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 java.io.Serializable;
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21 |
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22 | import agents.org.apache.commons.math.MathRuntimeException;
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23 | import agents.org.apache.commons.math.exception.util.LocalizedFormats;
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24 | import agents.org.apache.commons.math.linear.MatrixVisitorException;
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25 |
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26 | /**
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27 | * Implementation of RealMatrix using a double[][] array to store entries and
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28 | * <a href="http://www.math.gatech.edu/~bourbaki/math2601/Web-notes/2num.pdf">
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29 | * LU decomposition</a> to support linear system
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30 | * solution and inverse.
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31 | * <p>
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32 | * The LU decomposition is performed as needed, to support the following operations: <ul>
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33 | * <li>solve</li>
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34 | * <li>isSingular</li>
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35 | * <li>getDeterminant</li>
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36 | * <li>inverse</li> </ul></p>
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37 | * <p>
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38 | * <strong>Usage notes</strong>:<br>
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39 | * <ul><li>
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40 | * The LU decomposition is cached and reused on subsequent calls.
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41 | * If data are modified via references to the underlying array obtained using
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42 | * <code>getDataRef()</code>, then the stored LU decomposition will not be
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43 | * discarded. In this case, you need to explicitly invoke
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44 | * <code>LUDecompose()</code> to recompute the decomposition
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45 | * before using any of the methods above.</li>
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46 | * <li>
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47 | * As specified in the {@link RealMatrix} interface, matrix element indexing
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48 | * is 0-based -- e.g., <code>getEntry(0, 0)</code>
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49 | * returns the element in the first row, first column of the matrix.</li></ul>
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50 | * </p>
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51 | *
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52 | * @version $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $
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53 | * @deprecated as of 2.0 replaced by {@link Array2DRowRealMatrix}
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54 | */
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55 | @Deprecated
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56 | public class RealMatrixImpl extends AbstractRealMatrix implements Serializable {
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57 |
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58 | /** Serializable version identifier */
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59 | private static final long serialVersionUID = -1067294169172445528L;
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60 |
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61 | /** Entries of the matrix */
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62 | protected double data[][];
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63 |
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64 | /**
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65 | * Creates a matrix with no data
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66 | */
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67 | public RealMatrixImpl() {
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68 | }
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69 |
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70 | /**
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71 | * Create a new RealMatrix with the supplied row and column dimensions.
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72 | *
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73 | * @param rowDimension the number of rows in the new matrix
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74 | * @param columnDimension the number of columns in the new matrix
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75 | * @throws IllegalArgumentException if row or column dimension is not
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76 | * positive
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77 | */
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78 | public RealMatrixImpl(final int rowDimension, final int columnDimension)
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79 | throws IllegalArgumentException {
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80 | super(rowDimension, columnDimension);
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81 | data = new double[rowDimension][columnDimension];
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82 | }
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83 |
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84 | /**
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85 | * Create a new RealMatrix using the input array as the underlying
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86 | * data array.
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87 | * <p>The input array is copied, not referenced. This constructor has
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88 | * the same effect as calling {@link #RealMatrixImpl(double[][], boolean)}
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89 | * with the second argument set to <code>true</code>.</p>
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90 | *
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91 | * @param d data for new matrix
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92 | * @throws IllegalArgumentException if <code>d</code> is not rectangular
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93 | * (not all rows have the same length) or empty
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94 | * @throws NullPointerException if <code>d</code> is null
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95 | * @see #RealMatrixImpl(double[][], boolean)
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96 | */
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97 | public RealMatrixImpl(final double[][] d)
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98 | throws IllegalArgumentException, NullPointerException {
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99 | copyIn(d);
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100 | }
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101 |
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102 | /**
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103 | * Create a new RealMatrix using the input array as the underlying
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104 | * data array.
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105 | * <p>If an array is built specially in order to be embedded in a
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106 | * RealMatrix and not used directly, the <code>copyArray</code> may be
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107 | * set to <code>false</code. This will prevent the copying and improve
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108 | * performance as no new array will be built and no data will be copied.</p>
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109 | * @param d data for new matrix
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110 | * @param copyArray if true, the input array will be copied, otherwise
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111 | * it will be referenced
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112 | * @throws IllegalArgumentException if <code>d</code> is not rectangular
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113 | * (not all rows have the same length) or empty
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114 | * @throws NullPointerException if <code>d</code> is null
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115 | * @see #RealMatrixImpl(double[][])
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116 | */
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117 | public RealMatrixImpl(final double[][] d, final boolean copyArray)
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118 | throws IllegalArgumentException, NullPointerException {
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119 | if (copyArray) {
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120 | copyIn(d);
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121 | } else {
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122 | if (d == null) {
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123 | throw new NullPointerException();
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124 | }
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125 | final int nRows = d.length;
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126 | if (nRows == 0) {
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127 | throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.AT_LEAST_ONE_ROW);
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128 | }
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129 | final int nCols = d[0].length;
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130 | if (nCols == 0) {
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131 | throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.AT_LEAST_ONE_COLUMN);
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132 | }
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133 | for (int r = 1; r < nRows; r++) {
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134 | if (d[r].length != nCols) {
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135 | throw MathRuntimeException.createIllegalArgumentException(
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136 | LocalizedFormats.DIFFERENT_ROWS_LENGTHS,
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137 | nCols, d[r].length);
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138 | }
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139 | }
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140 | data = d;
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141 | }
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142 | }
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143 |
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144 | /**
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145 | * Create a new (column) RealMatrix using <code>v</code> as the
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146 | * data for the unique column of the <code>v.length x 1</code> matrix
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147 | * created.
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148 | * <p>The input array is copied, not referenced.</p>
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149 | *
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150 | * @param v column vector holding data for new matrix
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151 | */
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152 | public RealMatrixImpl(final double[] v) {
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153 | final int nRows = v.length;
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154 | data = new double[nRows][1];
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155 | for (int row = 0; row < nRows; row++) {
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156 | data[row][0] = v[row];
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157 | }
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158 | }
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159 |
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160 | /** {@inheritDoc} */
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161 | @Override
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162 | public RealMatrix createMatrix(final int rowDimension, final int columnDimension)
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163 | throws IllegalArgumentException {
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164 | return new RealMatrixImpl(rowDimension, columnDimension);
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165 | }
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166 |
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167 | /** {@inheritDoc} */
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168 | @Override
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169 | public RealMatrix copy() {
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170 | return new RealMatrixImpl(copyOut(), false);
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171 | }
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172 |
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173 | /** {@inheritDoc} */
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174 | @Override
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175 | public RealMatrix add(final RealMatrix m)
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176 | throws IllegalArgumentException {
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177 | try {
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178 | return add((RealMatrixImpl) m);
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179 | } catch (ClassCastException cce) {
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180 | return super.add(m);
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181 | }
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182 | }
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183 |
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184 | /**
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185 | * Compute the sum of this and <code>m</code>.
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186 | *
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187 | * @param m matrix to be added
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188 | * @return this + m
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189 | * @throws IllegalArgumentException if m is not the same size as this
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190 | */
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191 | public RealMatrixImpl add(final RealMatrixImpl m)
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192 | throws IllegalArgumentException {
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193 |
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194 | // safety check
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195 | MatrixUtils.checkAdditionCompatible(this, m);
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196 |
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197 | final int rowCount = getRowDimension();
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198 | final int columnCount = getColumnDimension();
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199 | final double[][] outData = new double[rowCount][columnCount];
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200 | for (int row = 0; row < rowCount; row++) {
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201 | final double[] dataRow = data[row];
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202 | final double[] mRow = m.data[row];
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203 | final double[] outDataRow = outData[row];
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204 | for (int col = 0; col < columnCount; col++) {
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205 | outDataRow[col] = dataRow[col] + mRow[col];
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206 | }
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207 | }
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208 |
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209 | return new RealMatrixImpl(outData, false);
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210 |
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211 | }
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212 |
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213 | /** {@inheritDoc} */
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214 | @Override
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215 | public RealMatrix subtract(final RealMatrix m)
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216 | throws IllegalArgumentException {
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217 | try {
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218 | return subtract((RealMatrixImpl) m);
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219 | } catch (ClassCastException cce) {
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220 | return super.subtract(m);
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221 | }
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222 | }
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223 |
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224 | /**
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225 | * Compute this minus <code>m</code>.
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226 | *
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227 | * @param m matrix to be subtracted
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228 | * @return this + m
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229 | * @throws IllegalArgumentException if m is not the same size as this
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230 | */
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231 | public RealMatrixImpl subtract(final RealMatrixImpl m)
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232 | throws IllegalArgumentException {
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233 |
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234 | // safety check
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235 | MatrixUtils.checkSubtractionCompatible(this, m);
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236 |
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237 | final int rowCount = getRowDimension();
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238 | final int columnCount = getColumnDimension();
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239 | final double[][] outData = new double[rowCount][columnCount];
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240 | for (int row = 0; row < rowCount; row++) {
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241 | final double[] dataRow = data[row];
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242 | final double[] mRow = m.data[row];
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243 | final double[] outDataRow = outData[row];
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244 | for (int col = 0; col < columnCount; col++) {
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245 | outDataRow[col] = dataRow[col] - mRow[col];
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246 | }
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247 | }
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248 |
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249 | return new RealMatrixImpl(outData, false);
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250 |
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251 | }
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252 |
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253 | /** {@inheritDoc} */
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254 | @Override
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255 | public RealMatrix multiply(final RealMatrix m)
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256 | throws IllegalArgumentException {
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257 | try {
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258 | return multiply((RealMatrixImpl) m);
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259 | } catch (ClassCastException cce) {
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260 | return super.multiply(m);
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261 | }
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262 | }
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263 |
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264 | /**
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265 | * Returns the result of postmultiplying this by <code>m</code>.
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266 | * @param m matrix to postmultiply by
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267 | * @return this*m
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268 | * @throws IllegalArgumentException
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269 | * if columnDimension(this) != rowDimension(m)
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270 | */
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271 | public RealMatrixImpl multiply(final RealMatrixImpl m)
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272 | throws IllegalArgumentException {
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273 |
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274 | // safety check
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275 | MatrixUtils.checkMultiplicationCompatible(this, m);
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276 |
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277 | final int nRows = this.getRowDimension();
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278 | final int nCols = m.getColumnDimension();
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279 | final int nSum = this.getColumnDimension();
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280 | final double[][] outData = new double[nRows][nCols];
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281 | for (int row = 0; row < nRows; row++) {
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282 | final double[] dataRow = data[row];
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283 | final double[] outDataRow = outData[row];
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284 | for (int col = 0; col < nCols; col++) {
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285 | double sum = 0;
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286 | for (int i = 0; i < nSum; i++) {
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287 | sum += dataRow[i] * m.data[i][col];
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288 | }
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289 | outDataRow[col] = sum;
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290 | }
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291 | }
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292 |
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293 | return new RealMatrixImpl(outData, false);
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294 |
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295 | }
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296 |
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297 | /** {@inheritDoc} */
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298 | @Override
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299 | public double[][] getData() {
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300 | return copyOut();
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301 | }
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302 |
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303 | /**
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304 | * Returns a reference to the underlying data array.
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305 | * <p>
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306 | * Does <strong>not</strong> make a fresh copy of the underlying data.</p>
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307 | *
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308 | * @return 2-dimensional array of entries
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309 | */
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310 | public double[][] getDataRef() {
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311 | return data;
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312 | }
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313 |
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314 | /** {@inheritDoc} */
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315 | @Override
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316 | public void setSubMatrix(final double[][] subMatrix, final int row, final int column)
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317 | throws MatrixIndexException {
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318 | if (data == null) {
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319 | if (row > 0) {
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320 | throw MathRuntimeException.createIllegalStateException(
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321 | LocalizedFormats.FIRST_ROWS_NOT_INITIALIZED_YET,
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322 | row);
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323 | }
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324 | if (column > 0) {
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325 | throw MathRuntimeException.createIllegalStateException(
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326 | LocalizedFormats.FIRST_COLUMNS_NOT_INITIALIZED_YET,
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327 | column);
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328 | }
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329 | final int nRows = subMatrix.length;
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330 | if (nRows == 0) {
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331 | throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.AT_LEAST_ONE_ROW);
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332 | }
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333 |
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334 | final int nCols = subMatrix[0].length;
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335 | if (nCols == 0) {
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336 | throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.AT_LEAST_ONE_COLUMN);
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337 | }
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338 | data = new double[subMatrix.length][nCols];
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339 | for (int i = 0; i < data.length; ++i) {
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340 | if (subMatrix[i].length != nCols) {
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341 | throw MathRuntimeException.createIllegalArgumentException(
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342 | LocalizedFormats.DIFFERENT_ROWS_LENGTHS,
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343 | nCols, subMatrix[i].length);
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344 | }
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345 | System.arraycopy(subMatrix[i], 0, data[i + row], column, nCols);
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346 | }
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347 | } else {
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348 | super.setSubMatrix(subMatrix, row, column);
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349 | }
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350 |
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351 | }
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352 |
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353 | /** {@inheritDoc} */
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354 | @Override
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355 | public double getEntry(final int row, final int column)
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356 | throws MatrixIndexException {
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357 | try {
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358 | return data[row][column];
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359 | } catch (ArrayIndexOutOfBoundsException e) {
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360 | throw new MatrixIndexException(
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361 | LocalizedFormats.NO_SUCH_MATRIX_ENTRY,
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362 | row, column, getRowDimension(), getColumnDimension());
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363 | }
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364 | }
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365 |
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366 | /** {@inheritDoc} */
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367 | @Override
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368 | public void setEntry(final int row, final int column, final double value)
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369 | throws MatrixIndexException {
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370 | try {
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371 | data[row][column] = value;
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372 | } catch (ArrayIndexOutOfBoundsException e) {
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373 | throw new MatrixIndexException(
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374 | LocalizedFormats.NO_SUCH_MATRIX_ENTRY,
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375 | row, column, getRowDimension(), getColumnDimension());
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376 | }
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377 | }
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378 |
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379 | /** {@inheritDoc} */
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380 | @Override
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381 | public void addToEntry(final int row, final int column, final double increment)
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382 | throws MatrixIndexException {
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383 | try {
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384 | data[row][column] += increment;
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385 | } catch (ArrayIndexOutOfBoundsException e) {
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386 | throw new MatrixIndexException(
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387 | LocalizedFormats.NO_SUCH_MATRIX_ENTRY,
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388 | row, column, getRowDimension(), getColumnDimension());
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389 | }
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390 | }
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391 |
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392 | /** {@inheritDoc} */
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393 | @Override
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394 | public void multiplyEntry(final int row, final int column, final double factor)
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395 | throws MatrixIndexException {
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396 | try {
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397 | data[row][column] *= factor;
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398 | } catch (ArrayIndexOutOfBoundsException e) {
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399 | throw new MatrixIndexException(
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400 | LocalizedFormats.NO_SUCH_MATRIX_ENTRY,
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401 | row, column, getRowDimension(), getColumnDimension());
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402 | }
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403 | }
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404 |
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405 | /** {@inheritDoc} */
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406 | @Override
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407 | public int getRowDimension() {
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408 | return (data == null) ? 0 : data.length;
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409 | }
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410 |
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411 | /** {@inheritDoc} */
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412 | @Override
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413 | public int getColumnDimension() {
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414 | return ((data == null) || (data[0] == null)) ? 0 : data[0].length;
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415 | }
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416 |
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417 | /** {@inheritDoc} */
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418 | @Override
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419 | public double[] operate(final double[] v)
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420 | throws IllegalArgumentException {
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421 | final int nRows = this.getRowDimension();
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422 | final int nCols = this.getColumnDimension();
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423 | if (v.length != nCols) {
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424 | throw MathRuntimeException.createIllegalArgumentException(
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425 | LocalizedFormats.VECTOR_LENGTH_MISMATCH,
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426 | v.length, nCols);
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427 | }
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428 | final double[] out = new double[nRows];
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429 | for (int row = 0; row < nRows; row++) {
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430 | final double[] dataRow = data[row];
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431 | double sum = 0;
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432 | for (int i = 0; i < nCols; i++) {
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433 | sum += dataRow[i] * v[i];
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434 | }
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435 | out[row] = sum;
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436 | }
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437 | return out;
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438 | }
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439 |
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440 | /** {@inheritDoc} */
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441 | @Override
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442 | public double[] preMultiply(final double[] v)
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443 | throws IllegalArgumentException {
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444 |
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445 | final int nRows = getRowDimension();
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446 | final int nCols = getColumnDimension();
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447 | if (v.length != nRows) {
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448 | throw MathRuntimeException.createIllegalArgumentException(
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449 | LocalizedFormats.VECTOR_LENGTH_MISMATCH,
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450 | v.length, nRows);
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451 | }
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452 |
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453 | final double[] out = new double[nCols];
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454 | for (int col = 0; col < nCols; ++col) {
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455 | double sum = 0;
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456 | for (int i = 0; i < nRows; ++i) {
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457 | sum += data[i][col] * v[i];
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458 | }
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459 | out[col] = sum;
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460 | }
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461 |
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462 | return out;
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463 |
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464 | }
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465 |
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466 | /** {@inheritDoc} */
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467 | @Override
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468 | public double walkInRowOrder(final RealMatrixChangingVisitor visitor)
|
---|
469 | throws MatrixVisitorException {
|
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470 | final int rows = getRowDimension();
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471 | final int columns = getColumnDimension();
|
---|
472 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
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473 | for (int i = 0; i < rows; ++i) {
|
---|
474 | final double[] rowI = data[i];
|
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475 | for (int j = 0; j < columns; ++j) {
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---|
476 | rowI[j] = visitor.visit(i, j, rowI[j]);
|
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477 | }
|
---|
478 | }
|
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479 | return visitor.end();
|
---|
480 | }
|
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481 |
|
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482 | /** {@inheritDoc} */
|
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483 | @Override
|
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484 | public double walkInRowOrder(final RealMatrixPreservingVisitor visitor)
|
---|
485 | throws MatrixVisitorException {
|
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486 | final int rows = getRowDimension();
|
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487 | final int columns = getColumnDimension();
|
---|
488 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
489 | for (int i = 0; i < rows; ++i) {
|
---|
490 | final double[] rowI = data[i];
|
---|
491 | for (int j = 0; j < columns; ++j) {
|
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492 | visitor.visit(i, j, rowI[j]);
|
---|
493 | }
|
---|
494 | }
|
---|
495 | return visitor.end();
|
---|
496 | }
|
---|
497 |
|
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498 | /** {@inheritDoc} */
|
---|
499 | @Override
|
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500 | public double walkInRowOrder(final RealMatrixChangingVisitor visitor,
|
---|
501 | final int startRow, final int endRow,
|
---|
502 | final int startColumn, final int endColumn)
|
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503 | throws MatrixIndexException, MatrixVisitorException {
|
---|
504 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
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505 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
506 | startRow, endRow, startColumn, endColumn);
|
---|
507 | for (int i = startRow; i <= endRow; ++i) {
|
---|
508 | final double[] rowI = data[i];
|
---|
509 | for (int j = startColumn; j <= endColumn; ++j) {
|
---|
510 | rowI[j] = visitor.visit(i, j, rowI[j]);
|
---|
511 | }
|
---|
512 | }
|
---|
513 | return visitor.end();
|
---|
514 | }
|
---|
515 |
|
---|
516 | /** {@inheritDoc} */
|
---|
517 | @Override
|
---|
518 | public double walkInRowOrder(final RealMatrixPreservingVisitor visitor,
|
---|
519 | final int startRow, final int endRow,
|
---|
520 | final int startColumn, final int endColumn)
|
---|
521 | throws MatrixIndexException, MatrixVisitorException {
|
---|
522 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
523 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
524 | startRow, endRow, startColumn, endColumn);
|
---|
525 | for (int i = startRow; i <= endRow; ++i) {
|
---|
526 | final double[] rowI = data[i];
|
---|
527 | for (int j = startColumn; j <= endColumn; ++j) {
|
---|
528 | visitor.visit(i, j, rowI[j]);
|
---|
529 | }
|
---|
530 | }
|
---|
531 | return visitor.end();
|
---|
532 | }
|
---|
533 |
|
---|
534 | /** {@inheritDoc} */
|
---|
535 | @Override
|
---|
536 | public double walkInColumnOrder(final RealMatrixChangingVisitor visitor)
|
---|
537 | throws MatrixVisitorException {
|
---|
538 | final int rows = getRowDimension();
|
---|
539 | final int columns = getColumnDimension();
|
---|
540 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
541 | for (int j = 0; j < columns; ++j) {
|
---|
542 | for (int i = 0; i < rows; ++i) {
|
---|
543 | final double[] rowI = data[i];
|
---|
544 | rowI[j] = visitor.visit(i, j, rowI[j]);
|
---|
545 | }
|
---|
546 | }
|
---|
547 | return visitor.end();
|
---|
548 | }
|
---|
549 |
|
---|
550 | /** {@inheritDoc} */
|
---|
551 | @Override
|
---|
552 | public double walkInColumnOrder(final RealMatrixPreservingVisitor visitor)
|
---|
553 | throws MatrixVisitorException {
|
---|
554 | final int rows = getRowDimension();
|
---|
555 | final int columns = getColumnDimension();
|
---|
556 | visitor.start(rows, columns, 0, rows - 1, 0, columns - 1);
|
---|
557 | for (int j = 0; j < columns; ++j) {
|
---|
558 | for (int i = 0; i < rows; ++i) {
|
---|
559 | visitor.visit(i, j, data[i][j]);
|
---|
560 | }
|
---|
561 | }
|
---|
562 | return visitor.end();
|
---|
563 | }
|
---|
564 |
|
---|
565 | /** {@inheritDoc} */
|
---|
566 | @Override
|
---|
567 | public double walkInColumnOrder(final RealMatrixChangingVisitor visitor,
|
---|
568 | final int startRow, final int endRow,
|
---|
569 | final int startColumn, final int endColumn)
|
---|
570 | throws MatrixIndexException, MatrixVisitorException {
|
---|
571 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
572 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
573 | startRow, endRow, startColumn, endColumn);
|
---|
574 | for (int j = startColumn; j <= endColumn; ++j) {
|
---|
575 | for (int i = startRow; i <= endRow; ++i) {
|
---|
576 | final double[] rowI = data[i];
|
---|
577 | rowI[j] = visitor.visit(i, j, rowI[j]);
|
---|
578 | }
|
---|
579 | }
|
---|
580 | return visitor.end();
|
---|
581 | }
|
---|
582 |
|
---|
583 | /** {@inheritDoc} */
|
---|
584 | @Override
|
---|
585 | public double walkInColumnOrder(final RealMatrixPreservingVisitor visitor,
|
---|
586 | final int startRow, final int endRow,
|
---|
587 | final int startColumn, final int endColumn)
|
---|
588 | throws MatrixIndexException, MatrixVisitorException {
|
---|
589 | MatrixUtils.checkSubMatrixIndex(this, startRow, endRow, startColumn, endColumn);
|
---|
590 | visitor.start(getRowDimension(), getColumnDimension(),
|
---|
591 | startRow, endRow, startColumn, endColumn);
|
---|
592 | for (int j = startColumn; j <= endColumn; ++j) {
|
---|
593 | for (int i = startRow; i <= endRow; ++i) {
|
---|
594 | visitor.visit(i, j, data[i][j]);
|
---|
595 | }
|
---|
596 | }
|
---|
597 | return visitor.end();
|
---|
598 | }
|
---|
599 |
|
---|
600 | /**
|
---|
601 | * Returns a fresh copy of the underlying data array.
|
---|
602 | *
|
---|
603 | * @return a copy of the underlying data array.
|
---|
604 | */
|
---|
605 | private double[][] copyOut() {
|
---|
606 | final int nRows = this.getRowDimension();
|
---|
607 | final double[][] out = new double[nRows][this.getColumnDimension()];
|
---|
608 | // can't copy 2-d array in one shot, otherwise get row references
|
---|
609 | for (int i = 0; i < nRows; i++) {
|
---|
610 | System.arraycopy(data[i], 0, out[i], 0, data[i].length);
|
---|
611 | }
|
---|
612 | return out;
|
---|
613 | }
|
---|
614 |
|
---|
615 | /**
|
---|
616 | * Replaces data with a fresh copy of the input array.
|
---|
617 | * <p>
|
---|
618 | * Verifies that the input array is rectangular and non-empty.</p>
|
---|
619 | *
|
---|
620 | * @param in data to copy in
|
---|
621 | * @throws IllegalArgumentException if input array is empty or not
|
---|
622 | * rectangular
|
---|
623 | * @throws NullPointerException if input array is null
|
---|
624 | */
|
---|
625 | private void copyIn(final double[][] in) {
|
---|
626 | setSubMatrix(in, 0, 0);
|
---|
627 | }
|
---|
628 |
|
---|
629 | }
|
---|