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 * LU-decomposition of a real matrix. * <p>The LU-decomposition of matrix A is a set of three matrices: P, L and U * such that P×A = L×U. P is a rows permutation matrix that is used * to rearrange the rows of A before so that it can be decomposed. L is a lower * triangular matrix with unit diagonal terms and U is an upper triangular matrix.</p> * <p>This interface is based on the class with similar name from the * <a href="http://math.nist.gov/javanumerics/jama/">JAMA</a> library.</p> * <ul> * <li>a {@link #getP() getP} method has been added,</li> * <li>the <code>det</code> method has been renamed as {@link #getDeterminant() * getDeterminant},</li> * <li>the <code>getDoublePivot</code> method has been removed (but the int based * {@link #getPivot() getPivot} method has been kept),</li> * <li>the <code>solve</code> and <code>isNonSingular</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/LUDecomposition.html">MathWorld</a> * @see <a href="http://en.wikipedia.org/wiki/LU_decomposition">Wikipedia</a> * @version $Revision: 826627 $ $Date: 2009-10-19 12:27:47 +0200 (lun. 19 oct. 2009) $ * @since 2.0 */ public interface LUDecomposition { /** * Returns the matrix L of the decomposition. * <p>L is an lower-triangular matrix</p> * @return the L matrix (or null if decomposed matrix is singular) */ RealMatrix getL(); /** * Returns the matrix U of the decomposition. * <p>U is an upper-triangular matrix</p> * @return the U matrix (or null if decomposed matrix is singular) */ RealMatrix getU(); /** * Returns the P rows permutation matrix. * <p>P is a sparse matrix with exactly one element set to 1.0 in * each row and each column, all other elements being set to 0.0.</p> * <p>The positions of the 1 elements are given by the {@link #getPivot() * pivot permutation vector}.</p> * @return the P rows permutation matrix (or null if decomposed matrix is singular) * @see #getPivot() */ RealMatrix getP(); /** * Returns the pivot permutation vector. * @return the pivot permutation vector * @see #getP() */ int[] getPivot(); /** * Return the determinant of the matrix * @return determinant of the matrix */ double getDeterminant(); /** * Get a solver for finding the A × X = B solution in exact linear sense. * @return a solver */ DecompositionSolver getSolver(); }