cern.colt.matrix.tfloat.FloatFactory2D Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of parallelcolt Show documentation
Show all versions of parallelcolt Show documentation
Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming.
The newest version!
/*
Copyright (C) 1999 CERN - European Organization for Nuclear Research.
Permission to use, copy, modify, distribute and sell this software and its documentation for any purpose
is hereby granted without fee, provided that the above copyright notice appear in all copies and
that both that copyright notice and this permission notice appear in supporting documentation.
CERN makes no representations about the suitability of this software for any purpose.
It is provided "as is" without expressed or implied warranty.
*/
package cern.colt.matrix.tfloat;
import cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D;
import cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D;
import cern.jet.math.tfloat.FloatFunctions;
/**
* Factory for convenient construction of 2-d matrices holding float
* cells. Also provides convenient methods to compose (concatenate) and
* decompose (split) matrices from/to constituent blocks.
*
*
*
*
*
* Construction
* Use idioms like FloatFactory2D.dense.make(4,4) to construct
* dense matrices, FloatFactory2D.sparse.make(4,4) to construct sparse
* matrices.
*
*
* Construction with initial values
* Use other make methods to construct matrices with given initial
* values.
*
*
* Appending rows and columns
* Use methods {@link #appendColumns(FloatMatrix2D,FloatMatrix2D)
* appendColumns}, {@link #appendColumns(FloatMatrix2D,FloatMatrix2D)
* appendRows} and {@link #repeat(FloatMatrix2D,int,int) repeat} to append rows
* and columns.
*
*
* General block matrices
* Use methods {@link #compose(FloatMatrix2D[][]) compose} and
* {@link #decompose(FloatMatrix2D[][],FloatMatrix2D) decompose} to work with
* general block matrices.
*
*
* Diagonal matrices
* Use methods {@link #diagonal(FloatMatrix1D) diagonal(vector)},
* {@link #diagonal(FloatMatrix2D) diagonal(matrix)} and {@link #identity(int)
* identity} to work with diagonal matrices.
*
*
* Diagonal block matrices
* Use method
* {@link #composeDiagonal(FloatMatrix2D,FloatMatrix2D,FloatMatrix2D)
* composeDiagonal} to work with diagonal block matrices.
*
*
* Random
* Use methods {@link #random(int,int) random} and
* {@link #sample(int,int,float,float) sample} to construct random matrices.
*
*
*
*
*
*
* If the factory is used frequently it might be useful to streamline the
* notation. For example by aliasing:
*
*
*
*
*
* FloatFactory2D F = FloatFactory2D.dense;
* F.make(4,4);
* F.descending(10,20);
* F.random(4,4);
* ...
*
*
*
*
*
* @author [email protected]
* @version 1.0, 09/24/99
*
* @author Piotr Wendykier ([email protected])
*/
public class FloatFactory2D extends cern.colt.PersistentObject {
private static final long serialVersionUID = 1L;
/**
* A factory producing dense matrices.
*/
public static final FloatFactory2D dense = new FloatFactory2D();
/**
* A factory producing sparse hash matrices.
*/
public static final FloatFactory2D sparse = new FloatFactory2D();
/**
* Checks whether the given array is rectangular, that is, whether all rows
* have the same number of columns.
*
* @throws IllegalArgumentException
* if the array is not rectangular.
*/
protected static void checkRectangularShape(float[][] array) {
int columns = -1;
for (int row = array.length; --row >= 0;) {
if (array[row] != null) {
if (columns == -1)
columns = array[row].length;
if (array[row].length != columns)
throw new IllegalArgumentException("All rows of array must have same number of columns.");
}
}
}
/**
* Checks whether the given array is rectangular, that is, whether all rows
* have the same number of columns.
*
* @throws IllegalArgumentException
* if the array is not rectangular.
*/
protected static void checkRectangularShape(FloatMatrix2D[][] array) {
int columns = -1;
for (int row = array.length; --row >= 0;) {
if (array[row] != null) {
if (columns == -1)
columns = array[row].length;
if (array[row].length != columns)
throw new IllegalArgumentException("All rows of array must have same number of columns.");
}
}
}
/**
* Makes this class non instantiable, but still let's others inherit from
* it.
*/
protected FloatFactory2D() {
}
/**
* C = A||b; Constructs a new matrix which is the column-wise concatenation
* of two other matrices.
*
*
* 0 1 2
* 3 4 5
* appendColumn
* 6
* 8
* -->
* 0 1 2 6
* 3 4 5 8
*
*
*/
public FloatMatrix2D appendColumn(FloatMatrix2D A, FloatMatrix1D b) {
// force both to have maximal shared number of rows.
if (b.size() > A.rows())
b = b.viewPart(0, A.rows());
else if (b.size() < A.rows())
A = A.viewPart(0, 0, (int) b.size(), A.columns());
// concatenate
int ac = A.columns();
int bc = 1;
int r = A.rows();
FloatMatrix2D matrix = make(r, ac + bc);
matrix.viewPart(0, 0, r, ac).assign(A);
matrix.viewColumn(ac).assign(b);
return matrix;
}
/**
* C = A||B; Constructs a new matrix which is the column-wise concatenation
* of two other matrices.
*
*
* 0 1 2
* 3 4 5
* appendColumns
* 6 7
* 8 9
* -->
* 0 1 2 6 7
* 3 4 5 8 9
*
*
*/
public FloatMatrix2D appendColumns(FloatMatrix2D A, FloatMatrix2D B) {
// force both to have maximal shared number of rows.
if (B.rows() > A.rows())
B = B.viewPart(0, 0, A.rows(), B.columns());
else if (B.rows() < A.rows())
A = A.viewPart(0, 0, B.rows(), A.columns());
// concatenate
int ac = A.columns();
int bc = B.columns();
int r = A.rows();
FloatMatrix2D matrix = make(r, ac + bc);
matrix.viewPart(0, 0, r, ac).assign(A);
matrix.viewPart(0, ac, r, bc).assign(B);
return matrix;
}
/**
* C = A||b; Constructs a new matrix which is the row-wise concatenation of
* two other matrices.
*
*
* 0 1
* 2 3
* 4 5
* appendRow
* 6 7
* -->
* 0 1
* 2 3
* 4 5
* 6 7
*
*
*/
public FloatMatrix2D appendRow(FloatMatrix2D A, FloatMatrix1D b) {
// force both to have maximal shared number of columns.
if (b.size() > A.columns())
b = b.viewPart(0, A.columns());
else if (b.size() < A.columns())
A = A.viewPart(0, 0, A.rows(), (int) b.size());
// concatenate
int ar = A.rows();
int br = 1;
int c = A.columns();
FloatMatrix2D matrix = make(ar + br, c);
matrix.viewPart(0, 0, ar, c).assign(A);
matrix.viewRow(ar).assign(b);
return matrix;
}
/**
* C = A||B; Constructs a new matrix which is the row-wise concatenation of
* two other matrices.
*
*
* 0 1
* 2 3
* 4 5
* appendRows
* 6 7
* 8 9
* -->
* 0 1
* 2 3
* 4 5
* 6 7
* 8 9
*
*
*/
public FloatMatrix2D appendRows(FloatMatrix2D A, FloatMatrix2D B) {
// force both to have maximal shared number of columns.
if (B.columns() > A.columns())
B = B.viewPart(0, 0, B.rows(), A.columns());
else if (B.columns() < A.columns())
A = A.viewPart(0, 0, A.rows(), B.columns());
// concatenate
int ar = A.rows();
int br = B.rows();
int c = A.columns();
FloatMatrix2D matrix = make(ar + br, c);
matrix.viewPart(0, 0, ar, c).assign(A);
matrix.viewPart(ar, 0, br, c).assign(B);
return matrix;
}
/**
* Constructs a matrix with cells having ascending values. For debugging
* purposes. Example:
*
*
* 0 1 2
* 3 4 5
*
*
*/
public FloatMatrix2D ascending(int rows, int columns) {
return descending(rows, columns).assign(
FloatFunctions.chain(FloatFunctions.neg, FloatFunctions.minus(columns * rows)));
}
/**
* Constructs a block matrix made from the given parts. The inverse to
* method {@link #decompose(FloatMatrix2D[][], FloatMatrix2D)}.
*
* All matrices of a given column within parts must have the same
* number of columns. All matrices of a given row within parts must
* have the same number of rows. Otherwise an
* IllegalArgumentException is thrown. Note that nulls
* within parts[row,col] are an exception to this rule: they are
* ignored. Cells are copied. Example:
*
*
* Code
* Result
*
*
*
*
*
* FloatMatrix2D[][] parts1 = { { null, make(2, 2, 1), null }, { make(4, 4, 2), null, make(4, 3, 3) },
* { null, make(2, 2, 4), null } };
* System.out.println(compose(parts1));
*
*
*
* 8 x 9 matrix
0 0 0 0 1 1 0 0 0
0 0 0 0 1 1 0 0 0
2 2 2 2 0 0 3 3 3
2 2 2 2 0 0 3 3 3
2 2 2 2 0 0 3 3 3
2 2 2 2 0 0 3 3 3
0 0 0 0 4 4 0 0 0
0 0 0 0 4 4 0 0 0
*
*
*
*
*
* FloatMatrix2D[][] parts3 = { { identity(3), null, }, { null, identity(3).viewColumnFlip() },
* { identity(3).viewRowFlip(), null } };
* System.out.println("\n" + make(parts3));
*
*
*
* 9 x 6 matrix
1 0 0 0 0 0
0 1 0 0 0 0
0 0 1 0 0 0
0 0 0 0 0 1
0 0 0 0 1 0
0 0 0 1 0 0
0 0 1 0 0 0
0 1 0 0 0 0
1 0 0 0 0 0
*
*
*
*
*
* FloatMatrix2D A = ascending(2, 2);
* FloatMatrix2D B = descending(2, 2);
* FloatMatrix2D _ = null;
*
* FloatMatrix2D[][] parts4 = { { A, _, A, _ }, { _, A, _, B } };
* System.out.println("\n" + make(parts4));
*
*
*
* 4 x 8 matrix
1 2 0 0 1 2 0 0
3 4 0 0 3 4 0 0
0 0 1 2 0 0 3 2
0 0 3 4 0 0 1 0
*
*
*
*
*
* FloatMatrix2D[][] parts2 = { { null, make(2, 2, 1), null }, { make(4, 4, 2), null, make(4, 3, 3) },
* { null, make(2, 3, 4), null } };
* System.out.println("\n" + Factory2D.make(parts2));
*
*
*
* IllegalArgumentException
A[0,1].columns != A[2,1].columns
(2 != 3)
*
*
*
* @throws IllegalArgumentException
* subject to the conditions outlined above.
*/
public FloatMatrix2D compose(FloatMatrix2D[][] parts) {
checkRectangularShape(parts);
int rows = parts.length;
int columns = 0;
if (parts.length > 0)
columns = parts[0].length;
FloatMatrix2D empty = make(0, 0);
if (rows == 0 || columns == 0)
return empty;
// determine maximum column width of each column
int[] maxWidths = new int[columns];
for (int column = columns; --column >= 0;) {
int maxWidth = 0;
for (int row = rows; --row >= 0;) {
FloatMatrix2D part = parts[row][column];
if (part != null) {
int width = part.columns();
if (maxWidth > 0 && width > 0 && width != maxWidth)
throw new IllegalArgumentException("Different number of columns.");
maxWidth = Math.max(maxWidth, width);
}
}
maxWidths[column] = maxWidth;
}
// determine row height of each row
int[] maxHeights = new int[rows];
for (int row = rows; --row >= 0;) {
int maxHeight = 0;
for (int column = columns; --column >= 0;) {
FloatMatrix2D part = parts[row][column];
if (part != null) {
int height = part.rows();
if (maxHeight > 0 && height > 0 && height != maxHeight)
throw new IllegalArgumentException("Different number of rows.");
maxHeight = Math.max(maxHeight, height);
}
}
maxHeights[row] = maxHeight;
}
// shape of result
int resultRows = 0;
for (int row = rows; --row >= 0;)
resultRows += maxHeights[row];
int resultCols = 0;
for (int column = columns; --column >= 0;)
resultCols += maxWidths[column];
FloatMatrix2D matrix = make(resultRows, resultCols);
// copy
int r = 0;
for (int row = 0; row < rows; row++) {
int c = 0;
for (int column = 0; column < columns; column++) {
FloatMatrix2D part = parts[row][column];
if (part != null) {
matrix.viewPart(r, c, part.rows(), part.columns()).assign(part);
}
c += maxWidths[column];
}
r += maxHeights[row];
}
return matrix;
}
/**
* Constructs a bidiagonal block matrix from the given parts. The
* concatenation has the form
*
*
* A 0 0
* 0 B 0
* 0 0 C
*
*
*
* from the given parts. Cells are copied.
*
* @param A
* bidiagonal matrix
* @param B
* bidiagonal matrix
* @return bidiagonal matrix
*/
public FloatMatrix2D composeBidiagonal(FloatMatrix2D A, FloatMatrix2D B) {
int ar = A.rows();
int ac = A.columns();
int br = B.rows();
int bc = B.columns();
FloatMatrix2D sum = make(ar + br - 1, ac + bc);
sum.viewPart(0, 0, ar, ac).assign(A);
sum.viewPart(ar - 1, ac, br, bc).assign(B);
return sum;
}
/**
* Constructs a diagonal block matrix from the given parts (the direct
* sum of two matrices). That is the concatenation
*
*
* A 0
* 0 B
*
*
*
* (The direct sum has A.rows()+B.rows() rows and
* A.columns()+B.columns() columns). Cells are copied.
*
* @return a new matrix which is the direct sum.
*/
public FloatMatrix2D composeDiagonal(FloatMatrix2D A, FloatMatrix2D B) {
int ar = A.rows();
int ac = A.columns();
int br = B.rows();
int bc = B.columns();
FloatMatrix2D sum = make(ar + br, ac + bc);
sum.viewPart(0, 0, ar, ac).assign(A);
sum.viewPart(ar, ac, br, bc).assign(B);
return sum;
}
/**
* Constructs a diagonal block matrix from the given parts. The
* concatenation has the form
*
*
* A 0 0
* 0 B 0
* 0 0 C
*
*
*
* from the given parts. Cells are copied.
*/
public FloatMatrix2D composeDiagonal(FloatMatrix2D A, FloatMatrix2D B, FloatMatrix2D C) {
FloatMatrix2D diag = make(A.rows() + B.rows() + C.rows(), A.columns() + B.columns() + C.columns());
diag.viewPart(0, 0, A.rows(), A.columns()).assign(A);
diag.viewPart(A.rows(), A.columns(), B.rows(), B.columns()).assign(B);
diag.viewPart(A.rows() + B.rows(), A.columns() + B.columns(), C.rows(), C.columns()).assign(C);
return diag;
}
/**
* Splits a block matrix into its constituent blocks; Copies blocks of a
* matrix into the given parts. The inverse to method
* {@link #compose(FloatMatrix2D[][])}.
*
* All matrices of a given column within parts must have the same
* number of columns. All matrices of a given row within parts must
* have the same number of rows. Otherwise an
* IllegalArgumentException is thrown. Note that nulls
* within parts[row,col] are an exception to this rule: they are
* ignored. Cells are copied. Example:
*
*
* Code
* matrix
* --> parts
*
*
*
*
*
* FloatMatrix2D matrix = ... ;
* FloatMatrix2D _ = null;
* FloatMatrix2D A,B,C,D;
* A = make(2,2); B = make (4,4);
* C = make(4,3); D = make (2,2);
* FloatMatrix2D[][] parts =
* {
* { _, A, _ },
* { B, _, C },
* { _, D, _ }
* };
* decompose(parts,matrix);
* System.out.println("\nA = "+A);
* System.out.println("\nB = "+B);
* System.out.println("\nC = "+C);
* System.out.println("\nD = "+D);
*
*
*
*
* 8 x 9 matrix
9 9 9 9 1 1 9 9 9
9 9 9 9 1 1 9 9 9
2 2 2 2 9 9 3 3 3
2 2 2 2 9 9 3 3 3
2 2 2 2 9 9 3 3 3
2 2 2 2 9 9 3 3 3
9 9 9 9 4 4 9 9 9
9 9 9 9 4 4 9 9 9
*
*
* A = 2 x 2 matrix
1 1
1 1
*
*
* B = 4 x 4 matrix
2 2 2 2
2 2 2 2
2 2 2 2
2 2 2 2
*
*
* C = 4 x 3 matrix
3 3 3
3 3 3
3 3 3
3 3 3
*
*
* D = 2 x 2 matrix
4 4
4 4
*
*
*
*
*
* @throws IllegalArgumentException
* subject to the conditions outlined above.
*/
public void decompose(FloatMatrix2D[][] parts, FloatMatrix2D matrix) {
checkRectangularShape(parts);
int rows = parts.length;
int columns = 0;
if (parts.length > 0)
columns = parts[0].length;
if (rows == 0 || columns == 0)
return;
// determine maximum column width of each column
int[] maxWidths = new int[columns];
for (int column = columns; --column >= 0;) {
int maxWidth = 0;
for (int row = rows; --row >= 0;) {
FloatMatrix2D part = parts[row][column];
if (part != null) {
int width = part.columns();
if (maxWidth > 0 && width > 0 && width != maxWidth)
throw new IllegalArgumentException("Different number of columns.");
maxWidth = Math.max(maxWidth, width);
}
}
maxWidths[column] = maxWidth;
}
// determine row height of each row
int[] maxHeights = new int[rows];
for (int row = rows; --row >= 0;) {
int maxHeight = 0;
for (int column = columns; --column >= 0;) {
FloatMatrix2D part = parts[row][column];
if (part != null) {
int height = part.rows();
if (maxHeight > 0 && height > 0 && height != maxHeight)
throw new IllegalArgumentException("Different number of rows.");
maxHeight = Math.max(maxHeight, height);
}
}
maxHeights[row] = maxHeight;
}
// shape of result parts
int resultRows = 0;
for (int row = rows; --row >= 0;)
resultRows += maxHeights[row];
int resultCols = 0;
for (int column = columns; --column >= 0;)
resultCols += maxWidths[column];
if (matrix.rows() < resultRows || matrix.columns() < resultCols)
throw new IllegalArgumentException("Parts larger than matrix.");
// copy
int r = 0;
for (int row = 0; row < rows; row++) {
int c = 0;
for (int column = 0; column < columns; column++) {
FloatMatrix2D part = parts[row][column];
if (part != null) {
part.assign(matrix.viewPart(r, c, part.rows(), part.columns()));
}
c += maxWidths[column];
}
r += maxHeights[row];
}
}
/**
* Demonstrates usage of this class.
*/
public void demo1() {
System.out.println("\n\n");
FloatMatrix2D[][] parts1 = { { null, make(2, 2, 1), null }, { make(4, 4, 2), null, make(4, 3, 3) },
{ null, make(2, 2, 4), null } };
System.out.println("\n" + compose(parts1));
// System.out.println("\n"+cern.colt.matrixpattern.Converting.toHTML(make(parts1).toString()));
/*
* // illegal 2 != 3 FloatMatrix2D[][] parts2 = { { null, make(2,2,1),
* null }, { make(4,4,2), null, make(4,3,3) }, { null, make(2,3,4), null } };
* System.out.println("\n"+make(parts2));
*/
FloatMatrix2D[][] parts3 = { { identity(3), null, }, { null, identity(3).viewColumnFlip() },
{ identity(3).viewRowFlip(), null } };
System.out.println("\n" + compose(parts3));
// System.out.println("\n"+cern.colt.matrixpattern.Converting.toHTML(make(parts3).toString()));
FloatMatrix2D A = ascending(2, 2);
FloatMatrix2D B = descending(2, 2);
FloatMatrix2D _ = null;
FloatMatrix2D[][] parts4 = { { A, _, A, _ }, { _, A, _, B } };
System.out.println("\n" + compose(parts4));
// System.out.println("\n"+cern.colt.matrixpattern.Converting.toHTML(make(parts4).toString()));
}
/**
* Demonstrates usage of this class.
*/
public void demo2() {
System.out.println("\n\n");
FloatMatrix2D matrix;
FloatMatrix2D A, B, C, D;
FloatMatrix2D _ = null;
A = make(2, 2, 1);
B = make(4, 4, 2);
C = make(4, 3, 3);
D = make(2, 2, 4);
FloatMatrix2D[][] parts1 = { { _, A, _ }, { B, _, C }, { _, D, _ } };
matrix = compose(parts1);
System.out.println("\n" + matrix);
A.assign(9);
B.assign(9);
C.assign(9);
D.assign(9);
decompose(parts1, matrix);
System.out.println(A);
System.out.println(B);
System.out.println(C);
System.out.println(D);
// System.out.println("\n"+cern.colt.matrixpattern.Converting.toHTML(make(parts1).toString()));
/*
* // illegal 2 != 3 FloatMatrix2D[][] parts2 = { { null, make(2,2,1),
* null }, { make(4,4,2), null, make(4,3,3) }, { null, make(2,3,4), null } };
* System.out.println("\n"+Factory2D.make(parts2));
*/
/*
* FloatMatrix2D[][] parts3 = { { identity(3), null, }, { null,
* identity(3).viewColumnFlip() }, { identity(3).viewRowFlip(), null } };
* System.out.println("\n"+make(parts3));
* //System.out.println("\n"+cern.colt.matrixpattern.Converting.toHTML(make(parts3).toString()));
*
* FloatMatrix2D A = ascending(2,2); FloatMatrix2D B =
* descending(2,2); FloatMatrix2D _ = null;
*
* FloatMatrix2D[][] parts4 = { { A, _, A, _ }, { _, A, _, B } };
* System.out.println("\n"+make(parts4));
* //System.out.println("\n"+cern.colt.matrixpattern.Converting.toHTML(make(parts4).toString()));
*/
}
/**
* Constructs a matrix with cells having descending values. For debugging
* purposes. Example:
*
*
* 5 4 3
* 2 1 0
*
*
*/
public FloatMatrix2D descending(int rows, int columns) {
FloatMatrix2D matrix = make(rows, columns);
int v = 0;
for (int row = rows; --row >= 0;) {
for (int column = columns; --column >= 0;) {
matrix.setQuick(row, column, v++);
}
}
return matrix;
}
/**
* Constructs a new diagonal matrix whose diagonal elements are the elements
* of vector. Cells values are copied. The new matrix is not a
* view. Example:
*
*
* 5 4 3 -->
* 5 0 0
* 0 4 0
* 0 0 3
*
*
*
* @return a new matrix.
*/
public FloatMatrix2D diagonal(float[] vector) {
int size = vector.length;
FloatMatrix2D diag = make(size, size);
for (int i = 0; i < size; i++) {
diag.setQuick(i, i, vector[i]);
}
return diag;
}
/**
* Constructs a new diagonal matrix whose diagonal elements are the elements
* of vector. Cells values are copied. The new matrix is not a
* view. Example:
*
*
* 5 4 3 -->
* 5 0 0
* 0 4 0
* 0 0 3
*
*
*
* @return a new matrix.
*/
public FloatMatrix2D diagonal(FloatMatrix1D vector) {
int size = (int) vector.size();
FloatMatrix2D diag = make(size, size);
for (int i = size; --i >= 0;) {
diag.setQuick(i, i, vector.getQuick(i));
}
return diag;
}
/**
* Constructs a new vector consisting of the diagonal elements of A
* . Cells values are copied. The new vector is not a view. Example:
*
*
* 5 0 0 9
* 0 4 0 9
* 0 0 3 9
* --> 5 4 3
*
*
*
* @param A
* the matrix, need not be square.
* @return a new vector.
*/
public FloatMatrix1D diagonal(FloatMatrix2D A) {
int min = Math.min(A.rows(), A.columns());
FloatMatrix1D diag = make1D(min);
for (int i = min; --i >= 0;) {
diag.setQuick(i, A.getQuick(i, i));
}
return diag;
}
/**
* Constructs an identity matrix (having ones on the diagonal and zeros
* elsewhere).
*/
public FloatMatrix2D identity(int rowsAndColumns) {
FloatMatrix2D matrix = make(rowsAndColumns, rowsAndColumns);
for (int i = rowsAndColumns; --i >= 0;) {
matrix.setQuick(i, i, 1);
}
return matrix;
}
/**
* Construct a matrix from a one-dimensional column-major packed array, ala
* Fortran. Has the form
* matrix.get(row,column) == values[row + column*rows]. The values
* are copied.
*
* @param values
* One-dimensional array of floats, packed by columns (ala
* Fortran).
* @param rows
* the number of rows.
* @exception IllegalArgumentException
* values.length must be a multiple of rows
* .
*/
public FloatMatrix2D make(float values[], int rows) {
int columns = (rows != 0 ? values.length / rows : 0);
if (rows * columns != values.length)
throw new IllegalArgumentException("Array length must be a multiple of m.");
FloatMatrix2D matrix = make(rows, columns);
for (int row = 0; row < rows; row++) {
for (int column = 0; column < columns; column++) {
matrix.setQuick(row, column, values[row + column * rows]);
}
}
return matrix;
}
/**
* Constructs a matrix with the given cell values. values is
* required to have the form values[row][column] and have exactly
* the same number of columns in every row.
*
* The values are copied. So subsequent changes in values are not
* reflected in the matrix, and vice-versa.
*
* @param values
* The values to be filled into the new matrix.
* @throws IllegalArgumentException
* if
* for any 1 <= row < values.length: values[row].length != values[row-1].length
* .
*/
public FloatMatrix2D make(float[][] values) {
if (this == sparse)
return new SparseFloatMatrix2D(values);
else
return new DenseFloatMatrix2D(values);
}
/**
* Constructs a matrix with the given shape, each cell initialized with
* zero.
*/
public FloatMatrix2D make(int rows, int columns) {
if (this == sparse) {
return new SparseFloatMatrix2D(rows, columns);
} else {
return new DenseFloatMatrix2D(rows, columns);
}
}
/**
* Constructs a matrix with the given shape, each cell initialized with the
* given value.
*/
public FloatMatrix2D make(int rows, int columns, float initialValue) {
if (initialValue == 0)
return make(rows, columns);
return make(rows, columns).assign(initialValue);
}
/**
* Constructs a matrix with uniformly distributed values in (0,1)
* (exclusive).
*/
public FloatMatrix2D random(int rows, int columns) {
return make(rows, columns).assign(cern.jet.math.tfloat.FloatFunctions.random());
}
/**
* C = A||A||..||A; Constructs a new matrix which is duplicated both along
* the row and column dimension. Example:
*
*
* 0 1
* 2 3
* repeat(2,3) -->
* 0 1 0 1 0 1
* 2 3 2 3 2 3
* 0 1 0 1 0 1
* 2 3 2 3 2 3
*
*
*/
public FloatMatrix2D repeat(FloatMatrix2D A, int rowRepeat, int columnRepeat) {
int r = A.rows();
int c = A.columns();
FloatMatrix2D matrix = make(r * rowRepeat, c * columnRepeat);
for (int i = rowRepeat; --i >= 0;) {
for (int j = columnRepeat; --j >= 0;) {
matrix.viewPart(r * i, c * j, r, c).assign(A);
}
}
return matrix;
}
/**
* Modifies the given matrix to be a randomly sampled matrix. Randomly picks
* exactly Math.round(rows*columns*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. Note: The random
* seed is a constant.
*
* @throws IllegalArgumentException
* if nonZeroFraction < 0 || nonZeroFraction > 1.
* @see cern.jet.random.tfloat.sampling.FloatRandomSampler
*/
public FloatMatrix2D sample(FloatMatrix2D matrix, float value, float nonZeroFraction) {
int rows = matrix.rows();
int columns = matrix.columns();
float epsilon = 1e-05f;
if (nonZeroFraction < 0 - epsilon || nonZeroFraction > 1 + epsilon)
throw new IllegalArgumentException();
if (nonZeroFraction < 0)
nonZeroFraction = 0;
if (nonZeroFraction > 1)
nonZeroFraction = 1;
matrix.assign(0);
int size = rows * columns;
int n = Math.round(size * nonZeroFraction);
if (n == 0)
return matrix;
cern.jet.random.tfloat.sampling.FloatRandomSamplingAssistant sampler = new cern.jet.random.tfloat.sampling.FloatRandomSamplingAssistant(
n, size, new cern.jet.random.tfloat.engine.FloatMersenneTwister());
for (int i = 0; i < size; i++) {
if (sampler.sampleNextElement()) {
int row = (i / columns);
int column = (i % columns);
matrix.setQuick(row, column, value);
}
}
return matrix;
}
/**
* Constructs a randomly sampled matrix with the given shape. Randomly picks
* exactly Math.round(rows*columns*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. Note: The random
* seed is a constant.
*
* @throws IllegalArgumentException
* if nonZeroFraction < 0 || nonZeroFraction > 1.
* @see cern.jet.random.tfloat.sampling.FloatRandomSampler
*/
public FloatMatrix2D sample(int rows, int columns, float value, float nonZeroFraction) {
FloatMatrix2D matrix = make(rows, columns);
sample(matrix, value, nonZeroFraction);
return matrix;
}
/**
* Constructs a 1d matrix of the right dynamic type.
*/
protected FloatMatrix1D make1D(int size) {
return make(0, 0).like1D(size);
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy