Uses of Class
cern.colt.matrix.tint.IntMatrix1D

Packages that use IntMatrix1D

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 IntMatrix1D in cern.colt.matrix.tint

Methods in cern.colt.matrix.tint that return IntMatrix1D

IntMatrix1D	IntFactory1D.append(IntMatrix1D A, IntMatrix1D B) C = A||B; Constructs a new matrix which is the concatenation of two other matrices.
IntMatrix1D	IntFactory1D.ascending(int size) Constructs a matrix with cells having ascending values.
IntMatrix1D	IntMatrix1D.assign(int value) Sets all cells to the state specified by value.
IntMatrix1D	IntMatrix1D.assign(int[] values) Sets all cells to the state specified by values.
IntMatrix1D	IntMatrix1D.assign(IntFunction f) Assigns the result of a function to each cell; x[i] = function(x[i]).
IntMatrix1D	IntMatrix1D.assign(IntMatrix1D other) Replaces all cell values of the receiver with the values of another matrix.
IntMatrix1D	IntMatrix1D.assign(IntMatrix1D y, IntIntFunction function) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
IntMatrix1D	IntMatrix1D.assign(IntMatrix1D y, IntIntFunction function, IntArrayList nonZeroIndexes) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
IntMatrix1D	IntMatrix1D.assign(IntProcedure cond, int value) Assigns a value to all cells that satisfy a condition.
IntMatrix1D	IntMatrix1D.assign(IntProcedure cond, IntFunction f) Assigns the result of a function to all cells that satisfy a condition.
IntMatrix1D	IntMatrix1D.copy() Constructs and returns a deep copy of the receiver.
IntMatrix1D	IntFactory1D.descending(int size) Constructs a matrix with cells having descending values.
IntMatrix1D	IntFactory2D.diagonal(IntMatrix2D A) Constructs a new vector consisting of the diagonal elements of A .
IntMatrix1D	IntMatrix1D.like() Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same size.
abstract IntMatrix1D	IntMatrix1D.like(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
abstract IntMatrix1D	IntMatrix2D.like1D(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
IntMatrix1D	IntFactory1D.make(AbstractIntList values) Constructs a matrix from the values of the given list.
IntMatrix1D	IntFactory1D.make(int size) Constructs a matrix with the given shape, each cell initialized with zero.
IntMatrix1D	IntFactory1D.make(int[] values) Constructs a matrix with the given cell values.
IntMatrix1D	IntFactory1D.make(int size, int initialValue) Constructs a matrix with the given shape, each cell initialized with the given value.
IntMatrix1D	IntFactory1D.make(IntMatrix1D[] parts) Constructs a matrix which is the concatenation of all given parts.
IntMatrix1D	IntFactory1D.random(int size) Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
IntMatrix1D	IntFactory1D.repeat(IntMatrix1D A, int repeat) C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.
IntMatrix1D	IntFactory1D.sample(int size, int value, int nonZeroFraction) Constructs a randomly sampled matrix with the given shape.
abstract IntMatrix1D	IntMatrix3D.vectorize() Returns a vector obtained by stacking the columns of each slice of the matrix on top of one another.
abstract IntMatrix1D	IntMatrix2D.vectorize() Returns a vector obtained by stacking the columns of the matrix on top of one another.
IntMatrix1D	IntMatrix2D.viewColumn(int column) Constructs and returns a new slice view representing the rows of the given column.
IntMatrix1D	IntMatrix1D.viewFlip() Constructs and returns a new flip view.
IntMatrix1D	IntMatrix1D.viewPart(int index, int width) Constructs and returns a new sub-range view that is a width sub matrix starting at index.
IntMatrix1D	IntMatrix2D.viewRow(int row) Constructs and returns a new slice view representing the columns of the given row.
IntMatrix1D	IntMatrix1D.viewSelection(int[] indexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.
IntMatrix1D	IntMatrix1D.viewSelection(IntProcedure condition) Constructs and returns a new selection view that is a matrix holding the cells matching the given condition.
IntMatrix1D	IntMatrix1D.viewSorted() Sorts the vector into ascending order, according to the natural ordering.
IntMatrix1D	IntMatrix1D.viewStrides(int stride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
IntMatrix1D	IntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z) Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);
IntMatrix1D	IntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA) Linear algebraic matrix-vector multiplication; z = alpha * A * y + beta*z.

Methods in cern.colt.matrix.tint with parameters of type IntMatrix1D

int	IntMatrix1D.aggregate(IntMatrix1D other, IntIntFunction aggr, IntIntFunction f) Applies a function to each corresponding cell of two matrices and aggregates the results.
IntMatrix1D	IntFactory1D.append(IntMatrix1D A, IntMatrix1D B) C = A||B; Constructs a new matrix which is the concatenation of two other matrices.
IntMatrix2D	IntFactory2D.appendColumn(IntMatrix2D A, IntMatrix1D b)
IntMatrix2D	IntFactory2D.appendRow(IntMatrix2D A, IntMatrix1D b)
boolean	IntMatrix1DProcedure.apply(IntMatrix1D element) Applies a procedure to an argument.
IntMatrix1D	IntMatrix1D.assign(IntMatrix1D other) Replaces all cell values of the receiver with the values of another matrix.
IntMatrix1D	IntMatrix1D.assign(IntMatrix1D y, IntIntFunction function) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
IntMatrix1D	IntMatrix1D.assign(IntMatrix1D y, IntIntFunction function, IntArrayList nonZeroIndexes) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
IntMatrix2D	IntFactory2D.diagonal(IntMatrix1D vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
IntMatrix1D	IntFactory1D.make(IntMatrix1D[] parts) Constructs a matrix which is the concatenation of all given parts.
IntMatrix1D	IntFactory1D.repeat(IntMatrix1D A, int repeat) C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.
IntMatrix2D	IntFactory2D.reshape(IntMatrix1D a, int rows, int columns)
void	IntMatrix1D.swap(IntMatrix1D other) Swaps each element this[i] with other[i].
IntArrayList	IntFactory1D.toList(IntMatrix1D values) Constructs a list from the given matrix.
int	IntMatrix1D.zDotProduct(IntMatrix1D y) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
int	IntMatrix1D.zDotProduct(IntMatrix1D y, int from, int length) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
int	IntMatrix1D.zDotProduct(IntMatrix1D y, int from, int length, IntArrayList nonZeroIndexes) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
IntMatrix1D	IntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z) Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);
IntMatrix1D	IntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA) Linear algebraic matrix-vector multiplication; z = alpha * A * y + beta*z.

Uses of IntMatrix1D in cern.colt.matrix.tint.algo

Methods in cern.colt.matrix.tint.algo that return IntMatrix1D

IntMatrix1D	IntSorting.sort(IntMatrix1D vector) Sorts the vector into ascending order, according to the natural ordering.
IntMatrix1D	IntSorting.sort(IntMatrix1D vector, IntComparator c) Sorts the vector into ascending order, according to the order induced by the specified comparator.

Methods in cern.colt.matrix.tint.algo with parameters of type IntMatrix1D

int	IntMatrix1DComparator.compare(IntMatrix1D o1, IntMatrix1D o2) Compares its two arguments for order.
boolean	IntProperty.equals(IntMatrix1D A, int value) Returns whether all cells of the given matrix A are equal to the given value.
boolean	IntProperty.equals(IntMatrix1D A, IntMatrix1D B) Returns whether both given matrices A and B are equal.
IntMatrix1D	IntSorting.sort(IntMatrix1D vector) Sorts the vector into ascending order, according to the natural ordering.
IntMatrix1D	IntSorting.sort(IntMatrix1D vector, IntComparator c) Sorts the vector into ascending order, according to the order induced by the specified comparator.
int[]	IntSorting.sortIndex(IntMatrix1D vector) Sorts indexes of the vector into ascending order.
int[]	IntSorting.sortIndex(IntMatrix1D vector, IntComparator c) Sorts indexes of the vector according to the comparator c.
String	IntFormatter.toSourceCode(IntMatrix1D matrix) Returns a string s such that Object[] m = s is a legal Java statement.
String	IntFormatter.toString(IntMatrix1D matrix) Returns a string representation of the given matrix.

Uses of IntMatrix1D in cern.colt.matrix.tint.impl

Subclasses of IntMatrix1D in cern.colt.matrix.tint.impl

class	DenseIntMatrix1D Dense 1-d matrix (aka vector) holding int elements.
class	SparseIntMatrix1D Sparse hashed 1-d matrix (aka vector) holding int elements.
class	WrapperIntMatrix1D 1-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 IntMatrix1D

IntMatrix1D	SparseIntMatrix1D.assign(int value) Sets all cells to the state specified by value.
IntMatrix1D	DenseIntMatrix1D.assign(int value)
IntMatrix1D	DenseIntMatrix1D.assign(int[] values)
IntMatrix1D	DenseIntMatrix1D.assign(IntFunction function)
IntMatrix1D	DenseIntMatrix1D.assign(IntMatrix1D source)
IntMatrix1D	DenseIntMatrix1D.assign(IntMatrix1D y, IntIntFunction function)
IntMatrix1D	DenseIntMatrix1D.assign(IntProcedure cond, int value)
IntMatrix1D	DenseIntMatrix1D.assign(IntProcedure cond, IntFunction function)
IntMatrix1D	WrapperIntMatrix1D.like(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
IntMatrix1D	SparseIntMatrix1D.like(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
IntMatrix1D	DenseIntMatrix1D.like(int size)
IntMatrix1D	WrapperIntMatrix2D.like1D(int size)
IntMatrix1D	SparseRCIntMatrix2D.like1D(int size)
IntMatrix1D	SparseIntMatrix2D.like1D(int size)
IntMatrix1D	SparseCCIntMatrix2D.like1D(int size)
IntMatrix1D	DiagonalIntMatrix2D.like1D(int size)
IntMatrix1D	DenseLargeIntMatrix2D.like1D(int size)
IntMatrix1D	DenseIntMatrix2D.like1D(int size)
IntMatrix1D	DenseColumnIntMatrix2D.like1D(int size)
IntMatrix1D	WrapperIntMatrix3D.vectorize()
IntMatrix1D	WrapperIntMatrix2D.vectorize()
IntMatrix1D	SparseIntMatrix3D.vectorize()
IntMatrix1D	SparseIntMatrix2D.vectorize()
IntMatrix1D	DenseIntMatrix3D.vectorize()
IntMatrix1D	DenseIntMatrix2D.vectorize()
IntMatrix1D	DenseColumnIntMatrix2D.vectorize()
IntMatrix1D	WrapperIntMatrix2D.viewColumn(int column)
IntMatrix1D	WrapperIntMatrix1D.viewFlip() Constructs and returns a new flip view.
IntMatrix1D	WrapperIntMatrix1D.viewPart(int index, int width) Constructs and returns a new sub-range view that is a width sub matrix starting at index.
IntMatrix1D	WrapperIntMatrix2D.viewRow(int row)
IntMatrix1D	WrapperIntMatrix1D.viewSelection(int[] indexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.
IntMatrix1D	WrapperIntMatrix1D.viewStrides(int _stride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
IntMatrix1D	SparseRCIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	SparseIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	SparseCCIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	DiagonalIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	DenseIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)

Methods in cern.colt.matrix.tint.impl with parameters of type IntMatrix1D

int	DenseIntMatrix1D.aggregate(IntMatrix1D other, IntIntFunction aggr, IntIntFunction f)
IntMatrix1D	DenseIntMatrix1D.assign(IntMatrix1D source)
IntMatrix1D	DenseIntMatrix1D.assign(IntMatrix1D y, IntIntFunction function)
void	DenseIntMatrix1D.swap(IntMatrix1D other)
int	DenseIntMatrix1D.zDotProduct(IntMatrix1D y)
int	DenseIntMatrix1D.zDotProduct(IntMatrix1D y, int from, int length)
IntMatrix1D	SparseRCIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	SparseIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	SparseCCIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	DiagonalIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)
IntMatrix1D	DenseIntMatrix2D.zMult(IntMatrix1D y, IntMatrix1D z, int alpha, int beta, boolean transposeA)

Constructors in cern.colt.matrix.tint.impl with parameters of type IntMatrix1D

WrapperIntMatrix1D(IntMatrix1D newContent)