📄 upperspddensematrix.java
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/* * 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, * <code>A</code> 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); }}
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