Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math.linear; /** * An interface to classes that implement an algorithm to calculate the * QR-decomposition of a real matrix. * <p>This interface is based on the class with similar name from the * <a href="http://math.nist.gov/javanumerics/jama/">JAMA</a> library, with the * following changes:</p> * <ul> * <li>a {@link #getQT() getQT} method has been added,</li> * <li>the <code>solve</code> and <code>isFullRank</code> methods have been replaced * by a {@link #getSolver() getSolver} method and the equivalent methods provided by * the returned {@link DecompositionSolver}.</li> * </ul> * * @see <a href="http://mathworld.wolfram.com/QRDecomposition.html">MathWorld</a> * @see <a href="http://en.wikipedia.org/wiki/QR_decomposition">Wikipedia</a> * @version $Revision: 826627 $ $Date: 2009-10-19 12:27:47 +0200 (lun. 19 oct. 2009) $ * @since 1.2 */ public interface QRDecomposition { /** * Returns the matrix R of the decomposition. * <p>R is an upper-triangular matrix</p> * @return the R matrix */ RealMatrix getR(); /** * Returns the matrix Q of the decomposition. * <p>Q is an orthogonal matrix</p> * @return the Q matrix */ RealMatrix getQ(); /** * Returns the transpose of the matrix Q of the decomposition. * <p>Q is an orthogonal matrix</p> * @return the Q matrix */ RealMatrix getQT(); /** * Returns the Householder reflector vectors. * <p>H is a lower trapezoidal matrix whose columns represent * each successive Householder reflector vector. This matrix is used * to compute Q.</p> * @return a matrix containing the Householder reflector vectors */ RealMatrix getH(); /** * Get a solver for finding the A × X = B solution in least square sense. * @return a solver */ DecompositionSolver getSolver(); }