatrix.createMatrix(int rowDimension, int columnDimension)	Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
static <T extends FieldElement<T>> FieldMatrix<T>	MatrixUtils.createRowFieldMatrix(T[] rowData)	Create a row FieldMatrix using the data from the input array.
FieldMatrix<T>	AbstractFieldMatrix.getColumnMatrix(int column)	Get the entries in column number column as a column matrix.
FieldMatrix<T>	BlockFieldMatrix.getColumnMatrix(int column)	Get the entries in column number column as a column matrix.
FieldMatrix<T>	FieldMatrix.getColumnMatrix(int column)	Get the entries in column number column as a column matrix.
FieldMatrix<Complex>	ComplexEigenDecomposition.getD()	Getter D.
FieldMatrix<T>	FieldQRDecomposition.getH()	Returns the Householder reflector vectors.
FieldMatrix<T>	FieldDecompositionSolver.getInverse()	Get the inverse (or pseudo-inverse) of the decomposed matrix.
FieldMatrix<T>	FieldLUDecomposition.getL()	Returns the matrix L of the decomposition.
FieldMatrix<T>	FieldLUDecomposition.getP()	Returns the P rows permutation matrix.
FieldMatrix<T>	FieldQRDecomposition.getQ()	Returns the matrix Q of the decomposition.
FieldMatrix<T>	FieldQRDecomposition.getQT()	Returns the transpose of the matrix Q of the decomposition.
FieldMatrix<T>	FieldQRDecomposition.getR()	Returns the matrix R of the decomposition.
FieldMatrix<T>	AbstractFieldMatrix.getRowMatrix(int row)	Get the entries in row number row as a row matrix.
FieldMatrix<T>	BlockFieldMatrix.getRowMatrix(int row)	Get the entries in row number row as a row matrix.
FieldMatrix<T>	FieldMatrix.getRowMatrix(int row)	Get the entries in row number row as a row matrix.
FieldMatrix<T>	AbstractFieldMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)	Get a submatrix.
FieldMatrix<T>	AbstractFieldMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)	Get a submatrix.
FieldMatrix<T>	Array2DRowFieldMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)	Get a submatrix.
FieldMatrix<T>	BlockFieldMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)	Get a submatrix.
FieldMatrix<T>	FieldMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns)	Get a submatrix.
FieldMatrix<T>	FieldMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn)	Get a submatrix.
FieldMatrix<T>	FieldLUDecomposition.getU()	Returns the matrix U of the decomposition.
FieldMatrix<Complex>	ComplexEigenDecomposition.getV()	Getter V.
FieldMatrix<Complex>	ComplexEigenDecomposition.getVT()	Getter VT.
FieldMatrix<Complex>	OrderedComplexEigenDecomposition.getVT()	Getter VT.
default FieldMatrix<T>	FieldMatrix.map(Function<T,T> function)	Acts as if implemented as:
default FieldMatrix<T>	FieldMatrix.mapToSelf(Function<T,T> function)	Replace each entry by the result of applying the function to it.
FieldMatrix<T>	AbstractFieldMatrix.multiply(FieldMatrix<T> m)	Postmultiply this matrix by m.
FieldMatrix<T>	BlockFieldMatrix.multiply(FieldMatrix<T> m)	Postmultiply this matrix by m.
FieldMatrix<T>	FieldMatrix.multiply(FieldMatrix<T> m)	Postmultiply this matrix by m.
FieldMatrix<T>	Array2DRowFieldMatrix.multiplyTransposed(Array2DRowFieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
FieldMatrix<T>	Array2DRowFieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
default FieldMatrix<T>	FieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
FieldMatrix<T>	SparseFieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
FieldMatrix<T>	ArrayFieldVector.outerProduct(ArrayFieldVector<T> v)	Compute the outer product.
FieldMatrix<T>	ArrayFieldVector.outerProduct(FieldVector<T> v)	Compute the outer product.
FieldMatrix<T>	FieldVector.outerProduct(FieldVector<T> v)	Compute the outer product.
FieldMatrix<T>	SparseFieldVector.outerProduct(FieldVector<T> v)	Compute the outer product.
FieldMatrix<T>	SparseFieldVector.outerProduct(SparseFieldVector<T> v)	Optimized method to compute outer product when both vectors are sparse.
FieldMatrix<T>	AbstractFieldMatrix.power(int p)	Returns the result multiplying this with itself p times.
FieldMatrix<T>	FieldMatrix.power(int p)	Returns the result multiplying this with itself p times.
FieldMatrix<T>	AbstractFieldMatrix.preMultiply(FieldMatrix<T> m)	Premultiply this matrix by m.
FieldMatrix<T>	FieldMatrix.preMultiply(FieldMatrix<T> m)	Premultiply this matrix by m.
FieldMatrix<T>	AbstractFieldMatrix.scalarAdd(T d)	Increment each entry of this matrix.
FieldMatrix<T>	BlockFieldMatrix.scalarAdd(T d)	Increment each entry of this matrix.
FieldMatrix<T>	FieldMatrix.scalarAdd(T d)	Increment each entry of this matrix.
FieldMatrix<T>	AbstractFieldMatrix.scalarMultiply(T d)	Multiply each entry by d.
FieldMatrix<T>	BlockFieldMatrix.scalarMultiply(T d)	Multiply each entry by d.
FieldMatrix<T>	FieldMatrix.scalarMultiply(T d)	Multiply each entry by d.
FieldMatrix<T>	FieldDecompositionSolver.solve(FieldMatrix<T> b)	Solve the linear equation A × X = B for matrices A.
FieldMatrix<T>	AbstractFieldMatrix.subtract(FieldMatrix<T> m)	Subtract m from this matrix.
FieldMatrix<T>	BlockFieldMatrix.subtract(FieldMatrix<T> m)	Subtract m from this matrix.
FieldMatrix<T>	FieldMatrix.subtract(FieldMatrix<T> m)	Subtract m from this matrix.
FieldMatrix<T>	AbstractFieldMatrix.transpose()	Returns the transpose of this matrix.
FieldMatrix<T>	BlockFieldMatrix.transpose()	Returns the transpose of this matrix.
FieldMatrix<T>	FieldMatrix.transpose()	Returns the transpose of this matrix.
FieldMatrix<T>	Array2DRowFieldMatrix.transposeMultiply(Array2DRowFieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.
FieldMatrix<T>	Array2DRowFieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.
default FieldMatrix<T>	FieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.
FieldMatrix<T>	SparseFieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.

Methods in org.hipparchus.linear with parameters of type FieldMatrix

Modifier and Type	Method	Description
FieldMatrix<T>	AbstractFieldMatrix.add(FieldMatrix<T> m)	Compute the sum of this and m.
FieldMatrix<T>	BlockFieldMatrix.add(FieldMatrix<T> m)	Compute the sum of this and m.
FieldMatrix<T>	FieldMatrix.add(FieldMatrix<T> m)	Compute the sum of this and m.
static Array2DRowRealMatrix	MatrixUtils.bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction> m)	Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
default FieldMatrix<T>	FieldMatrix.blendArithmeticallyWith(FieldMatrix<T> other, T blendingValue)	Blend arithmetically this instance with another one.
protected void	AbstractFieldMatrix.checkAdditionCompatible(FieldMatrix<T> m)	Check if a matrix is addition compatible with the instance.
protected void	AbstractFieldMatrix.checkMultiplicationCompatible(FieldMatrix<T> m)	Check if a matrix is multiplication compatible with the instance.
protected void	AbstractFieldMatrix.checkSubtractionCompatible(FieldMatrix<T> m)	Check if a matrix is subtraction compatible with the instance.
FieldDecompositionSolver<T>	FieldLUDecomposer.decompose(FieldMatrix<T> a)	Get a solver for finding the A × X = B solution in least square sense.
FieldDecompositionSolver<T>	FieldMatrixDecomposer.decompose(FieldMatrix<T> a)	Get a solver for finding the A × X = B solution in least square sense.
FieldDecompositionSolver<T>	FieldQRDecomposer.decompose(FieldMatrix<T> a)	Get a solver for finding the A × X = B solution in least square sense.
protected void	ComplexEigenDecomposition.findEigenVectors(FieldMatrix<Complex> matrix)	Compute the eigen vectors using the inverse power method.
static Array2DRowRealMatrix	MatrixUtils.fractionMatrixToRealMatrix(FieldMatrix<Fraction> m)	Convert a FieldMatrix/Fraction matrix to a RealMatrix.
FieldMatrix<T>	AbstractFieldMatrix.multiply(FieldMatrix<T> m)	Postmultiply this matrix by m.
FieldMatrix<T>	BlockFieldMatrix.multiply(FieldMatrix<T> m)	Postmultiply this matrix by m.
FieldMatrix<T>	FieldMatrix.multiply(FieldMatrix<T> m)	Postmultiply this matrix by m.
FieldMatrix<T>	Array2DRowFieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
BlockFieldMatrix<T>	BlockFieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
default FieldMatrix<T>	FieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
FieldMatrix<T>	SparseFieldMatrix.multiplyTransposed(FieldMatrix<T> m)	Returns the result of postmultiplying this by m^T.
FieldMatrix<T>	AbstractFieldMatrix.preMultiply(FieldMatrix<T> m)	Premultiply this matrix by m.
FieldMatrix<T>	FieldMatrix.preMultiply(FieldMatrix<T> m)	Premultiply this matrix by m.
void	AbstractFieldMatrix.setColumnMatrix(int column, FieldMatrix<T> matrix)	Set the entries in column number column as a column matrix.
void	BlockFieldMatrix.setColumnMatrix(int column, FieldMatrix<T> matrix)	Set the entries in column number column as a column matrix.
void	FieldMatrix.setColumnMatrix(int column, FieldMatrix<T> matrix)	Set the entries in column number column as a column matrix.
void	AbstractFieldMatrix.setRowMatrix(int row, FieldMatrix<T> matrix)	Set the entries in row number row as a row matrix.
void	BlockFieldMatrix.setRowMatrix(int row, FieldMatrix<T> matrix)	Set the entries in row number row as a row matrix.
void	FieldMatrix.setRowMatrix(int row, FieldMatrix<T> matrix)	Set the entries in row number row as a row matrix.
FieldMatrix<T>	FieldDecompositionSolver.solve(FieldMatrix<T> b)	Solve the linear equation A × X = B for matrices A.
FieldMatrix<T>	AbstractFieldMatrix.subtract(FieldMatrix<T> m)	Subtract m from this matrix.
FieldMatrix<T>	BlockFieldMatrix.subtract(FieldMatrix<T> m)	Subtract m from this matrix.
FieldMatrix<T>	FieldMatrix.subtract(FieldMatrix<T> m)	Subtract m from this matrix.
FieldMatrix<T>	Array2DRowFieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.
BlockFieldMatrix<T>	BlockFieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.
default FieldMatrix<T>	FieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.
FieldMatrix<T>	SparseFieldMatrix.transposeMultiply(FieldMatrix<T> m)	Returns the result of postmultiplying this^T by m.

Constructors in org.hipparchus.linear with parameters of type FieldMatrix

Modifier	Constructor	Description
	FieldLUDecomposition(FieldMatrix<T> matrix)	Calculates the LU-decomposition of the given matrix.
	FieldLUDecomposition(FieldMatrix<T> matrix, Predicate<T> zeroChecker)	Calculates the LU-decomposition of the given matrix.
	FieldLUDecomposition(FieldMatrix<T> matrix, Predicate<T> zeroChecker, boolean numericPermutationChoice)	Calculates the LU-decomposition of the given matrix.
	FieldQRDecomposition(FieldMatrix<T> matrix)	Calculates the QR-decomposition of the given matrix.
	FieldQRDecomposition(FieldMatrix<T> matrix, T threshold)	Calculates the QR-decomposition of the given matrix.
	FieldQRDecomposition(FieldMatrix<T> matrix, T threshold, Predicate<T> zeroChecker)	Calculates the QR-decomposition of the given matrix.
	SparseFieldMatrix(FieldMatrix<T> other)	Generic copy constructor.