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A comprehensive collection of matrix data structures, linear solvers, least squares methods,
eigenvalue, and singular value decompositions.
/*
* 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;
/**
* Upper symmetrical positive definite dense matrix. Same layout as
* {@link no.uib.cipr.matrix.UpperSymmDenseMatrix UpperSymmDenseMatrix}. This
* class does not enforce the SPD property, but serves as a tag so that more
* efficient algorithms can be used in the solvers.
*/
public class UpperSPDDenseMatrix extends UpperSymmDenseMatrix {
/**
* Constructor for UpperSPDDenseMatrix
*
* @param n
* Size of the matrix. Since the matrix must be square, this
* equals both the number of rows and columns
*/
public UpperSPDDenseMatrix(int n) {
super(n);
}
/**
* Constructor for UpperSPDDenseMatrix
*
* @param A
* Matrix to copy. It must be a square matrix, and only the upper
* triangular part is copied
*/
public UpperSPDDenseMatrix(Matrix A) {
this(A, true);
}
/**
* Constructor for UpperSPDDenseMatrix
*
* @param A
* Matrix to copy. It must be a square matrix, and only the upper
* triangular part is copied
* @param deep
* True for a deep copy, else shallow. In that case,
* A
must be a dense matrix
*/
public UpperSPDDenseMatrix(Matrix A, boolean deep) {
super(A, deep);
}
@Override
public UpperSPDDenseMatrix copy() {
return new UpperSPDDenseMatrix(this);
}
@Override
public Matrix solve(Matrix B, Matrix X) {
return SPDsolve(B, X);
}
}