cern.colt.matrix.tint

Class IntFactory1D

java.lang.Object

cern.colt.PersistentObject

cern.colt.matrix.tint.IntFactory1D

All Implemented Interfaces:

Serializable, Cloneable

public class IntFactory1D
extends PersistentObject

Factory for convenient construction of 1-d matrices holding int cells. Use idioms like IntFactory1D.dense.make(1000) to construct dense matrices, IntFactory1D.sparse.make(1000) to construct sparse matrices. If the factory is used frequently it might be useful to streamline the notation. For example by aliasing:

IntFactory1D F = IntFactory1D.dense; F.make(1000); F.descending(10); F.random(3); ...

Version:

1.0, 09/24/99

Author:

wolfgang.hoschek@cern.ch

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static IntFactory1D	dense A factory producing dense matrices.
static IntFactory1D	sparse A factory producing sparse matrices.

Method Summary

Methods

Modifier and Type	Method and Description
IntMatrix1D	append(IntMatrix1D A, IntMatrix1D B) C = A||B; Constructs a new matrix which is the concatenation of two other matrices.
IntMatrix1D	ascending(int size) Constructs a matrix with cells having ascending values.
IntMatrix1D	descending(int size) Constructs a matrix with cells having descending values.
IntMatrix1D	make(AbstractIntList values) Constructs a matrix from the values of the given list.
IntMatrix1D	make(int size) Constructs a matrix with the given shape, each cell initialized with zero.
IntMatrix1D	make(int[] values) Constructs a matrix with the given cell values.
IntMatrix1D	make(int size, int initialValue) Constructs a matrix with the given shape, each cell initialized with the given value.
IntMatrix1D	make(IntMatrix1D[] parts) Constructs a matrix which is the concatenation of all given parts.
IntMatrix1D	random(int size) Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
IntMatrix1D	repeat(IntMatrix1D A, int repeat) C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.
IntMatrix1D	sample(int size, int value, int nonZeroFraction) Constructs a randomly sampled matrix with the given shape.
IntArrayList	toList(IntMatrix1D values) Constructs a list from the given matrix.

Methods inherited from class cern.colt.PersistentObject

clone

Methods inherited from class java.lang.Object

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

Field Detail

dense

public static final IntFactory1D dense

A factory producing dense matrices.

sparse

public static final IntFactory1D sparse

A factory producing sparse matrices.

Method Detail

append

public IntMatrix1D append(IntMatrix1D A,
                 IntMatrix1D B)

C = A||B; Constructs a new matrix which is the concatenation of two other matrices. Example: 0 1 append 3 4 --> 0 1 3 4.

ascending

public IntMatrix1D ascending(int size)

Constructs a matrix with cells having ascending values. For debugging purposes. Example: 0 1 2

descending

public IntMatrix1D descending(int size)

Constructs a matrix with cells having descending values. For debugging purposes. Example: 2 1 0

make

public IntMatrix1D make(int[] values)

Constructs a matrix with the given cell values. The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.

Parameters:

values - The values to be filled into the new matrix.

make

public IntMatrix1D make(IntMatrix1D[] parts)

Constructs a matrix which is the concatenation of all given parts. Cells are copied.

make

public IntMatrix1D make(int size)

Constructs a matrix with the given shape, each cell initialized with zero.

make

public IntMatrix1D make(int size,
               int initialValue)

Constructs a matrix with the given shape, each cell initialized with the given value.

make

public IntMatrix1D make(AbstractIntList values)

Constructs a matrix from the values of the given list. The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.

Parameters:

values - The values to be filled into the new matrix.

Returns:

a new matrix.

random

public IntMatrix1D random(int size)

Constructs a matrix with uniformly distributed values in (0,1) (exclusive).

repeat

public IntMatrix1D repeat(IntMatrix1D A,
                 int repeat)

C = A||A||..||A; Constructs a new matrix which is concatenated repeat times. Example:

   0 1
   repeat(3) -->
   0 1 0 1 0 1
 
 

sample

public IntMatrix1D sample(int size,
                 int value,
                 int nonZeroFraction)

Constructs a randomly sampled matrix with the given shape. Randomly picks exactly Math.round(size*nonZeroFraction) cells and initializes them to value, all the rest will be initialized to zero. Note that this is not the same as setting each cell with probability nonZeroFraction to value.

Throws:

IllegalArgumentException - if nonZeroFraction < 0 || nonZeroFraction > 1.

See Also:

DoubleRandomSamplingAssistant

toList

public IntArrayList toList(IntMatrix1D values)

Constructs a list from the given matrix. The values are copied. So subsequent changes in values are not reflected in the list, and vice-versa.

Parameters:

values - The values to be filled into the new list.

Returns:

a new list.