no.uib.cipr.matrix.AbstractPackMatrix Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of mtj Show documentation
Show all versions of mtj Show documentation
A comprehensive collection of matrix data structures, linear solvers, least squares methods,
eigenvalue, and singular value decompositions.
Forked from: https://github.com/fommil/matrix-toolkits-java
and added support for eigenvalue computation of general matrices
/*
* Copyright (C) 2003-2006 Bjørn-Ove Heimsund
*
* This file is part of MTJ.
*
* This library is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published by the
* Free Software Foundation; either version 2.1 of the License, or (at your
* option) any later version.
*
* This library is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this library; if not, write to the Free Software Foundation,
* Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
package no.uib.cipr.matrix;
import java.util.Arrays;
/**
* Partial implementation of a packed matrix
*/
abstract class AbstractPackMatrix extends AbstractMatrix {
/**
* Matrix contents
*/
double[] data;
/**
* Matrix is square, so this is either numRows or numColumns
*/
int n;
/**
* Constructor for AbstractPackMatrix
*
* @param n
* Size of the matrix. Since the matrix must be square, this
* equals both the number of rows and columns
*/
public AbstractPackMatrix(int n) {
super(n, n);
this.n = numRows;
data = new double[(n * n + n) / 2];
}
/**
* Constructor for AbstractPackMatrix
*
* @param A
* Matrix to copy
*/
public AbstractPackMatrix(Matrix A) {
this(A, true);
}
/**
* Constructor for AbstractPackMatrix
*
* @param A
* A square matrix to copy from
* @param deep
* True for a deep copy, false for a shallow (reference) copy.
* References must be instances of a packed matrix
*/
public AbstractPackMatrix(Matrix A, boolean deep) {
super(A);
if (!isSquare())
throw new IllegalArgumentException("Packed matrix must be square");
n = A.numRows();
if (deep) {
data = new double[(n * n + n) / 2];
copy(A);
} else
this.data = ((AbstractPackMatrix) A).getData();
}
/**
* Set this matrix equal to the given matrix
*/
abstract void copy(Matrix A);
/**
* Returns the matrix contents. Ordering depends on the underlying storage
* assumptions
*/
public double[] getData() {
return data;
}
@Override
public Matrix set(Matrix B) {
if (!(B instanceof AbstractPackMatrix))
return super.set(B);
checkSize(B);
double[] Bd = ((AbstractPackMatrix) B).getData();
if (Bd == data)
return this;
System.arraycopy(Bd, 0, data, 0, data.length);
return this;
}
@Override
public Matrix zero() {
Arrays.fill(data, 0);
return this;
}
}