Class AbstractDenseSemiringMatrix<T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

java.lang.Object

org.flag4j.arrays.backend.AbstractTensor<T,V[],V>

org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor<T,V>

org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix<T,U,V>

Type Parameters:

T - The type of this matrix.

U - The type of the vector which is of similar type to T.

V - The type of the semiring the data of the matrix belong to.

All Implemented Interfaces:

Serializable, MatrixMixin<T,T,U,V>, SemiringTensorMixin<T,T,V>, TensorOverSemiring<T,T,V[],V>

Direct Known Subclasses:

AbstractDenseRingMatrix, SemiringMatrix

public abstract class AbstractDenseSemiringMatrix<T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>
extends AbstractDenseSemiringTensor<T,V>
implements MatrixMixin<T,T,U,V>

The base class for all dense matrices whose elements are members of a Semiring.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
final int	numCols	The number of columns in this matrix.
final int	numRows	The number of rows in this matrix.

Fields inherited from class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor

zeroElement

Fields inherited from class org.flag4j.arrays.backend.AbstractTensor

data, rank, shape

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	AbstractDenseSemiringMatrix(Shape shape, V[] entries)	Creates a tensor with the specified data and shape.

Method Summary

Modifier and Type	Method	Description
T	augment(T b)	Stacks matrices along rows.
T	augment(U b)	Augments a vector to this matrix.
int	dataLength()	Gets the length of the data array which backs this matrix.
T	flatten()	Flattens this matrix to a row vector.
T	flatten(int axis)	Flattens this matrix along the specified axis.
V	get(int row, int col)	Gets the element of this matrix at this specified row and col.
U	getCol(int colIdx, int rowStart, int rowEnd)	Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).
U	getDiag(int diagOffset)	Gets the elements of this matrix along the specified diagonal.
U	getRow(int rowIdx, int colStart, int colEnd)	Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).
T	getSlice(int rowStart, int rowEnd, int colStart, int colEnd)	Gets a specified slice of this matrix.
T	getTriL(int diagOffset)	Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
T	getTriU(int diagOffset)	Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
T	H()	Computes the Hermitian transpose of this matrix.
boolean	isHermitian()	Checks if a matrix is Hermitian.
boolean	isI()	Checks if this matrix is the identity matrix.
boolean	isOrthogonal()	Checks if this matrix is orthogonal.
boolean	isSymmetric()	Checks if a matrix is symmetric.
boolean	isTriL()	Checks if this matrix is lower triangular.
boolean	isTriU()	Checks if this matrix is upper triangular.
protected abstract AbstractCooSemiringMatrix<?,T,?,V>	makeLikeCooMatrix(Shape shape, V[] entries, int[] rowIndices, int[] colIndices)	Constructs a sparse COO matrix which is of a similar type as this dense matrix.
abstract AbstractCsrSemiringMatrix<?,T,?,V>	makeLikeCsrMatrix(Shape shape, V[] entries, int[] rowPointers, int[] colIndices)	Constructs a sparse CSR matrix which is of a similar type as this dense matrix.
protected abstract U	makeLikeVector(Shape shape, V[] entries)	Constructs a vector of a similar type as this matrix.
protected abstract U	makeLikeVector(V[] entries)	Constructs a vector of a similar type as this matrix.
T	mult(T b)	Computes the matrix multiplication between two matrices.
U	mult(U b)	Computes the matrix-vector multiplication of a vector with this matrix.
T	multTranspose(T b)	Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
int	numCols()	Gets the number of columns in this matrix.
int	numRows()	Gets the number of rows in this matrix.
T	removeCol(int colIndex)	Removes a specified column from this matrix.
T	removeCols(int... colIndices)	Removes a specified set of columns from this matrix.
T	removeRow(int rowIndex)	Removes a specified row from this matrix.
T	removeRows(int... rowIndices)	Removes a specified set of rows from this matrix.
T	set(V value, int row, int col)	Sets an index of this matrix to the specified value.
T	setCol(U col, int colIdx)	Sets a specified column of this matrix to a vector.
T	setCol(V[] col, int colIdx)	Sets a specified column of this matrix to an array.
T	setRow(U row, int rowIdx)	Sets a specified row of this matrix to a vector.
T	setRow(V[] row, int rowIdx)	Sets a specified row of this matrix to an array.
T	setSlice(T values, int rowStart, int colStart)	Sets a slice of this matrix to the specified values.
T	setSliceCopy(T values, int rowStart, int colStart)	Creates a copy of this matrix and sets a slice of the copy to the specified values.
T	setValues(V[][] values)	Sets the value of this matrix using a 2D array.
T	stack(T b)	Stacks matrices along columns.
T	swapCols(int colIndex1, int colIndex2)	Swaps specified columns in the matrix.
T	swapRows(int rowIndex1, int rowIndex2)	Swaps specified rows in the matrix.
T	T()	Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
AbstractCooSemiringMatrix<?,?,?,V>	toCoo()	Converts this matrix to an equivalent sparse COO matrix.
AbstractCooSemiringMatrix<?,?,?,V>	toCoo(double estimatedSparsity)	Converts this matrix to an equivalent sparse COO matrix.
AbstractCsrSemiringMatrix<?,?,?,V>	toCsr()	Converts this matrix to an equivalent sparse CSR matrix.
AbstractCsrSemiringMatrix<?,?,?,V>	toCsr(double estimatedSparsity)	Converts this matrix to an equivalent sparse CSR matrix.
abstract AbstractDenseSemiringTensor<?,V>	toTensor()	Converts this matrix to an equivalent tensor.
abstract AbstractDenseSemiringTensor<?,V>	toTensor(Shape newShape)	Converts this matrix to an equivalent tensor with the specified newShape.
U	toVector()	Converts this matrix to an equivalent vector.
V	tr()	Computes the trace of this matrix.

Methods inherited from class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor

add, addEq, argmax, argmin, copy, elemMult, get, getZeroElement, makeLikeCooTensor, max, min, reshape, set, setZeroElement, T, T, tensorDot, tensorTr

Methods inherited from class org.flag4j.arrays.backend.AbstractTensor

getData, getRank, getShape, makeLikeTensor, reshape, sameShape, totalEntries

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.flag4j.arrays.backend.MatrixMixin

accept, add, copy, div, elemMult, fib, getCol, getDiag, getRow, getShape, getTriL, getTriU, isDiag, isSquare, isTri, isVector, stack, sub, trace, vectorType

Methods inherited from interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin

add, addEq, isOnes, isZeros, makeEmptyDataArray, mult, multEq, prod, sum

Methods inherited from interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring

getData, getRank, getShape, makeLikeTensor, tensorDot, tensorDot, tensorDot, tensorTr

Field Details

numRows

public final int numRows

The number of rows in this matrix.

numCols

public final int numCols

The number of columns in this matrix.

Constructor Details

AbstractDenseSemiringMatrix

protected AbstractDenseSemiringMatrix(Shape shape,
 V[] entries)

Creates a tensor with the specified data and shape.

Parameters:

shape - Shape of this tensor.

entries - Entries of this tensor. If this tensor is dense, this specifies all data within the tensor. If this tensor is sparse, this specifies only the non-zero data of the tensor.

Method Details

makeLikeVector

protected abstract U makeLikeVector(Shape shape,
 V[] entries)

Constructs a vector of a similar type as this matrix.

Parameters:

shape - Shape of the vector to construct. Must be rank 1.

entries - Entries of the vector.

Returns:

A vector of a similar type as this matrix.

makeLikeVector

protected abstract U makeLikeVector(V[] entries)

Constructs a vector of a similar type as this matrix.

Parameters:

entries - Entries of the vector.

Returns:

A vector of a similar type as this matrix.

makeLikeCooMatrix

protected abstract AbstractCooSemiringMatrix<?,T,?,V> makeLikeCooMatrix(Shape shape,
 V[] entries,
 int[] rowIndices,
 int[] colIndices)

Constructs a sparse COO matrix which is of a similar type as this dense matrix.

Parameters:

shape - Shape of the COO matrix.

entries - Non-zero data of the COO matrix.

rowIndices - Non-zero row indices of the COO matrix.

colIndices - Non-zero column indices of the COO matrix.

Returns:

A sparse COO matrix which is of a similar type as this dense matrix.

makeLikeCsrMatrix

public abstract AbstractCsrSemiringMatrix<?,T,?,V> makeLikeCsrMatrix(Shape shape,
 V[] entries,
 int[] rowPointers,
 int[] colIndices)

Constructs a sparse CSR matrix which is of a similar type as this dense matrix.

Parameters:

shape - Shape of the CSR matrix.

entries - Non-zero data of the CSR matrix.

rowPointers - Non-zero row pointers of the CSR matrix.

colIndices - Non-zero column indices of the CSR matrix.

Returns:

A sparse CSR matrix which is of a similar type as this dense matrix.

T

public T T()

Computes the transpose of a tensor by exchanging the first and last axes of this tensor.

Specified by:

T in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Overrides:

T in class AbstractTensor<T extends AbstractDenseSemiringMatrix<T,U,V>,V extends Semiring<V>[],V extends Semiring<V>>

Returns:

The transpose of this tensor.

See Also:

• AbstractDenseSemiringTensor.T(int, int)
• AbstractDenseSemiringTensor.T(int...)

numRows

public int numRows()

Gets the number of rows in this matrix.

Specified by:

numRows in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

The number of rows in this matrix.

numCols

public int numCols()

Gets the number of columns in this matrix.

Specified by:

numCols in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

The number of columns in this matrix.

dataLength

public int dataLength()

Gets the length of the data array which backs this matrix.

Specified by:

dataLength in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

The length of the data array which backs this matrix.

get

public V get(int row,
 int col)

Gets the element of this matrix at this specified row and col.

Specified by:

get in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

row - Row index of the item to get from this matrix.

col - Column index of the item to get from this matrix.

Returns:

The element of this matrix at the specified index.

tr

public V tr()

Computes the trace of this matrix. That is, the sum of elements along the principle diagonal of this matrix.

Same as MatrixMixin.trace().

Specified by:

tr in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

The trace of this matrix.

Throws:

IllegalArgumentException - If this matrix is not square.

isTriU

public boolean isTriU()

Checks if this matrix is upper triangular.

Specified by:

isTriU in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

true is this matrix is upper triangular; false otherwise.

See Also:

• MatrixMixin.isTri()
• isTriL()
• MatrixMixin.isDiag()

isTriL

public boolean isTriL()

Checks if this matrix is lower triangular.

Specified by:

isTriL in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

true is this matrix is lower triangular; false otherwise.

See Also:

• MatrixMixin.isTri()
• isTriU()
• MatrixMixin.isDiag()

isI

public boolean isI()

Checks if this matrix is the identity matrix. That is, checks if this matrix is square and contains only ones along the principle diagonal and zeros everywhere else.

Specified by:

isI in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

true if this matrix is the identity matrix; false otherwise.

mult

public U mult(U b)

Computes the matrix-vector multiplication of a vector with this matrix.

Specified by:

mult in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

b - Vector in the matrix-vector multiplication.

Returns:

The result of multiplying this matrix with b.

Throws:

LinearAlgebraException - If the number of columns in this matrix do not equal the size of b.

mult

public T mult(T b)

Computes the matrix multiplication between two matrices.

Specified by:

mult in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

b - Second matrix in the matrix multiplication.

Returns:

The result of matrix multiplying this matrix with matrix b.

Throws:

LinearAlgebraException - If the number of columns in this matrix do not equal the number of rows in matrix b.

multTranspose

public T multTranspose(T b)

Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()). For large matrices, this method may, be noticeably faster than directly computing the transpose followed by the multiplication as this.mult(b.T()).

Specified by:

multTranspose in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

b - The second matrix in the multiplication and the matrix to transpose.

Returns:

The result of multiplying this matrix with the transpose of b.

stack

public T stack(T b)

Stacks matrices along columns.

Specified by:

stack in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

b - Matrix to stack to this matrix.

Returns:

The result of stacking this matrix on top of the matrix b.

Throws:

IllegalArgumentException - If this matrix and matrix b have a different number of columns.

See Also:

• MatrixMixin.stack(MatrixMixin, int)
• augment(T)

augment

public T augment(T b)

Stacks matrices along rows.

Specified by:

augment in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

b - Matrix to stack to this matrix.

Returns:

The result of stacking b to the right of this matrix.

Throws:

IllegalArgumentException - If this matrix and matrix b have a different number of rows.

See Also:

• stack(T)
• stack(AbstractDenseSemiringMatrix)

augment

public T augment(U b)

Augments a vector to this matrix.

Specified by:

augment in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

b - The vector to augment to this matrix.

Returns:

The result of augmenting b to this matrix.

swapRows

public T swapRows(int rowIndex1,
 int rowIndex2)

Swaps specified rows in the matrix. This is done in place.

Specified by:

swapRows in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

rowIndex1 - Index of the first row to swap.

rowIndex2 - Index of the second row to swap.

Returns:

A reference to this matrix.

Throws:

IndexOutOfBoundsException - If either index is outside the matrix bounds.

swapCols

public T swapCols(int colIndex1,
 int colIndex2)

Swaps specified columns in the matrix. This is done in place.

Specified by:

swapCols in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

colIndex1 - Index of the first column to swap.

colIndex2 - Index of the second column to swap.

Returns:

A reference to this matrix.

Throws:

ArrayIndexOutOfBoundsException - If either index is outside the matrix bounds.

isSymmetric

public boolean isSymmetric()

Checks if a matrix is symmetric. That is, if the matrix is square and equal to its transpose.

Specified by:

isSymmetric in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

true if this matrix is symmetric; false otherwise.

isHermitian

public boolean isHermitian()

Checks if a matrix is Hermitian. That is, if the matrix is square and equal to its conjugate transpose.

Specified by:

isHermitian in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

true if this matrix is Hermitian; false otherwise.

isOrthogonal

public boolean isOrthogonal()

Checks if this matrix is orthogonal. That is, if the inverse of this matrix is approximately equal to its transpose.

Specified by:

isOrthogonal in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

true if this matrix it is orthogonal; false otherwise.

removeRow

public T removeRow(int rowIndex)

Removes a specified row from this matrix.

Specified by:

removeRow in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

rowIndex - Index of the row to remove from this matrix.

Returns:

A copy of this matrix with the specified row removed.

removeRows

public T removeRows(int... rowIndices)

Removes a specified set of rows from this matrix.

Specified by:

removeRows in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

rowIndices - The indices of the rows to remove from this matrix. Assumed to contain unique values.

Returns:

a copy of this matrix with the specified column removed.

removeCol

public T removeCol(int colIndex)

Removes a specified column from this matrix.

Specified by:

removeCol in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

colIndex - Index of the column to remove from this matrix.

Returns:

a copy of this matrix with the specified column removed.

removeCols

public T removeCols(int... colIndices)

Removes a specified set of columns from this matrix.

Specified by:

removeCols in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

colIndices - Indices of the columns to remove from this matrix. Assumed to contain unique values.

Returns:

a copy of this matrix with the specified column removed.

setSlice

public T setSlice(T values,
 int rowStart,
 int colStart)

Sets a slice of this matrix to the specified values. The rowStart and colStart parameters specify the upper left index location of the slice to set within this matrix.

Parameters:

values - New values for the specified slice.

rowStart - Starting row index for the slice (inclusive).

colStart - Starting column index for the slice (inclusive).

Returns:

A reference to this matrix.

Throws:

IllegalArgumentException - If rowStart or colStart are not within the matrix.

IllegalArgumentException - If the values slice, with upper left corner at the specified location, does not fit completely within this matrix.

setSliceCopy

public T setSliceCopy(T values,
 int rowStart,
 int colStart)

Creates a copy of this matrix and sets a slice of the copy to the specified values. The rowStart and colStart parameters specify the upper left index location of the slice to set.

Specified by:

setSliceCopy in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

values - New values for the specified slice.

rowStart - Starting row index for the slice (inclusive).

colStart - Starting column index for the slice (inclusive).

Returns:

A copy of this matrix with the given slice set to the specified values.

Throws:

IndexOutOfBoundsException - If rowStart or colStart are not within the matrix.

IllegalArgumentException - If the values slice, with upper left corner at the specified location, does not fit completely within this matrix.

getSlice

public T getSlice(int rowStart,
 int rowEnd,
 int colStart,
 int colEnd)

Gets a specified slice of this matrix.

Specified by:

getSlice in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

rowStart - Starting row index of slice (inclusive).

rowEnd - Ending row index of slice (exclusive).

colStart - Starting column index of slice (inclusive).

colEnd - Ending row index of slice (exclusive).

Returns:

The specified slice of this matrix. This is a completely new matrix and NOT a view into the matrix.

Throws:

ArrayIndexOutOfBoundsException - If any of the indices are out of bounds of this matrix.

IllegalArgumentException - If rowEnd is not greater than rowStart or if colEnd is not greater than colStart.

set

public T set(V value,
 int row,
 int col)

Sets an index of this matrix to the specified value.

Specified by:

set in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

value - Value to set.

row - Row index to set.

col - Column index to set.

Returns:

A reference to this matrix.

setValues

public T setValues(V[][] values)

Sets the value of this matrix using a 2D array.

Parameters:

values - New values of the matrix.

Returns:

A reference to this matrix.

Throws:

IllegalArgumentException - If the values array has a different shape then this matrix.

getTriU

public T getTriU(int diagOffset)

Extracts the upper-triangular portion of this matrix with a specified diagonal offset. All other data of the resulting matrix will be zero.

Specified by:

getTriU in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

diagOffset - Diagonal offset for upper-triangular portion to extract:

• If zero, then all data at and above the principle diagonal of this matrix are extracted.
• If positive, then all data at and above the equivalent super-diagonal are extracted.
• If negative, then all data at and above the equivalent sub-diagonal are extracted.

Returns:

The upper-triangular portion of this matrix with a specified diagonal offset. All other data of the returned matrix will be zero.

Throws:

IllegalArgumentException - If diagOffset is not in the range (-numRows, numCols).

getTriL

public T getTriL(int diagOffset)

Extracts the lower-triangular portion of this matrix with a specified diagonal offset. All other data of the resulting matrix will be zero.

Specified by:

getTriL in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

diagOffset - Diagonal offset for lower-triangular portion to extract:

• If zero, then all data at and above the principle diagonal of this matrix are extracted.
• If positive, then all data at and above the equivalent super-diagonal are extracted.
• If negative, then all data at and above the equivalent sub-diagonal are extracted.

Returns:

The lower-triangular portion of this matrix with a specified diagonal offset. All other data of the returned matrix will be zero.

Throws:

IllegalArgumentException - If diagOffset is not in the range (-numRows, numCols).

getDiag

public U getDiag(int diagOffset)

Gets the elements of this matrix along the specified diagonal.

Specified by:

getDiag in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

diagOffset - The diagonal to get within this matrix.

• If diagOffset == 0: Then the elements of the principle diagonal are collected.
• If diagOffset < 0: Then the elements of the sub-diagonal diagOffset below the principle diagonal are collected.
• If diagOffset > 0: Then the elements of the super-diagonal diagOffset above the principle diagonal are collected.

Returns:

The elements of the specified diagonal as a vector.

setRow

public T setRow(U row,
 int rowIdx)

Sets a specified row of this matrix to a vector.

Specified by:

setRow in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

row - Vector to replace specified row in this matrix.

rowIdx - Index of the row to set.

Returns:

If this matrix is dense, the row set operation is done in place and a reference to this matrix is returned. If this matrix is sparse a copy will be created with the new row and returned.

setRow

public T setRow(V[] row,
 int rowIdx)

Sets a specified row of this matrix to an array.

Parameters:

row - Array containing values to replace specified row in this matrix.

rowIdx - Index of the row to set.

Returns:

If this matrix is dense, the row set operation is done in place and a reference to this matrix is returned. If this matrix is sparse a copy will be created with the new row and returned.

setCol

public T setCol(U col,
 int colIdx)

Sets a specified column of this matrix to a vector.

Specified by:

setCol in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

col - Vector to replace specified column in this matrix.

colIdx - Index of the column to set.

Returns:

If this matrix is dense, the column set operation is done in place and a reference to this matrix is returned. If this matrix is sparse a copy will be created with the new column and returned.

setCol

public T setCol(V[] col,
 int colIdx)

Sets a specified column of this matrix to an array.

Parameters:

col - Vector to replace specified column in this matrix.

colIdx - Index of the column to set.

Returns:

If this matrix is dense, the column set operation is done in place and a reference to this matrix is returned. If this matrix is sparse a copy will be created with the new column and returned.

getRow

public U getRow(int rowIdx,
 int colStart,
 int colEnd)

Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).

Specified by:

getRow in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

rowIdx - Index of the row of this matrix to get.

colStart - Starting column of the row (inclusive).

colEnd - Ending column of the row (exclusive).

Returns:

The row at index rowIdx of this matrix between the colStart and colEnd indices.

Throws:

IndexOutOfBoundsException - If either colEnd are colStart out of bounds for the shape of this matrix.

IllegalArgumentException - If colEnd is less than colStart.

getCol

public U getCol(int colIdx,
 int rowStart,
 int rowEnd)

Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).

Specified by:

getCol in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Parameters:

colIdx - Index of the column of this matrix to get.

rowStart - Starting row of the column (inclusive).

rowEnd - Ending row of the column (exclusive).

Returns:

The column at index colIdx of this matrix between the rowStart and rowEnd indices.

Throws:

IndexOutOfBoundsException - If either colEnd are colStart out of bounds for the shape of this matrix.

IllegalArgumentException - If rowEnd is less than rowStart.

flatten

public T flatten()

Flattens this matrix to a row vector.

Overrides:

flatten in class AbstractDenseSemiringTensor<T extends AbstractDenseSemiringMatrix<T,U,V>,V extends Semiring<V>>

Returns:

The flattened matrix.

See Also:

• flatten(int)

flatten

public T flatten(int axis)

Flattens this matrix along the specified axis.

Overrides:

flatten in class AbstractDenseSemiringTensor<T extends AbstractDenseSemiringMatrix<T,U,V>,V extends Semiring<V>>

Parameters:

axis - Axis along which to flatten tensor.

Returns:

If axis == 0 a matrix with the shape (1, this.numRows*this.numCols) is returned. If axis == 1 a matrix with the shape (this.numRows*this.numCols, 1) is returned.

Throws:

ArrayIndexOutOfBoundsException - If the axis is not positive or larger than this.{@link #getRank()}-1.

See Also:

• flatten()

H

public T H()

Computes the Hermitian transpose of this matrix.

Specified by:

H in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

The Hermitian transpose of this matrix.

toCoo

public AbstractCooSemiringMatrix<?,?,?,V> toCoo()

Converts this matrix to an equivalent sparse COO matrix.

Overrides:

toCoo in class AbstractDenseSemiringTensor<T extends AbstractDenseSemiringMatrix<T,U,V>,V extends Semiring<V>>

Returns:

A sparse COO matrix that is equivalent to this dense matrix.

See Also:

• toCoo(double)

toCoo

public AbstractCooSemiringMatrix<?,?,?,V> toCoo(double estimatedSparsity)

Converts this matrix to an equivalent sparse COO matrix.

Overrides:

toCoo in class AbstractDenseSemiringTensor<T extends AbstractDenseSemiringMatrix<T,U,V>,V extends Semiring<V>>

Parameters:

estimatedSparsity - Estimated sparsity of the matrix. Must be between 0 and 1 inclusive. If this is an accurate estimation it may provide a slight speedup and can reduce unneeded memory consumption. If memory is a concern, it is better to over-estimate the sparsity. If speed is the concern it is better to under-estimate the sparsity.

Returns:

A sparse COO matrix that is equivalent to this dense matrix.

See Also:

• toCoo()

toCsr

public AbstractCsrSemiringMatrix<?,?,?,V> toCsr()

Converts this matrix to an equivalent sparse CSR matrix.

Returns:

A sparse CSR matrix that is equivalent to this dense matrix.

See Also:

• toCsr(double)

toCsr

public AbstractCsrSemiringMatrix<?,?,?,V> toCsr(double estimatedSparsity)

Converts this matrix to an equivalent sparse CSR matrix.

Parameters:

estimatedSparsity - Estimated sparsity of the matrix. Must be between 0 and 1 inclusive. If this is an accurate estimation it may provide a slight speedup and can reduce unneeded memory consumption. If memory is a concern, it is better to over-estimate the sparsity. If speed is the concern it is better to under-estimate the sparsity.

Returns:

A sparse CSR matrix that is equivalent to this dense matrix.

See Also:

• toCsr()

toVector

public U toVector()

Converts this matrix to an equivalent vector. If this matrix is not a row or column vector it will first be flattened then converted to a vector.

Specified by:

toVector in interface MatrixMixin<T extends AbstractDenseSemiringMatrix<T,U,V>,T extends AbstractDenseSemiringMatrix<T,U,V>,U extends AbstractDenseSemiringVector<U,T,V>,V extends Semiring<V>>

Returns:

A vector which contains the same data as this matrix.

toTensor

public abstract AbstractDenseSemiringTensor<?,V> toTensor()

Converts this matrix to an equivalent tensor.

Returns:

A tensor with the same shape and data as this matrix.

toTensor

public abstract AbstractDenseSemiringTensor<?,V> toTensor(Shape newShape)

Converts this matrix to an equivalent tensor with the specified newShape.

Parameters:

newShape - Shape of the tensor. Can be any rank but must be broadcastable to the shape of this matrix.

Returns:

A tensor with the specified newShape and the same data as this matrix.