Uses of Class
cern.colt.matrix.tint.IntMatrix2D

Packages that use IntMatrix2D

cern.colt.matrix.tint	Matrix interfaces and factories holding elements of int data type.
cern.colt.matrix.tint.algo	Algorithms operating on integer matrices.
cern.colt.matrix.tint.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of int data type.

Uses of IntMatrix2D in cern.colt.matrix.tint

Methods in cern.colt.matrix.tint that return IntMatrix2D

IntMatrix2D	IntFactory2D.appendColumn(IntMatrix2D A, IntMatrix1D b)
IntMatrix2D	IntFactory2D.appendColumns(IntMatrix2D A, IntMatrix2D B) C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
IntMatrix2D	IntFactory2D.appendRow(IntMatrix2D A, IntMatrix1D b)
IntMatrix2D	IntFactory2D.appendRows(IntMatrix2D A, IntMatrix2D B) C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.
IntMatrix2D	IntFactory2D.ascending(int rows, int columns) Constructs a matrix with cells having ascending values.
IntMatrix2D	IntMatrix2D.assign(int value) Sets all cells to the state specified by value.
IntMatrix2D	IntMatrix2D.assign(int[] values) Sets all cells to the state specified by values.
IntMatrix2D	IntMatrix2D.assign(int[][] values) Sets all cells to the state specified by values.
IntMatrix2D	IntMatrix2D.assign(IntFunction f) Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
IntMatrix2D	IntMatrix2D.assign(IntMatrix2D other) Replaces all cell values of the receiver with the values of another matrix.
IntMatrix2D	IntMatrix2D.assign(IntMatrix2D y, IntIntFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
IntMatrix2D	IntMatrix2D.assign(IntMatrix2D y, IntIntFunction function, IntArrayList rowList, IntArrayList columnList) Assigns the result of a function to all cells with a given indexes
IntMatrix2D	IntMatrix2D.assign(IntProcedure cond, int value) Assigns a value to all cells that satisfy a condition.
IntMatrix2D	IntMatrix2D.assign(IntProcedure cond, IntFunction f) Assigns the result of a function to all cells that satisfy a condition.
IntMatrix2D	IntFactory2D.compose(IntMatrix2D[][] parts) Constructs a block matrix made from the given parts.
IntMatrix2D	IntFactory2D.composeBidiagonal(IntMatrix2D A, IntMatrix2D B)
IntMatrix2D	IntFactory2D.composeDiagonal(IntMatrix2D A, IntMatrix2D B) Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).
IntMatrix2D	IntFactory2D.composeDiagonal(IntMatrix2D A, IntMatrix2D B, IntMatrix2D C) Constructs a diagonal block matrix from the given parts.
IntMatrix2D	IntMatrix2D.copy() Constructs and returns a deep copy of the receiver.
IntMatrix2D	IntFactory2D.descending(int rows, int columns) Constructs a matrix with cells having descending values.
IntMatrix2D	IntFactory2D.diagonal(int[] vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
IntMatrix2D	IntFactory2D.diagonal(IntMatrix1D vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
IntMatrix2D	IntMatrix2D.forEachNonZero(IntIntIntFunction function) Assigns the result of a function to each non-zero cell; x[row,col] = function(x[row,col]).
IntMatrix2D	IntFactory2D.identity(int rowsAndColumns) Constructs an identity matrix (having ones on the diagonal and zeros elsewhere).
IntMatrix2D	IntMatrix2D.like() Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same number of rows and columns.
abstract IntMatrix2D	IntMatrix2D.like(int rows, int columns) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
abstract IntMatrix2D	IntMatrix3D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, sharing the same cells.
abstract IntMatrix2D	IntMatrix1D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
IntMatrix2D	IntFactory2D.make(int[][] values) Constructs a matrix with the given cell values.
IntMatrix2D	IntFactory2D.make(int[] values, int rows) Construct a matrix from a one-dimensional column-major packed array, ala Fortran.
IntMatrix2D	IntFactory2D.make(int rows, int columns) Constructs a matrix with the given shape, each cell initialized with zero.
IntMatrix2D	IntFactory2D.make(int rows, int columns, int initialValue) Constructs a matrix with the given shape, each cell initialized with the given value.
IntMatrix2D	IntFactory2D.random(int rows, int columns) Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
IntMatrix2D	IntFactory2D.repeat(IntMatrix2D A, int rowRepeat, int columnRepeat) C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension.
abstract IntMatrix2D	IntMatrix1D.reshape(int rows, int columns) Returns new IntMatrix2D of size rows x columns whose elements are taken column-wise from this matrix.
IntMatrix2D	IntFactory2D.reshape(IntMatrix1D a, int rows, int columns)
IntMatrix2D	IntFactory2D.sample(int rows, int columns, int value, int nonZeroFraction) Constructs a randomly sampled matrix with the given shape.
IntMatrix2D	IntFactory2D.sample(IntMatrix2D matrix, int value, int nonZeroFraction) Modifies the given matrix to be a randomly sampled matrix.
IntMatrix2D	IntMatrix3D.viewColumn(int column) Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.
IntMatrix2D	IntMatrix2D.viewColumnFlip() Constructs and returns a new flip view aint the column axis.
IntMatrix2D	IntMatrix2D.viewDice() Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
IntMatrix2D	IntMatrix2D.viewPart(int row, int column, int height, int width) Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column].
IntMatrix2D	IntMatrix3D.viewRow(int row) Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.
IntMatrix2D	IntMatrix2D.viewRowFlip() Constructs and returns a new flip view aint the row axis.
IntMatrix2D	IntMatrix2D.viewSelection(int[] rowIndexes, int[] columnIndexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.
IntMatrix2D	IntMatrix2D.viewSelection(IntMatrix1DProcedure condition) Constructs and returns a new selection view that is a matrix holding all rows matching the given condition.
IntMatrix2D	IntMatrix2D.viewSelection(Set<int[]> indexes)
IntMatrix2D	IntMatrix3D.viewSlice(int slice) Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
IntMatrix2D	IntMatrix2D.viewSorted(int column) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
IntMatrix2D	IntMatrix2D.viewStrides(int rowStride, int columnStride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
IntMatrix2D	IntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C) Linear algebraic matrix-matrix multiplication; C = A x B; Equivalent to A.zMult(B,C,1,0,false,false).
IntMatrix2D	IntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB) Linear algebraic matrix-matrix multiplication; C = alpha * A x B + beta*C.

Methods in cern.colt.matrix.tint with parameters of type IntMatrix2D

int	IntMatrix2D.aggregate(IntMatrix2D other, IntIntFunction aggr, IntIntFunction f) Applies a function to each corresponding cell of two matrices and aggregates the results.
IntMatrix2D	IntFactory2D.appendColumn(IntMatrix2D A, IntMatrix1D b)
IntMatrix2D	IntFactory2D.appendColumns(IntMatrix2D A, IntMatrix2D B) C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
IntMatrix2D	IntFactory2D.appendRow(IntMatrix2D A, IntMatrix1D b)
IntMatrix2D	IntFactory2D.appendRows(IntMatrix2D A, IntMatrix2D B) C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.
boolean	IntMatrix2DProcedure.apply(IntMatrix2D element) Applies a procedure to an argument.
IntMatrix2D	IntMatrix2D.assign(IntMatrix2D other) Replaces all cell values of the receiver with the values of another matrix.
IntMatrix2D	IntMatrix2D.assign(IntMatrix2D y, IntIntFunction function) Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
IntMatrix2D	IntMatrix2D.assign(IntMatrix2D y, IntIntFunction function, IntArrayList rowList, IntArrayList columnList) Assigns the result of a function to all cells with a given indexes
IntMatrix2D	IntFactory2D.compose(IntMatrix2D[][] parts) Constructs a block matrix made from the given parts.
IntMatrix2D	IntFactory2D.composeBidiagonal(IntMatrix2D A, IntMatrix2D B)
IntMatrix2D	IntFactory2D.composeDiagonal(IntMatrix2D A, IntMatrix2D B) Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).
IntMatrix2D	IntFactory2D.composeDiagonal(IntMatrix2D A, IntMatrix2D B, IntMatrix2D C) Constructs a diagonal block matrix from the given parts.
void	IntFactory2D.decompose(IntMatrix2D[][] parts, IntMatrix2D matrix) Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
void	IntFactory2D.decompose(IntMatrix2D[][] parts, IntMatrix2D matrix) Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
IntMatrix1D	IntFactory2D.diagonal(IntMatrix2D A) Constructs a new vector consisting of the diagonal elements of A .
IntMatrix2D	IntFactory2D.repeat(IntMatrix2D A, int rowRepeat, int columnRepeat) C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension.
IntMatrix2D	IntFactory2D.sample(IntMatrix2D matrix, int value, int nonZeroFraction) Modifies the given matrix to be a randomly sampled matrix.
IntMatrix2D	IntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C) Linear algebraic matrix-matrix multiplication; C = A x B; Equivalent to A.zMult(B,C,1,0,false,false).
IntMatrix2D	IntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB) Linear algebraic matrix-matrix multiplication; C = alpha * A x B + beta*C.

Uses of IntMatrix2D in cern.colt.matrix.tint.algo

Methods in cern.colt.matrix.tint.algo that return IntMatrix2D

IntMatrix2D	IntSorting.sort(IntMatrix2D matrix, int column) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
IntMatrix2D	IntSorting.sort(IntMatrix2D matrix, int[] aggregates) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
IntMatrix2D	IntSorting.sort(IntMatrix2D matrix, IntMatrix1DComparator c) Sorts the matrix rows according to the order induced by the specified comparator.

Methods in cern.colt.matrix.tint.algo with parameters of type IntMatrix2D

void	IntProperty.checkRectangular(IntMatrix2D A) Checks whether the given matrix A is rectangular.
void	IntProperty.checkSquare(IntMatrix2D A) Checks whether the given matrix A is square.
int	IntMatrix2DComparator.compare(IntMatrix2D o1, IntMatrix2D o2) Compares its two arguments for order.
int	IntProperty.density(IntMatrix2D A) Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
boolean	IntProperty.equals(IntMatrix2D A, int value) Returns whether all cells of the given matrix A are equal to the given value.
boolean	IntProperty.equals(IntMatrix2D A, IntMatrix2D B) Returns whether both given matrices A and B are equal.
String[][]	IntFormatter.format(IntMatrix2D matrix) Returns a string representations of all cells; no alignment considered.
void	IntProperty.generateNonSingular(IntMatrix2D A) Modifies the given matrix square matrix A such that it is diagonally dominant by row and column, hence non-singular, hence invertible.
boolean	IntProperty.isDiagonal(IntMatrix2D A) A matrix A is diagonal if A[i,j] == 0 whenever i != j.
boolean	IntProperty.isDiagonallyDominantByColumn(IntMatrix2D A) A matrix A is diagonally dominant by column if the absolute value of each diagonal element is larger than the sum of the absolute values of the off-diagonal elements in the corresponding column.
boolean	IntProperty.isDiagonallyDominantByRow(IntMatrix2D A) A matrix A is diagonally dominant by row if the absolute value of each diagonal element is larger than the sum of the absolute values of the off-diagonal elements in the corresponding row.
boolean	IntProperty.isIdentity(IntMatrix2D A) A matrix A is an identity matrix if A[i,i] == 1 and all other cells are zero.
boolean	IntProperty.isLowerBidiagonal(IntMatrix2D A) A matrix A is lower bidiagonal if A[i,j]==0 unless i==j || i==j+1.
boolean	IntProperty.isLowerTriangular(IntMatrix2D A) A matrix A is lower triangular if A[i,j]==0 whenever i < j.
boolean	IntProperty.isNonNegative(IntMatrix2D A) A matrix A is non-negative if A[i,j] >= 0 holds for all cells.
boolean	IntProperty.isOrthogonal(IntMatrix2D A) A square matrix A is orthogonal if A*transpose(A) = I.
boolean	IntProperty.isPositive(IntMatrix2D A) A matrix A is positive if A[i,j] > 0 holds for all cells.
boolean	IntProperty.isSkewSymmetric(IntMatrix2D A) A square matrix A is skew-symmetric if A = -transpose(A), that is A[i,j] == -A[j,i].
boolean	IntProperty.isSquare(IntMatrix2D A) A matrix A is square if it has the same number of rows and columns.
boolean	IntProperty.isStrictlyLowerTriangular(IntMatrix2D A) A matrix A is strictly lower triangular if A[i,j]==0 whenever i <= j.
boolean	IntProperty.isStrictlyTriangular(IntMatrix2D A) A matrix A is strictly triangular if it is triangular and its diagonal elements all equal 0.
boolean	IntProperty.isStrictlyUpperTriangular(IntMatrix2D A) A matrix A is strictly upper triangular if A[i,j]==0 whenever i >= j.
boolean	IntProperty.isSymmetric(IntMatrix2D A) A matrix A is symmetric if A = tranpose(A), that is A[i,j] == A[j,i].
boolean	IntProperty.isTriangular(IntMatrix2D A) A matrix A is triangular iff it is either upper or lower triangular.
boolean	IntProperty.isTridiagonal(IntMatrix2D A) A matrix A is tridiagonal if A[i,j]==0 whenever Math.abs(i-j) > 1.
boolean	IntProperty.isUnitTriangular(IntMatrix2D A) A matrix A is unit triangular if it is triangular and its diagonal elements all equal 1.
boolean	IntProperty.isUpperBidiagonal(IntMatrix2D A) A matrix A is upper bidiagonal if A[i,j]==0 unless i==j || i==j-1.
boolean	IntProperty.isUpperTriangular(IntMatrix2D A) A matrix A is upper triangular if A[i,j]==0 whenever i > j.
boolean	IntProperty.isZero(IntMatrix2D A) A matrix A is zero if all its cells are zero.
int	IntProperty.lowerBandwidth(IntMatrix2D A) The lower bandwidth of a square matrix A is the maximum i-j for which A[i,j] is nonzero and i > j.
int	IntProperty.semiBandwidth(IntMatrix2D A) Returns the semi-bandwidth of the given square matrix A.
IntMatrix2D	IntSorting.sort(IntMatrix2D matrix, int column) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
IntMatrix2D	IntSorting.sort(IntMatrix2D matrix, int[] aggregates) Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
IntMatrix2D	IntSorting.sort(IntMatrix2D matrix, IntMatrix1DComparator c) Sorts the matrix rows according to the order induced by the specified comparator.
String	IntFormatter.toSourceCode(IntMatrix2D matrix) Returns a string s such that Object[] m = s is a legal Java statement.
String	IntProperty.toString(IntMatrix2D A) Returns summary information about the given matrix A.
String	IntFormatter.toString(IntMatrix2D matrix) Returns a string representation of the given matrix.
int	IntProperty.upperBandwidth(IntMatrix2D A) The upper bandwidth of a square matrix A is the maximum j-i for which A[i,j] is nonzero and j > i.

Uses of IntMatrix2D in cern.colt.matrix.tint.impl

Subclasses of IntMatrix2D in cern.colt.matrix.tint.impl

class	DenseColumnIntMatrix2D Dense 2-d matrix holding int elements.
class	DenseIntMatrix2D Dense 2-d matrix holding int elements.
class	DenseLargeIntMatrix2D Dense 2-d matrix holding int elements.
class	DiagonalIntMatrix2D Diagonal 2-d matrix holding int elements.
class	SparseCCIntMatrix2D Sparse column-compressed 2-d matrix holding int elements.
class	SparseCCMIntMatrix2D Sparse column-compressed-modified 2-d matrix holding int elements.
class	SparseIntMatrix2D Sparse hashed 2-d matrix holding int elements.
class	SparseRCIntMatrix2D Sparse row-compressed 2-d matrix holding int elements.
class	SparseRCMIntMatrix2D Sparse row-compressed-modified 2-d matrix holding int elements.
class	WrapperIntMatrix2D 2-d matrix holding int elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Methods in cern.colt.matrix.tint.impl that return IntMatrix2D

IntMatrix2D	SparseRCIntMatrix2D.assign(int value)
IntMatrix2D	SparseIntMatrix2D.assign(int value)
IntMatrix2D	SparseCCIntMatrix2D.assign(int value)
IntMatrix2D	DiagonalIntMatrix2D.assign(int value)
IntMatrix2D	DenseIntMatrix2D.assign(int value)
IntMatrix2D	DenseColumnIntMatrix2D.assign(int value)
IntMatrix2D	WrapperIntMatrix2D.assign(int[] values)
IntMatrix2D	DiagonalIntMatrix2D.assign(int[] values)
IntMatrix2D	DenseIntMatrix2D.assign(int[] values)
IntMatrix2D	DenseColumnIntMatrix2D.assign(int[] values)
IntMatrix2D	DiagonalIntMatrix2D.assign(int[][] values)
IntMatrix2D	DenseIntMatrix2D.assign(int[][] values)
IntMatrix2D	DenseColumnIntMatrix2D.assign(int[][] values)
IntMatrix2D	SparseRCIntMatrix2D.assign(IntFunction function)
IntMatrix2D	SparseIntMatrix2D.assign(IntFunction function)
IntMatrix2D	SparseCCIntMatrix2D.assign(IntFunction function)
IntMatrix2D	DiagonalIntMatrix2D.assign(IntFunction function)
IntMatrix2D	DenseIntMatrix2D.assign(IntFunction function)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntFunction function)
IntMatrix2D	SparseRCIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	SparseIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	SparseCCIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	DiagonalIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	DenseIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	WrapperIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	SparseRCIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	SparseIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	SparseCCIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DiagonalIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DenseIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DenseIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function, IntArrayList rowList, IntArrayList columnList)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function, IntArrayList rowList, IntArrayList columnList)
IntMatrix2D	DenseIntMatrix2D.assign(IntProcedure cond, int value)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntProcedure cond, int value)
IntMatrix2D	DenseIntMatrix2D.assign(IntProcedure cond, IntFunction function)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntProcedure cond, IntFunction function)
IntMatrix2D	SparseRCIntMatrix2D.forEachNonZero(IntIntIntFunction function)
IntMatrix2D	SparseIntMatrix2D.forEachNonZero(IntIntIntFunction function)
IntMatrix2D	SparseCCIntMatrix2D.forEachNonZero(IntIntIntFunction function)
IntMatrix2D	DiagonalIntMatrix2D.forEachNonZero(IntIntIntFunction function)
IntMatrix2D	DenseIntMatrix2D.forEachNonZero(IntIntIntFunction function)
IntMatrix2D	DenseColumnIntMatrix2D.forEachNonZero(IntIntIntFunction function)
IntMatrix2D	WrapperIntMatrix2D.like(int rows, int columns)
IntMatrix2D	SparseRCMIntMatrix2D.like(int rows, int columns)
IntMatrix2D	SparseRCIntMatrix2D.like(int rows, int columns)
IntMatrix2D	SparseIntMatrix2D.like(int rows, int columns)
IntMatrix2D	SparseCCMIntMatrix2D.like(int rows, int columns)
IntMatrix2D	SparseCCIntMatrix2D.like(int rows, int columns)
IntMatrix2D	DiagonalIntMatrix2D.like(int rows, int columns)
IntMatrix2D	DenseLargeIntMatrix2D.like(int rows, int columns)
IntMatrix2D	DenseIntMatrix2D.like(int rows, int columns)
IntMatrix2D	DenseColumnIntMatrix2D.like(int rows, int columns)
IntMatrix2D	WrapperIntMatrix3D.like2D(int rows, int columns)
IntMatrix2D	WrapperIntMatrix1D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
IntMatrix2D	SparseIntMatrix3D.like2D(int rows, int columns)
IntMatrix2D	SparseIntMatrix1D.like2D(int rows, int columns) Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
IntMatrix2D	DenseIntMatrix3D.like2D(int rows, int columns)
IntMatrix2D	DenseIntMatrix1D.like2D(int rows, int columns)
IntMatrix2D	WrapperIntMatrix1D.reshape(int rows, int columns)
IntMatrix2D	SparseIntMatrix1D.reshape(int rows, int columns)
IntMatrix2D	DenseIntMatrix1D.reshape(int rows, int columns)
IntMatrix2D	WrapperIntMatrix3D.viewColumn(int column)
IntMatrix2D	WrapperIntMatrix2D.viewColumnFlip()
IntMatrix2D	WrapperIntMatrix2D.viewDice()
IntMatrix2D	WrapperIntMatrix2D.viewPart(int row, int column, int height, int width)
IntMatrix2D	WrapperIntMatrix3D.viewRow(int row)
IntMatrix2D	WrapperIntMatrix2D.viewRowFlip()
IntMatrix2D	WrapperIntMatrix2D.viewSelection(int[] rowIndexes, int[] columnIndexes)
IntMatrix2D	WrapperIntMatrix3D.viewSlice(int slice)
IntMatrix2D	WrapperIntMatrix2D.viewStrides(int _rowStride, int _columnStride)
IntMatrix2D	SparseRCIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)
IntMatrix2D	SparseIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)
IntMatrix2D	SparseCCIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)
IntMatrix2D	DenseIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)

Methods in cern.colt.matrix.tint.impl with parameters of type IntMatrix2D

int	DenseIntMatrix2D.aggregate(IntMatrix2D other, IntIntFunction aggr, IntIntFunction f)
int	DenseColumnIntMatrix2D.aggregate(IntMatrix2D other, IntIntFunction aggr, IntIntFunction f)
IntMatrix2D	SparseRCIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	SparseIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	SparseCCIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	DiagonalIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	DenseIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntMatrix2D source)
IntMatrix2D	WrapperIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	SparseRCIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	SparseIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	SparseCCIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DiagonalIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DenseIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function)
IntMatrix2D	DenseIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function, IntArrayList rowList, IntArrayList columnList)
IntMatrix2D	DenseColumnIntMatrix2D.assign(IntMatrix2D y, IntIntFunction function, IntArrayList rowList, IntArrayList columnList)
IntMatrix2D	SparseRCIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)
IntMatrix2D	SparseIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)
IntMatrix2D	SparseCCIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)
IntMatrix2D	DenseIntMatrix2D.zMult(IntMatrix2D B, IntMatrix2D C, int alpha, int beta, boolean transposeA, boolean transposeB)

Constructors in cern.colt.matrix.tint.impl with parameters of type IntMatrix2D

WrapperIntMatrix2D(IntMatrix2D newContent)