1 | /*
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2 | * Licensed to the Apache Software Foundation (ASF) under one or more
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3 | * contributor license agreements. See the NOTICE file distributed with
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4 | * this work for additional information regarding copyright ownership.
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5 | * The ASF licenses this file to You under the Apache License, Version 2.0
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6 | * (the "License"); you may not use this file except in compliance with
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7 | * the License. You may obtain a copy of the License at
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8 | *
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9 | * http://www.apache.org/licenses/LICENSE-2.0
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10 | *
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11 | * Unless required by applicable law or agreed to in writing, software
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12 | * distributed under the License is distributed on an "AS IS" BASIS,
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13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 | * See the License for the specific language governing permissions and
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15 | * limitations under the License.
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16 | */
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17 |
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18 | package agents.org.apache.commons.math.linear;
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19 |
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20 | import agents.org.apache.commons.math.MathRuntimeException;
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21 | import agents.org.apache.commons.math.exception.util.LocalizedFormats;
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22 | import agents.org.apache.commons.math.linear.MatrixVisitorException;
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23 | import agents.org.apache.commons.math.util.FastMath;
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24 | import agents.org.apache.commons.math.util.MathUtils;
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25 |
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26 | /**
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27 | * Basic implementation of RealMatrix methods regardless of the underlying storage.
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28 | * <p>All the methods implemented here use {@link #getEntry(int, int)} to access
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29 | * matrix elements. Derived class can provide faster implementations. </p>
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30 | *
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31 | * @version $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $
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32 | * @since 2.0
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33 | */
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34 | public abstract class AbstractRealMatrix implements RealMatrix {
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35 |
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36 |
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37 | /** Cached LU solver.
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38 | * @deprecated as of release 2.0, since all methods using this are deprecated
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39 | */
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40 | @Deprecated
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41 | private DecompositionSolver lu;
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42 |
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43 | /**
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44 | * Creates a matrix with no data
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45 | */
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46 | protected AbstractRealMatrix() {
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47 | lu = null;
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48 | }
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49 |
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50 | /**
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51 | * Create a new RealMatrix with the supplied row and column dimensions.
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52 | *
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53 | * @param rowDimension the number of rows in the new matrix
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54 | * @param columnDimension the number of columns in the new matrix
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55 | * @throws IllegalArgumentException if row or column dimension is not positive
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56 | */
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57 | protected AbstractRealMatrix(final int rowDimension, final int columnDimension)
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58 | throws IllegalArgumentException {
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59 | if (rowDimension < 1 ) {
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60 | throw MathRuntimeException.createIllegalArgumentException(
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61 | LocalizedFormats.INSUFFICIENT_DIMENSION, rowDimension, 1);
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62 | }
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63 | if (columnDimension <= 0) {
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64 | throw MathRuntimeException.createIllegalArgumentException(
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65 | LocalizedFormats.INSUFFICIENT_DIMENSION, columnDimension, 1);
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66 | }
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67 | lu = null;
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68 | }
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69 |
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70 | /** {@inheritDoc} */
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71 | public abstract RealMatrix createMatrix(final int rowDimension, final int columnDimension)
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72 | throws IllegalArgumentException;
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73 |
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74 | /** {@inheritDoc} */
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75 | public abstract RealMatrix copy();
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76 |
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77 | /** {@inheritDoc} */
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78 | public RealMatrix add(RealMatrix m) throws IllegalArgumentException {
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79 |
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80 | // safety check
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81 | MatrixUtils.checkAdditionCompatible(this, m);
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82 |
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83 | final int rowCount = getRowDimension();
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84 | final int columnCount = getColumnDimension();
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85 | final RealMatrix out = createMatrix(rowCount, columnCount);
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86 | for (int row = 0; row < rowCount; ++row) {
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87 | for (int col = 0; col < columnCount; ++col) {
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88 | out.setEntry(row, col, getEntry(row, col) + m.getEntry(row, col));
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89 | }
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90 | }
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91 |
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92 | return out;
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93 |
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94 | }
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95 |
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96 | /** {@inheritDoc} */
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97 | public RealMatrix subtract(final RealMatrix m) throws IllegalArgumentException {
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98 |
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99 | // safety check
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100 | MatrixUtils.checkSubtractionCompatible(this, m);
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101 |
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102 | final int rowCount = getRowDimension();
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103 | final int columnCount = getColumnDimension();
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104 | final RealMatrix out = createMatrix(rowCount, columnCount);
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105 | for (int row = 0; row < rowCount; ++row) {
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106 | for (int col = 0; col < columnCount; ++col) {
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107 | out.setEntry(row, col, getEntry(row, col) - m.getEntry(row, col));
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108 | }
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109 | }
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110 |
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111 | return out;
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112 |
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113 | }
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114 |
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115 | /** {@inheritDoc} */
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116 | public RealMatrix scalarAdd(final double d) {
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117 |
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118 | final int rowCount = getRowDimension();
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119 | final int columnCount = getColumnDimension();
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120 | final RealMatrix out = createMatrix(rowCount, columnCount);
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121 | for (int row = 0; row < rowCount; ++row) {
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122 | for (int col = 0; col < columnCount; ++col) {
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123 | out.setEntry(row, col, getEntry(row, col) + d);
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124 | }
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125 | }
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126 |
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127 | return out;
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128 |
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129 | }
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130 |
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131 | /** {@inheritDoc} */
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132 | public RealMatrix scalarMultiply(final double d) {
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133 |
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134 | final int rowCount = getRowDimension();
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135 | final int columnCount = getColumnDimension();
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136 | final RealMatrix out = createMatrix(rowCount, columnCount);
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137 | for (int row = 0; row < rowCount; ++row) {
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138 | for (int col = 0; col < columnCount; ++col) {
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139 | out.setEntry(row, col, getEntry(row, col) * d);
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140 | }
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141 | }
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142 |
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143 | return out;
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144 |
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145 | }
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146 |
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147 | /** {@inheritDoc} */
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148 | public RealMatrix multiply(final RealMatrix m)
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149 | throws IllegalArgumentException {
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150 |
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151 | // safety check
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152 | MatrixUtils.checkMultiplicationCompatible(this, m);
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153 |
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154 | final int nRows = getRowDimension();
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155 | final int nCols = m.getColumnDimension();
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156 | final int nSum = getColumnDimension();
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157 | final RealMatrix out = createMatrix(nRows, nCols);
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158 | for (int row = 0; row < nRows; ++row) {
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159 | for (int col = 0; col < nCols; ++col) {
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160 | double sum = 0;
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161 | for (int i = 0; i < nSum; ++i) {
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162 | sum += getEntry(row, i) * m.getEntry(i, col);
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163 | }
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164 | out.setEntry(row, col, sum);
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165 | }
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166 | }
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167 |
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168 | return out;
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169 |
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170 | }
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171 |
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172 | /** {@inheritDoc} */
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173 | public RealMatrix preMultiply(final RealMatrix m)
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174 | throws IllegalArgumentException {
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175 | return m.multiply(this);
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176 | }
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177 |
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178 | /** {@inheritDoc} */
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179 | public double[][] getData() {
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180 |
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181 | final double[][] data = new double[getRowDimension()][getColumnDimension()];
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182 |
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183 | for (int i = 0; i < data.length; ++i) {
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184 | final double[] dataI = data[i];
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185 | for (int j = 0; j < dataI.length; ++j) {
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186 | dataI[j] = getEntry(i, j);
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187 | }
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188 | }
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189 |
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190 | return data;
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191 |
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192 | }
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193 |
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194 | /** {@inheritDoc} */
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195 | public double getNorm() {
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196 | return walkInColumnOrder(new RealMatrixPreservingVisitor() {
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197 |
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198 | /** Last row index. */
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199 | private double endRow;
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200 |
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201 | /** Sum of absolute values on one column. */
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202 | private double columnSum;
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203 |
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204 | /** Maximal sum across all columns. */
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205 | private double maxColSum;
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206 |
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207 | /** {@inheritDoc} */
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208 | public void start(final int rows, final int columns,
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209 | final int startRow, final int endRow,
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210 | final int startColumn, final int endColumn) {
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211 | this.endRow = endRow;
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212 | columnSum = 0;
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213 | maxColSum = 0;
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214 | }
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215 |
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216 | /** {@inheritDoc} */
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217 | public void visit(final int row, final int column, final double value) {
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218 | columnSum += FastMath.abs(value);
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219 | if (row == endRow) {
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220 | maxColSum = FastMath.max(maxColSum, columnSum);
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221 | columnSum = 0;
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222 | }
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223 | }
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224 |
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225 | /** {@inheritDoc} */
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226 | public double end() {
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227 | return maxColSum;
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228 | }
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229 |
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230 | });
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231 | }
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232 |
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233 | /** {@inheritDoc} */
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234 | public double getFrobeniusNorm() {
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235 | return walkInOptimizedOrder(new RealMatrixPreservingVisitor() {
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236 |
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237 | /** Sum of squared entries. */
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238 | private double sum;
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239 |
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240 | /** {@inheritDoc} */
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241 | public void start(final int rows, final int columns,
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242 | final int startRow, final int endRow,
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243 | final int startColumn, final int endColumn) {
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244 | sum = 0;
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245 | }
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246 |
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247 | /** {@inheritDoc} */
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248 | public void visit(final int row, final int column, final double value) {
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249 | sum += value * value;
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250 | }
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251 |
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252 | /** {@inheritDoc} */
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253 | public double end() {
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254 | return FastMath.sqrt(sum);
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255 | }
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256 |
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257 | });
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258 | }
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259 |
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260 | /** {@inheritDoc} */
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261 | public RealMatrix getSubMatrix(final int startRow, final int endRow,
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262 | final int startColumn, final int endColumn)
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263 | throws MatrixIndexException {
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264 |
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265 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
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266 |
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267 | final RealMatrix subMatrix =
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268 | createMatrix(endRow - startRow + 1, endColumn - startColumn + 1);
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269 | for (int i = startRow; i <= endRow; ++i) {
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270 | for (int j = startColumn; j <= endColumn; ++j) {
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271 | subMatrix.setEntry(i - startRow, j - startColumn, getEntry(i, j));
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272 | }
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273 | }
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274 |
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275 | return subMatrix;
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276 |
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277 | }
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278 |
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279 | /** {@inheritDoc} */
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280 | public RealMatrix getSubMatrix(final int[] selectedRows, final int[] selectedColumns)
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281 | throws MatrixIndexException {
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282 |
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283 | // safety checks
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284 | MatrixUtils.checkSubMatrixIndex(this, selectedRows, selectedColumns);
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285 |
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286 | // copy entries
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287 | final RealMatrix subMatrix =
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288 | createMatrix(selectedRows.length, selectedColumns.length);
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289 | subMatrix.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor() {
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290 |
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291 | /** {@inheritDoc} */
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292 | @Override
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293 | public double visit(final int row, final int column, final double value) {
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294 | return getEntry(selectedRows[row], selectedColumns[column]);
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295 | }
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296 |
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297 | });
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298 |
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299 | return subMatrix;
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300 |
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301 | }
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302 |
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303 | /** {@inheritDoc} */
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304 | public void copySubMatrix(final int startRow, final int endRow,
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305 | final int startColumn, final int endColumn,
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306 | final double[][] destination)
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307 | throws MatrixIndexException, IllegalArgumentException {
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308 |
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309 | // safety checks
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310 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
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311 | final int rowsCount = endRow + 1 - startRow;
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312 | final int columnsCount = endColumn + 1 - startColumn;
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313 | if ((destination.length < rowsCount) || (destination[0].length < columnsCount)) {
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314 | throw MathRuntimeException.createIllegalArgumentException(
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315 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
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316 | destination.length, destination[0].length,
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317 | rowsCount, columnsCount);
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318 | }
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319 |
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320 | // copy entries
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321 | walkInOptimizedOrder(new DefaultRealMatrixPreservingVisitor() {
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322 |
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323 | /** Initial row index. */
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324 | private int startRow;
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325 |
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326 | /** Initial column index. */
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327 | private int startColumn;
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328 |
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329 | /** {@inheritDoc} */
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330 | @Override
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331 | public void start(final int rows, final int columns,
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332 | final int startRow, final int endRow,
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333 | final int startColumn, final int endColumn) {
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334 | this.startRow = startRow;
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335 | this.startColumn = startColumn;
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336 | }
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337 |
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338 | /** {@inheritDoc} */
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339 | @Override
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340 | public void visit(final int row, final int column, final double value) {
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341 | destination[row - startRow][column - startColumn] = value;
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342 | }
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343 |
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344 | }, startRow, endRow, startColumn, endColumn);
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345 |
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346 | }
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347 |
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348 | /** {@inheritDoc} */
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349 | public void copySubMatrix(int[] selectedRows, int[] selectedColumns, double[][] destination)
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350 | throws MatrixIndexException, IllegalArgumentException {
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351 |
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352 | // safety checks
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353 | MatrixUtils.checkSubMatrixIndex(this, selectedRows, selectedColumns);
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354 | if ((destination.length < selectedRows.length) ||
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355 | (destination[0].length < selectedColumns.length)) {
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356 | throw MathRuntimeException.createIllegalArgumentException(
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357 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
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358 | destination.length, destination[0].length,
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359 | selectedRows.length, selectedColumns.length);
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360 | }
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361 |
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362 | // copy entries
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363 | for (int i = 0; i < selectedRows.length; i++) {
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364 | final double[] destinationI = destination[i];
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365 | for (int j = 0; j < selectedColumns.length; j++) {
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366 | destinationI[j] = getEntry(selectedRows[i], selectedColumns[j]);
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367 | }
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368 | }
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369 |
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370 | }
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371 |
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372 | /** {@inheritDoc} */
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373 | public void setSubMatrix(final double[][] subMatrix, final int row, final int column)
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374 | throws MatrixIndexException {
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375 |
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376 | final int nRows = subMatrix.length;
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377 | if (nRows == 0) {
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378 | throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.AT_LEAST_ONE_ROW);
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379 | }
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380 |
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381 | final int nCols = subMatrix[0].length;
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382 | if (nCols == 0) {
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383 | throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.AT_LEAST_ONE_COLUMN);
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384 | }
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385 |
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386 | for (int r = 1; r < nRows; ++r) {
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387 | if (subMatrix[r].length != nCols) {
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388 | throw MathRuntimeException.createIllegalArgumentException(
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389 | LocalizedFormats.DIFFERENT_ROWS_LENGTHS,
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390 | nCols, subMatrix[r].length);
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391 | }
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392 | }
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393 |
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394 | MatrixUtils.checkRowIndex(this, row);
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395 | MatrixUtils.checkColumnIndex(this, column);
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396 | MatrixUtils.checkRowIndex(this, nRows + row - 1);
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397 | MatrixUtils.checkColumnIndex(this, nCols + column - 1);
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398 |
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399 | for (int i = 0; i < nRows; ++i) {
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400 | for (int j = 0; j < nCols; ++j) {
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401 | setEntry(row + i, column + j, subMatrix[i][j]);
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402 | }
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403 | }
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404 |
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405 | lu = null;
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406 |
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407 | }
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408 |
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409 | /** {@inheritDoc} */
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410 | public RealMatrix getRowMatrix(final int row)
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411 | throws MatrixIndexException {
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412 |
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413 | MatrixUtils.checkRowIndex(this, row);
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414 | final int nCols = getColumnDimension();
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415 | final RealMatrix out = createMatrix(1, nCols);
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416 | for (int i = 0; i < nCols; ++i) {
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417 | out.setEntry(0, i, getEntry(row, i));
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418 | }
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419 |
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420 | return out;
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421 |
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422 | }
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423 |
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424 | /** {@inheritDoc} */
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425 | public void setRowMatrix(final int row, final RealMatrix matrix)
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426 | throws MatrixIndexException, InvalidMatrixException {
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427 |
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428 | MatrixUtils.checkRowIndex(this, row);
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429 | final int nCols = getColumnDimension();
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430 | if ((matrix.getRowDimension() != 1) ||
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431 | (matrix.getColumnDimension() != nCols)) {
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432 | throw new InvalidMatrixException(
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433 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
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434 | matrix.getRowDimension(), matrix.getColumnDimension(), 1, nCols);
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435 | }
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436 | for (int i = 0; i < nCols; ++i) {
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437 | setEntry(row, i, matrix.getEntry(0, i));
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438 | }
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439 |
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440 | }
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441 |
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442 | /** {@inheritDoc} */
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443 | public RealMatrix getColumnMatrix(final int column)
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444 | throws MatrixIndexException {
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445 |
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446 | MatrixUtils.checkColumnIndex(this, column);
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447 | final int nRows = getRowDimension();
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448 | final RealMatrix out = createMatrix(nRows, 1);
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449 | for (int i = 0; i < nRows; ++i) {
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450 | out.setEntry(i, 0, getEntry(i, column));
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451 | }
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452 |
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453 | return out;
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454 |
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455 | }
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456 |
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457 | /** {@inheritDoc} */
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458 | public void setColumnMatrix(final int column, final RealMatrix matrix)
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459 | throws MatrixIndexException, InvalidMatrixException {
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460 |
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461 | MatrixUtils.checkColumnIndex(this, column);
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462 | final int nRows = getRowDimension();
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463 | if ((matrix.getRowDimension() != nRows) ||
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464 | (matrix.getColumnDimension() != 1)) {
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465 | throw new InvalidMatrixException(
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466 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
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467 | matrix.getRowDimension(), matrix.getColumnDimension(), nRows, 1);
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468 | }
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469 | for (int i = 0; i < nRows; ++i) {
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470 | setEntry(i, column, matrix.getEntry(i, 0));
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471 | }
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472 |
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473 | }
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474 |
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475 | /** {@inheritDoc} */
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476 | public RealVector getRowVector(final int row)
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477 | throws MatrixIndexException {
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478 | return new ArrayRealVector(getRow(row), false);
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---|
479 | }
|
---|
480 |
|
---|
481 | /** {@inheritDoc} */
|
---|
482 | public void setRowVector(final int row, final RealVector vector)
|
---|
483 | throws MatrixIndexException, InvalidMatrixException {
|
---|
484 |
|
---|
485 | MatrixUtils.checkRowIndex(this, row);
|
---|
486 | final int nCols = getColumnDimension();
|
---|
487 | if (vector.getDimension() != nCols) {
|
---|
488 | throw new InvalidMatrixException(
|
---|
489 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
|
---|
490 | 1, vector.getDimension(), 1, nCols);
|
---|
491 | }
|
---|
492 | for (int i = 0; i < nCols; ++i) {
|
---|
493 | setEntry(row, i, vector.getEntry(i));
|
---|
494 | }
|
---|
495 |
|
---|
496 | }
|
---|
497 |
|
---|
498 | /** {@inheritDoc} */
|
---|
499 | public RealVector getColumnVector(final int column)
|
---|
500 | throws MatrixIndexException {
|
---|
501 | return new ArrayRealVector(getColumn(column), false);
|
---|
502 | }
|
---|
503 |
|
---|
504 | /** {@inheritDoc} */
|
---|
505 | public void setColumnVector(final int column, final RealVector vector)
|
---|
506 | throws MatrixIndexException, InvalidMatrixException {
|
---|
507 |
|
---|
508 | MatrixUtils.checkColumnIndex(this, column);
|
---|
509 | final int nRows = getRowDimension();
|
---|
510 | if (vector.getDimension() != nRows) {
|
---|
511 | throw new InvalidMatrixException(
|
---|
512 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
|
---|
513 | vector.getDimension(), 1, nRows, 1);
|
---|
514 | }
|
---|
515 | for (int i = 0; i < nRows; ++i) {
|
---|
516 | setEntry(i, column, vector.getEntry(i));
|
---|
517 | }
|
---|
518 |
|
---|
519 | }
|
---|
520 |
|
---|
521 | /** {@inheritDoc} */
|
---|
522 | public double[] getRow(final int row)
|
---|
523 | throws MatrixIndexException {
|
---|
524 |
|
---|
525 | MatrixUtils.checkRowIndex(this, row);
|
---|
526 | final int nCols = getColumnDimension();
|
---|
527 | final double[] out = new double[nCols];
|
---|
528 | for (int i = 0; i < nCols; ++i) {
|
---|
529 | out[i] = getEntry(row, i);
|
---|
530 | }
|
---|
531 |
|
---|
532 | return out;
|
---|
533 |
|
---|
534 | }
|
---|
535 |
|
---|
536 | /** {@inheritDoc} */
|
---|
537 | public void setRow(final int row, final double[] array)
|
---|
538 | throws MatrixIndexException, InvalidMatrixException {
|
---|
539 |
|
---|
540 | MatrixUtils.checkRowIndex(this, row);
|
---|
541 | final int nCols = getColumnDimension();
|
---|
542 | if (array.length != nCols) {
|
---|
543 | throw new InvalidMatrixException(
|
---|
544 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
|
---|
545 | 1, array.length, 1, nCols);
|
---|
546 | }
|
---|
547 | for (int i = 0; i < nCols; ++i) {
|
---|
548 | setEntry(row, i, array[i]);
|
---|
549 | }
|
---|
550 |
|
---|
551 | }
|
---|
552 |
|
---|
553 | /** {@inheritDoc} */
|
---|
554 | public double[] getColumn(final int column)
|
---|
555 | throws MatrixIndexException {
|
---|
556 |
|
---|
557 | MatrixUtils.checkColumnIndex(this, column);
|
---|
558 | final int nRows = getRowDimension();
|
---|
559 | final double[] out = new double[nRows];
|
---|
560 | for (int i = 0; i < nRows; ++i) {
|
---|
561 | out[i] = getEntry(i, column);
|
---|
562 | }
|
---|
563 |
|
---|
564 | return out;
|
---|
565 |
|
---|
566 | }
|
---|
567 |
|
---|
568 | /** {@inheritDoc} */
|
---|
569 | public void setColumn(final int column, final double[] array)
|
---|
570 | throws MatrixIndexException, InvalidMatrixException {
|
---|
571 |
|
---|
572 | MatrixUtils.checkColumnIndex(this, column);
|
---|
573 | final int nRows = getRowDimension();
|
---|
574 | if (array.length != nRows) {
|
---|
575 | throw new InvalidMatrixException(
|
---|
576 | LocalizedFormats.DIMENSIONS_MISMATCH_2x2,
|
---|
577 | array.length, 1, nRows, 1);
|
---|
578 | }
|
---|
579 | for (int i = 0; i < nRows; ++i) {
|
---|
580 | setEntry(i, column, array[i]);
|
---|
581 | }
|
---|
582 |
|
---|
583 | }
|
---|
584 |
|
---|
585 | /** {@inheritDoc} */
|
---|
586 | public abstract double getEntry(int row, int column)
|
---|
587 | throws MatrixIndexException;
|
---|
588 |
|
---|
589 | /** {@inheritDoc} */
|
---|
590 | public abstract void setEntry(int row, int column, double value)
|
---|
591 | throws MatrixIndexException;
|
---|
592 |
|
---|
593 | /** {@inheritDoc} */
|
---|
594 | public abstract void addToEntry(int row, int column, double increment)
|
---|
595 | throws MatrixIndexException;
|
---|
596 |
|
---|
597 | /** {@inheritDoc} */
|
---|
598 | public abstract void multiplyEntry(int row, int column, double factor)
|
---|
599 | throws MatrixIndexException;
|
---|
600 |
|
---|
601 | /** {@inheritDoc} */
|
---|
602 | public RealMatrix transpose() {
|
---|
603 |
|
---|
604 | final int nRows = getRowDimension();
|
---|
605 | final int nCols = getColumnDimension();
|
---|
606 | final RealMatrix out = createMatrix(nCols, nRows);
|
---|
607 | walkInOptimizedOrder(new DefaultRealMatrixPreservingVisitor() {
|
---|
608 |
|
---|
609 | /** {@inheritDoc} */
|
---|
610 | @Override
|
---|
611 | public void visit(final int row, final int column, final double value) {
|
---|
612 | out.setEntry(column, row, value);
|
---|
613 | }
|
---|
614 |
|
---|
615 | });
|
---|
616 |
|
---|
617 | return out;
|
---|
618 |
|
---|
619 | }
|
---|
620 |
|
---|
621 | /** {@inheritDoc} */
|
---|
622 | @Deprecated
|
---|
623 | public RealMatrix inverse()
|
---|
624 | throws InvalidMatrixException {
|
---|
625 | if (lu == null) {
|
---|
626 | lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
|
---|
627 | }
|
---|
628 | return lu.getInverse();
|
---|
629 | }
|
---|
630 |
|
---|
631 | /** {@inheritDoc} */
|
---|
632 | @Deprecated
|
---|
633 | public double getDeterminant()
|
---|
634 | throws InvalidMatrixException {
|
---|
635 | return new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getDeterminant();
|
---|
636 | }
|
---|
637 |
|
---|
638 | /** {@inheritDoc} */
|
---|
639 | public boolean isSquare() {
|
---|
640 | return getColumnDimension() == getRowDimension();
|
---|
641 | }
|
---|
642 |
|
---|
643 | /** {@inheritDoc} */
|
---|
644 | @Deprecated
|
---|
645 | public boolean isSingular() {
|
---|
646 | if (lu == null) {
|
---|
647 | lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
|
---|
648 | }
|
---|
649 | return !lu.isNonSingular();
|
---|
650 | }
|
---|
651 |
|
---|
652 | /** {@inheritDoc} */
|
---|
653 | public abstract int getRowDimension();
|
---|
654 |
|
---|
655 | /** {@inheritDoc} */
|
---|
656 | public abstract int getColumnDimension();
|
---|
657 |
|
---|
658 | /** {@inheritDoc} */
|
---|
659 | public double getTrace()
|
---|
660 | throws NonSquareMatrixException {
|
---|
661 | final int nRows = getRowDimension();
|
---|
662 | final int nCols = getColumnDimension();
|
---|
663 | if (nRows != nCols) {
|
---|
664 | throw new NonSquareMatrixException(nRows, nCols);
|
---|
665 | }
|
---|
666 | double trace = 0;
|
---|
667 | for (int i = 0; i < nRows; ++i) {
|
---|
668 | trace += getEntry(i, i);
|
---|
669 | }
|
---|
670 | return trace;
|
---|
671 | }
|
---|
672 |
|
---|
673 | /** {@inheritDoc} */
|
---|
674 | public double[] operate(final double[] v)
|
---|
675 | throws IllegalArgumentException {
|
---|
676 |
|
---|
677 | final int nRows = getRowDimension();
|
---|
678 | final int nCols = getColumnDimension();
|
---|
679 | if (v.length != nCols) {
|
---|
680 | throw MathRuntimeException.createIllegalArgumentException(
|
---|
681 | LocalizedFormats.VECTOR_LENGTH_MISMATCH,
|
---|
682 | v.length, nCols);
|
---|
683 | }
|
---|
684 |
|
---|
685 | final double[] out = new double[nRows];
|
---|
686 | for (int row = 0; row < nRows; ++row) {
|
---|
687 | double sum = 0;
|
---|
688 | for (int i = 0; i < nCols; ++i) {
|
---|
689 | sum += getEntry(row, i) * v[i];
|
---|
690 | }
|
---|
691 | out[row] = sum;
|
---|
692 | }
|
---|
693 |
|
---|
694 | return out;
|
---|
695 |
|
---|
696 | }
|
---|
697 |
|
---|
698 | /** {@inheritDoc} */
|
---|
699 | public RealVector operate(final RealVector v)
|
---|
700 | throws IllegalArgumentException {
|
---|
701 | try {
|
---|
702 | return new ArrayRealVector(operate(((ArrayRealVector) v).getDataRef()), false);
|
---|
703 | } catch (ClassCastException cce) {
|
---|
704 | final int nRows = getRowDimension();
|
---|
705 | final int nCols = getColumnDimension();
|
---|
706 | if (v.getDimension() != nCols) {
|
---|
707 | throw MathRuntimeException.createIllegalArgumentException(
|
---|
708 | LocalizedFormats.VECTOR_LENGTH_MISMATCH,
|
---|
709 | v.getDimension(), nCols);
|
---|
710 | }
|
---|
711 |
|
---|
712 | final double[] out = new double[nRows];
|
---|
713 | for (int row = 0; row < nRows; ++row) {
|
---|
714 | double sum = 0;
|
---|
715 | for (int i = 0; i < nCols; ++i) {
|
---|
716 | sum += getEntry(row, i) * v.getEntry(i);
|
---|
717 | }
|
---|
718 | out[row] = sum;
|
---|
719 | }
|
---|
720 |
|
---|
721 | return new ArrayRealVector(out, false);
|
---|
722 | }
|
---|
723 | }
|
---|
724 |
|
---|
725 | /** {@inheritDoc} */
|
---|
726 | public double[] preMultiply(final double[] v)
|
---|
727 | throws IllegalArgumentException {
|
---|
728 |
|
---|
729 | final int nRows = getRowDimension();
|
---|
730 | final int nCols = getColumnDimension();
|
---|
731 | if (v.length != nRows) {
|
---|
732 | throw MathRuntimeException.createIllegalArgumentException(
|
---|
733 | LocalizedFormats.VECTOR_LENGTH_MISMATCH,
|
---|
734 | v.length, nRows);
|
---|
735 | }
|
---|
736 |
|
---|
737 | final double[] out = new double[nCols];
|
---|
738 | for (int col = 0; col < nCols; ++col) {
|
---|
739 | double sum = 0;
|
---|
740 | for (int i = 0; i < nRows; ++i) {
|
---|
741 | sum += getEntry(i, col) * v[i];
|
---|
742 | }
|
---|
743 | out[col] = sum;
|
---|
744 | }
|
---|
745 |
|
---|
746 | return out;
|
---|
747 |
|
---|
748 | }
|
---|
749 |
|
---|
750 | /** {@inheritDoc} */
|
---|
751 | public RealVector preMultiply(final RealVector v)
|
---|
752 | throws IllegalArgumentException {
|
---|
753 | try {
|
---|
754 | return new ArrayRealVector(preMultiply(((ArrayRealVector) v).getDataRef()), false);
|
---|
755 | } catch (ClassCastException cce) {
|
---|
756 |
|
---|
757 | final int nRows = getRowDimension();
|
---|
758 | final int nCols = getColumnDimension();
|
---|
759 | if (v.getDimension() != nRows) {
|
---|
760 | throw MathRuntimeException.createIllegalArgumentException(
|
---|
761 | LocalizedFormats.VECTOR_LENGTH_MISMATCH,
|
---|
762 | v.getDimension(), nRows);
|
---|
763 | }
|
---|
764 |
|
---|
765 | final double[] out = new double[nCols];
|
---|
766 | for (int col = 0; col < nCols; ++col) {
|
---|
767 | double sum = 0;
|
---|
768 | for (int i = 0; i < nRows; ++i) {
|
---|
769 | sum += getEntry(i, col) * v.getEntry(i);
|
---|
770 | }
|
---|
771 | out[col] = sum;
|
---|
772 | }
|
---|
773 |
|
---|
774 | return new ArrayRealVector(out);
|
---|
775 |
|
---|
776 | }
|
---|
777 | }
|
---|
778 |
|
---|
779 | /** {@inheritDoc} */
|
---|
780 | public double walkInRowOrder(final RealMatrixChangingVisitor visitor)
|
---|
781 | throws MatrixVisitorException {
|
---|
782 | final int rows = getRowDimension();
|
---|
783 | final int columns = getColumnDimension();
|
---|
784 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
785 | for (int row = 0; row < rows; ++row) {
|
---|
786 | for (int column = 0; column < columns; ++column) {
|
---|
787 | final double oldValue = getEntry(row, column);
|
---|
788 | final double newValue = visitor.visit(row, column, oldValue);
|
---|
789 | setEntry(row, column, newValue);
|
---|
790 | }
|
---|
791 | }
|
---|
792 | lu = null;
|
---|
793 | return visitor.end();
|
---|
794 | }
|
---|
795 |
|
---|
796 | /** {@inheritDoc} */
|
---|
797 | public double walkInRowOrder(final RealMatrixPreservingVisitor visitor)
|
---|
798 | throws MatrixVisitorException {
|
---|
799 | final int rows = getRowDimension();
|
---|
800 | final int columns = getColumnDimension();
|
---|
801 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
802 | for (int row = 0; row < rows; ++row) {
|
---|
803 | for (int column = 0; column < columns; ++column) {
|
---|
804 | visitor.visit(row, column, getEntry(row, column));
|
---|
805 | }
|
---|
806 | }
|
---|
807 | return visitor.end();
|
---|
808 | }
|
---|
809 |
|
---|
810 | /** {@inheritDoc} */
|
---|
811 | public double walkInRowOrder(final RealMatrixChangingVisitor visitor,
|
---|
812 | final int startRow, final int endRow,
|
---|
813 | final int startColumn, final int endColumn)
|
---|
814 | throws MatrixIndexException, MatrixVisitorException {
|
---|
815 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
816 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
817 | startRow, endRow, startColumn, endColumn);
|
---|
818 | for (int row = startRow; row <= endRow; ++row) {
|
---|
819 | for (int column = startColumn; column <= endColumn; ++column) {
|
---|
820 | final double oldValue = getEntry(row, column);
|
---|
821 | final double newValue = visitor.visit(row, column, oldValue);
|
---|
822 | setEntry(row, column, newValue);
|
---|
823 | }
|
---|
824 | }
|
---|
825 | lu = null;
|
---|
826 | return visitor.end();
|
---|
827 | }
|
---|
828 |
|
---|
829 | /** {@inheritDoc} */
|
---|
830 | public double walkInRowOrder(final RealMatrixPreservingVisitor visitor,
|
---|
831 | final int startRow, final int endRow,
|
---|
832 | final int startColumn, final int endColumn)
|
---|
833 | throws MatrixIndexException, MatrixVisitorException {
|
---|
834 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
835 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
836 | startRow, endRow, startColumn, endColumn);
|
---|
837 | for (int row = startRow; row <= endRow; ++row) {
|
---|
838 | for (int column = startColumn; column <= endColumn; ++column) {
|
---|
839 | visitor.visit(row, column, getEntry(row, column));
|
---|
840 | }
|
---|
841 | }
|
---|
842 | return visitor.end();
|
---|
843 | }
|
---|
844 |
|
---|
845 | /** {@inheritDoc} */
|
---|
846 | public double walkInColumnOrder(final RealMatrixChangingVisitor visitor)
|
---|
847 | throws MatrixVisitorException {
|
---|
848 | final int rows = getRowDimension();
|
---|
849 | final int columns = getColumnDimension();
|
---|
850 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
851 | for (int column = 0; column < columns; ++column) {
|
---|
852 | for (int row = 0; row < rows; ++row) {
|
---|
853 | final double oldValue = getEntry(row, column);
|
---|
854 | final double newValue = visitor.visit(row, column, oldValue);
|
---|
855 | setEntry(row, column, newValue);
|
---|
856 | }
|
---|
857 | }
|
---|
858 | lu = null;
|
---|
859 | return visitor.end();
|
---|
860 | }
|
---|
861 |
|
---|
862 | /** {@inheritDoc} */
|
---|
863 | public double walkInColumnOrder(final RealMatrixPreservingVisitor visitor)
|
---|
864 | throws MatrixVisitorException {
|
---|
865 | final int rows = getRowDimension();
|
---|
866 | final int columns = getColumnDimension();
|
---|
867 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
868 | for (int column = 0; column < columns; ++column) {
|
---|
869 | for (int row = 0; row < rows; ++row) {
|
---|
870 | visitor.visit(row, column, getEntry(row, column));
|
---|
871 | }
|
---|
872 | }
|
---|
873 | return visitor.end();
|
---|
874 | }
|
---|
875 |
|
---|
876 | /** {@inheritDoc} */
|
---|
877 | public double walkInColumnOrder(final RealMatrixChangingVisitor visitor,
|
---|
878 | final int startRow, final int endRow,
|
---|
879 | final int startColumn, final int endColumn)
|
---|
880 | throws MatrixIndexException, MatrixVisitorException {
|
---|
881 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
882 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
883 | startRow, endRow, startColumn, endColumn);
|
---|
884 | for (int column = startColumn; column <= endColumn; ++column) {
|
---|
885 | for (int row = startRow; row <= endRow; ++row) {
|
---|
886 | final double oldValue = getEntry(row, column);
|
---|
887 | final double newValue = visitor.visit(row, column, oldValue);
|
---|
888 | setEntry(row, column, newValue);
|
---|
889 | }
|
---|
890 | }
|
---|
891 | lu = null;
|
---|
892 | return visitor.end();
|
---|
893 | }
|
---|
894 |
|
---|
895 | /** {@inheritDoc} */
|
---|
896 | public double walkInColumnOrder(final RealMatrixPreservingVisitor visitor,
|
---|
897 | final int startRow, final int endRow,
|
---|
898 | final int startColumn, final int endColumn)
|
---|
899 | throws MatrixIndexException, MatrixVisitorException {
|
---|
900 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
901 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
902 | startRow, endRow, startColumn, endColumn);
|
---|
903 | for (int column = startColumn; column <= endColumn; ++column) {
|
---|
904 | for (int row = startRow; row <= endRow; ++row) {
|
---|
905 | visitor.visit(row, column, getEntry(row, column));
|
---|
906 | }
|
---|
907 | }
|
---|
908 | return visitor.end();
|
---|
909 | }
|
---|
910 |
|
---|
911 | /** {@inheritDoc} */
|
---|
912 | public double walkInOptimizedOrder(final RealMatrixChangingVisitor visitor)
|
---|
913 | throws MatrixVisitorException {
|
---|
914 | return walkInRowOrder(visitor);
|
---|
915 | }
|
---|
916 |
|
---|
917 | /** {@inheritDoc} */
|
---|
918 | public double walkInOptimizedOrder(final RealMatrixPreservingVisitor visitor)
|
---|
919 | throws MatrixVisitorException {
|
---|
920 | return walkInRowOrder(visitor);
|
---|
921 | }
|
---|
922 |
|
---|
923 | /** {@inheritDoc} */
|
---|
924 | public double walkInOptimizedOrder(final RealMatrixChangingVisitor visitor,
|
---|
925 | final int startRow, final int endRow,
|
---|
926 | final int startColumn, final int endColumn)
|
---|
927 | throws MatrixIndexException, MatrixVisitorException {
|
---|
928 | return walkInRowOrder(visitor, startRow, endRow, startColumn, endColumn);
|
---|
929 | }
|
---|
930 |
|
---|
931 | /** {@inheritDoc} */
|
---|
932 | public double walkInOptimizedOrder(final RealMatrixPreservingVisitor visitor,
|
---|
933 | final int startRow, final int endRow,
|
---|
934 | final int startColumn, final int endColumn)
|
---|
935 | throws MatrixIndexException, MatrixVisitorException {
|
---|
936 | return walkInRowOrder(visitor, startRow, endRow, startColumn, endColumn);
|
---|
937 | }
|
---|
938 |
|
---|
939 | /** {@inheritDoc} */
|
---|
940 | @Deprecated
|
---|
941 | public double[] solve(final double[] b)
|
---|
942 | throws IllegalArgumentException, InvalidMatrixException {
|
---|
943 | if (lu == null) {
|
---|
944 | lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
|
---|
945 | }
|
---|
946 | return lu.solve(b);
|
---|
947 | }
|
---|
948 |
|
---|
949 | /** {@inheritDoc} */
|
---|
950 | @Deprecated
|
---|
951 | public RealMatrix solve(final RealMatrix b)
|
---|
952 | throws IllegalArgumentException, InvalidMatrixException {
|
---|
953 | if (lu == null) {
|
---|
954 | lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
|
---|
955 | }
|
---|
956 | return lu.solve(b);
|
---|
957 | }
|
---|
958 |
|
---|
959 | /**
|
---|
960 | * Computes a new
|
---|
961 | * <a href="http://www.math.gatech.edu/~bourbaki/math2601/Web-notes/2num.pdf">
|
---|
962 | * LU decomposition</a> for this matrix, storing the result for use by other methods.
|
---|
963 | * <p>
|
---|
964 | * <strong>Implementation Note</strong>:<br>
|
---|
965 | * Uses <a href="http://www.damtp.cam.ac.uk/user/fdl/people/sd/lectures/nummeth98/linear.htm">
|
---|
966 | * Crout's algorithm</a>, with partial pivoting.</p>
|
---|
967 | * <p>
|
---|
968 | * <strong>Usage Note</strong>:<br>
|
---|
969 | * This method should rarely be invoked directly. Its only use is
|
---|
970 | * to force recomputation of the LU decomposition when changes have been
|
---|
971 | * made to the underlying data using direct array references. Changes
|
---|
972 | * made using setXxx methods will trigger recomputation when needed
|
---|
973 | * automatically.</p>
|
---|
974 | *
|
---|
975 | * @throws InvalidMatrixException if the matrix is non-square or singular.
|
---|
976 | * @deprecated as of release 2.0, replaced by {@link LUDecomposition}
|
---|
977 | */
|
---|
978 | @Deprecated
|
---|
979 | public void luDecompose()
|
---|
980 | throws InvalidMatrixException {
|
---|
981 | if (lu == null) {
|
---|
982 | lu = new LUDecompositionImpl(this, MathUtils.SAFE_MIN).getSolver();
|
---|
983 | }
|
---|
984 | }
|
---|
985 |
|
---|
986 | /**
|
---|
987 | * Get a string representation for this matrix.
|
---|
988 | * @return a string representation for this matrix
|
---|
989 | */
|
---|
990 | @Override
|
---|
991 | public String toString() {
|
---|
992 | final int nRows = getRowDimension();
|
---|
993 | final int nCols = getColumnDimension();
|
---|
994 | final StringBuilder res = new StringBuilder();
|
---|
995 | String fullClassName = getClass().getName();
|
---|
996 | String shortClassName = fullClassName.substring(fullClassName.lastIndexOf('.') + 1);
|
---|
997 | res.append(shortClassName).append("{");
|
---|
998 |
|
---|
999 | for (int i = 0; i < nRows; ++i) {
|
---|
1000 | if (i > 0) {
|
---|
1001 | res.append(",");
|
---|
1002 | }
|
---|
1003 | res.append("{");
|
---|
1004 | for (int j = 0; j < nCols; ++j) {
|
---|
1005 | if (j > 0) {
|
---|
1006 | res.append(",");
|
---|
1007 | }
|
---|
1008 | res.append(getEntry(i, j));
|
---|
1009 | }
|
---|
1010 | res.append("}");
|
---|
1011 | }
|
---|
1012 |
|
---|
1013 | res.append("}");
|
---|
1014 | return res.toString();
|
---|
1015 |
|
---|
1016 | }
|
---|
1017 |
|
---|
1018 | /**
|
---|
1019 | * Returns true iff <code>object</code> is a
|
---|
1020 | * <code>RealMatrix</code> instance with the same dimensions as this
|
---|
1021 | * and all corresponding matrix entries are equal.
|
---|
1022 | *
|
---|
1023 | * @param object the object to test equality against.
|
---|
1024 | * @return true if object equals this
|
---|
1025 | */
|
---|
1026 | @Override
|
---|
1027 | public boolean equals(final Object object) {
|
---|
1028 | if (object == this ) {
|
---|
1029 | return true;
|
---|
1030 | }
|
---|
1031 | if (object instanceof RealMatrix == false) {
|
---|
1032 | return false;
|
---|
1033 | }
|
---|
1034 | RealMatrix m = (RealMatrix) object;
|
---|
1035 | final int nRows = getRowDimension();
|
---|
1036 | final int nCols = getColumnDimension();
|
---|
1037 | if (m.getColumnDimension() != nCols || m.getRowDimension() != nRows) {
|
---|
1038 | return false;
|
---|
1039 | }
|
---|
1040 | for (int row = 0; row < nRows; ++row) {
|
---|
1041 | for (int col = 0; col < nCols; ++col) {
|
---|
1042 | if (getEntry(row, col) != m.getEntry(row, col)) {
|
---|
1043 | return false;
|
---|
1044 | }
|
---|
1045 | }
|
---|
1046 | }
|
---|
1047 | return true;
|
---|
1048 | }
|
---|
1049 |
|
---|
1050 | /**
|
---|
1051 | * Computes a hashcode for the matrix.
|
---|
1052 | *
|
---|
1053 | * @return hashcode for matrix
|
---|
1054 | */
|
---|
1055 | @Override
|
---|
1056 | public int hashCode() {
|
---|
1057 | int ret = 7;
|
---|
1058 | final int nRows = getRowDimension();
|
---|
1059 | final int nCols = getColumnDimension();
|
---|
1060 | ret = ret * 31 + nRows;
|
---|
1061 | ret = ret * 31 + nCols;
|
---|
1062 | for (int row = 0; row < nRows; ++row) {
|
---|
1063 | for (int col = 0; col < nCols; ++col) {
|
---|
1064 | ret = ret * 31 + (11 * (row+1) + 17 * (col+1)) *
|
---|
1065 | MathUtils.hash(getEntry(row, col));
|
---|
1066 | }
|
---|
1067 | }
|
---|
1068 | return ret;
|
---|
1069 | }
|
---|
1070 |
|
---|
1071 | }
|
---|