001 /* 002 * Copyright (C) 2008-2010 by Holger Arndt 003 * 004 * This file is part of the Universal Java Matrix Package (UJMP). 005 * See the NOTICE file distributed with this work for additional 006 * information regarding copyright ownership and licensing. 007 * 008 * UJMP is free software; you can redistribute it and/or modify 009 * it under the terms of the GNU Lesser General Public License as 010 * published by the Free Software Foundation; either version 2 011 * of the License, or (at your option) any later version. 012 * 013 * UJMP is distributed in the hope that it will be useful, 014 * but WITHOUT ANY WARRANTY; without even the implied warranty of 015 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 016 * GNU Lesser General Public License for more details. 017 * 018 * You should have received a copy of the GNU Lesser General Public 019 * License along with UJMP; if not, write to the 020 * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, 021 * Boston, MA 02110-1301 USA 022 */ 023 024 package org.ujmp.core.doublematrix.calculation.general.decomposition; 025 026 import org.ujmp.core.Matrix; 027 import org.ujmp.core.util.DecompositionOps; 028 import org.ujmp.core.util.UJMPSettings; 029 030 public interface Solve<T> { 031 032 public static int SQUARETHRESHOLD = 100; 033 034 public static int TALLTHRESHOLD = 100; 035 036 public T calc(T a, T b); 037 038 public static final Solve<Matrix> MATRIX = new Solve<Matrix>() { 039 040 public final Matrix calc(Matrix a, Matrix b) { 041 if (a.isSquare()) { 042 if (UJMPSettings.getNumberOfThreads() == 1) { 043 if (a.getRowCount() >= SQUARETHRESHOLD && a.getColumnCount() >= SQUARETHRESHOLD) { 044 return MATRIXSQUARELARGESINGLETHREADED.calc(a, b); 045 } else { 046 return MATRIXSQUARESMALLSINGLETHREADED.calc(a, b); 047 } 048 } else { 049 if (a.getRowCount() >= SQUARETHRESHOLD && a.getColumnCount() >= SQUARETHRESHOLD) { 050 return MATRIXSQUARELARGEMULTITHREADED.calc(a, b); 051 } else { 052 return MATRIXSQUARESMALLMULTITHREADED.calc(a, b); 053 } 054 } 055 } else { 056 if (UJMPSettings.getNumberOfThreads() == 1) { 057 if (a.getRowCount() >= TALLTHRESHOLD && a.getColumnCount() >= TALLTHRESHOLD) { 058 return MATRIXTALLLARGESINGLETHREADED.calc(a, b); 059 } else { 060 return MATRIXTALLSMALLSINGLETHREADED.calc(a, b); 061 } 062 } else { 063 if (a.getRowCount() >= TALLTHRESHOLD && a.getColumnCount() >= TALLTHRESHOLD) { 064 return MATRIXTALLLARGEMULTITHREADED.calc(a, b); 065 } else { 066 return MATRIXTALLSMALLMULTITHREADED.calc(a, b); 067 } 068 } 069 } 070 } 071 }; 072 073 public static final Solve<Matrix> INSTANCE = MATRIX; 074 075 public static final Solve<Matrix> UJMPSQUARE = new Solve<Matrix>() { 076 077 public final Matrix calc(Matrix a, Matrix b) { 078 return LU.INSTANCE.solve(a, b); 079 } 080 }; 081 082 public static final Solve<Matrix> UJMPTALL = new Solve<Matrix>() { 083 084 public final Matrix calc(Matrix a, Matrix b) { 085 return QR.INSTANCE.solve(a, b); 086 } 087 }; 088 089 public static final Solve<Matrix> MATRIXSQUARESMALLSINGLETHREADED = UJMPSQUARE; 090 091 public static final Solve<Matrix> MATRIXTALLSMALLSINGLETHREADED = UJMPTALL; 092 093 public static final Solve<Matrix> MATRIXSQUARELARGESINGLETHREADED = new Solve<Matrix>() { 094 public final Matrix calc(Matrix a, Matrix b) { 095 Solve<Matrix> solve = null; 096 if (UJMPSettings.isUseJBlas()) { 097 solve = DecompositionOps.SOLVE_JBLAS; 098 } 099 if (solve == null && UJMPSettings.isUseOjalgo()) { 100 solve = DecompositionOps.SOLVE_OJALGO; 101 } 102 if (solve == null && UJMPSettings.isUseEJML()) { 103 solve = DecompositionOps.SOLVE_EJML; 104 } 105 if (solve == null && UJMPSettings.isUseMTJ()) { 106 solve = DecompositionOps.SOLVE_MTJ; 107 } 108 if (solve == null) { 109 solve = UJMPSQUARE; 110 } 111 return solve.calc(a, b); 112 } 113 }; 114 115 public static final Solve<Matrix> MATRIXTALLLARGESINGLETHREADED = new Solve<Matrix>() { 116 public final Matrix calc(Matrix a, Matrix b) { 117 Solve<Matrix> solve = null; 118 if (UJMPSettings.isUseOjalgo()) { 119 solve = DecompositionOps.SOLVE_OJALGO; 120 } 121 if (solve == null && UJMPSettings.isUseEJML()) { 122 solve = DecompositionOps.SOLVE_EJML; 123 } 124 if (solve == null && UJMPSettings.isUseMTJ()) { 125 solve = DecompositionOps.SOLVE_MTJ; 126 } 127 if (solve == null) { 128 solve = UJMPTALL; 129 } 130 return solve.calc(a, b); 131 } 132 }; 133 134 public static final Solve<Matrix> MATRIXSQUARELARGEMULTITHREADED = new Solve<Matrix>() { 135 public Matrix calc(Matrix a, Matrix b) { 136 Solve<Matrix> solve = null; 137 if (UJMPSettings.isUseJBlas()) { 138 solve = DecompositionOps.SOLVE_JBLAS; 139 } 140 if (solve == null && UJMPSettings.isUseOjalgo()) { 141 solve = DecompositionOps.SOLVE_OJALGO; 142 } 143 if (solve == null && UJMPSettings.isUseEJML()) { 144 solve = DecompositionOps.SOLVE_EJML; 145 } 146 if (solve == null) { 147 solve = UJMPSQUARE; 148 } 149 return solve.calc(a, b); 150 } 151 }; 152 153 public static final Solve<Matrix> MATRIXTALLLARGEMULTITHREADED = new Solve<Matrix>() { 154 public Matrix calc(Matrix a, Matrix b) { 155 Solve<Matrix> solve = null; 156 if (UJMPSettings.isUseParallelColt()) { 157 solve = DecompositionOps.SOLVE_PARALLELCOLT; 158 } 159 if (UJMPSettings.isUseOjalgo()) { 160 solve = DecompositionOps.SOLVE_OJALGO; 161 } 162 if (solve == null && UJMPSettings.isUseEJML()) { 163 solve = DecompositionOps.SOLVE_EJML; 164 } 165 if (solve == null) { 166 solve = UJMPTALL; 167 } 168 return solve.calc(a, b); 169 } 170 }; 171 172 public static final Solve<Matrix> MATRIXSQUARESMALLMULTITHREADED = UJMPSQUARE; 173 174 public static final Solve<Matrix> MATRIXTALLSMALLMULTITHREADED = UJMPTALL; 175 }