1 | // Copyright (C) 2004, International Business Machines |
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2 | // Corporation and others. All Rights Reserved. |
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3 | |
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4 | #include "CbcModel.hpp" |
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5 | #include "CbcNode.hpp" |
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6 | #include "CbcTree.hpp" |
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7 | #include "CbcCountRowCut.hpp" |
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8 | #include "CbcCompareActual.hpp" |
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9 | |
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10 | CbcTree::CbcTree() |
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11 | { |
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12 | } |
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13 | CbcTree::~CbcTree() |
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14 | { |
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15 | } |
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16 | // Copy constructor |
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17 | CbcTree::CbcTree ( const CbcTree & rhs) |
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18 | { |
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19 | nodes_=rhs.nodes_; |
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20 | } |
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21 | // Assignment operator |
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22 | CbcTree & |
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23 | CbcTree::operator=(const CbcTree & rhs) |
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24 | { |
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25 | if (this != &rhs) { |
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26 | nodes_=rhs.nodes_; |
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27 | } |
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28 | return *this; |
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29 | } |
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30 | // Clone |
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31 | CbcTree * |
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32 | CbcTree::clone() const |
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33 | { |
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34 | return new CbcTree(*this); |
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35 | } |
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36 | //#define CBC_DEBUG_HEAP |
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37 | #ifndef CBC_DUBIOUS_HEAP |
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38 | // Set comparison function and resort heap |
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39 | void |
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40 | CbcTree::setComparison(CbcCompareBase &compare) |
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41 | { |
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42 | comparison_.test_ = &compare; |
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43 | std::make_heap(nodes_.begin(), nodes_.end(), comparison_); |
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44 | } |
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45 | |
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46 | // Return the top node of the heap |
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47 | CbcNode * |
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48 | CbcTree::top() const |
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49 | { |
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50 | return nodes_.front(); |
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51 | } |
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52 | |
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53 | // Add a node to the heap |
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54 | void |
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55 | CbcTree::push(CbcNode * x) { |
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56 | /*printf("push obj %g, refcount %d, left %d, pointing to %d\n", |
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57 | x->objectiveValue(),x->nodeInfo()->decrement(0), |
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58 | x->nodeInfo()->numberBranchesLeft(),x->nodeInfo()->numberPointingToThis());*/ |
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59 | assert(x->objectiveValue()!=COIN_DBL_MAX&&x->nodeInfo()); |
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60 | nodes_.push_back(x); |
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61 | std::push_heap(nodes_.begin(), nodes_.end(), comparison_); |
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62 | } |
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63 | |
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64 | // Remove the top node from the heap |
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65 | void |
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66 | CbcTree::pop() { |
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67 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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68 | nodes_.pop_back(); |
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69 | } |
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70 | |
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71 | // Test if empty *** note may be overridden |
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72 | bool |
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73 | CbcTree::empty() |
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74 | { |
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75 | return nodes_.empty(); |
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76 | } |
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77 | // Gets best node and takes off heap |
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78 | CbcNode * |
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79 | CbcTree::bestNode(double cutoff) |
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80 | { |
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81 | CbcNode * best = NULL; |
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82 | while (!best&&nodes_.size()) { |
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83 | best = nodes_.front(); |
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84 | if (best) |
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85 | assert(best->objectiveValue()!=COIN_DBL_MAX&&best->nodeInfo()); |
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86 | if (best&&best->objectiveValue()!=COIN_DBL_MAX&&best->nodeInfo()) |
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87 | assert (best->nodeInfo()->numberBranchesLeft()); |
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88 | if (!best||best->objectiveValue()>=cutoff) { |
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89 | #if 0 |
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90 | // take off |
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91 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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92 | nodes_.pop_back(); |
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93 | delete best; |
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94 | best=NULL; |
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95 | #else |
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96 | // let code get rid of it |
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97 | assert (best); |
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98 | #endif |
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99 | } |
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100 | } |
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101 | // switched off for now |
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102 | if (best&&comparison_.test_->fullScan()&&false) { |
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103 | CbcNode * saveBest=best; |
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104 | int n=nodes_.size(); |
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105 | int iBest=-1; |
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106 | for (int i=0;i<n;i++) { |
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107 | // temp |
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108 | assert (nodes_[i]); |
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109 | assert (nodes_[i]->nodeInfo()); |
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110 | if (nodes_[i]&&nodes_[i]->objectiveValue()!=COIN_DBL_MAX&&nodes_[i]->nodeInfo()) |
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111 | assert (nodes_[i]->nodeInfo()->numberBranchesLeft()); |
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112 | if (nodes_[i]&&nodes_[i]->objectiveValue()<cutoff |
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113 | &&comparison_.alternateTest(best,nodes_[i])) { |
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114 | best=nodes_[i]; |
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115 | iBest=i; |
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116 | } |
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117 | } |
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118 | if (best==saveBest) { |
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119 | // can pop |
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120 | // take off |
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121 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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122 | nodes_.pop_back(); |
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123 | } else { |
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124 | // make impossible |
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125 | nodes_[iBest]=NULL; |
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126 | } |
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127 | } else if (best) { |
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128 | // take off |
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129 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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130 | nodes_.pop_back(); |
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131 | } |
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132 | #ifdef DEBUG_CBC_HEAP |
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133 | if (best) { |
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134 | int n=nodes_.size(); |
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135 | bool good=true; |
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136 | for (int i=0;i<n;i++) { |
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137 | // temp |
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138 | assert (nodes_[i]); |
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139 | if (!comparison_.compareNodes(nodes_[i],best)) { |
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140 | good=false; |
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141 | CbcNode * x = nodes_[i]; |
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142 | printf("i=%d x is better nun %d depth %d obj %g, best nun %d depth %d obj %g\n",i, |
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143 | x->numberUnsatisfied(),x->depth(),x->objectiveValue(), |
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144 | best->numberUnsatisfied(),best->depth(),best->objectiveValue()); |
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145 | } |
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146 | } |
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147 | if (!good) { |
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148 | // compare best to all |
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149 | int i; |
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150 | for (i=0;i<n;i++) { |
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151 | CbcNode * x = nodes_[i]; |
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152 | printf("i=%d x is nun %d depth %d obj %g",i, |
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153 | x->numberUnsatisfied(),x->depth(),x->objectiveValue()); |
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154 | if (!comparison_.compareNodes(x,best)) { |
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155 | printf(" - best is worse!\n"); |
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156 | } else { |
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157 | printf("\n"); |
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158 | } |
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159 | } |
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160 | // Now compare amongst rest |
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161 | for (i=0;i<n;i++) { |
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162 | CbcNode * x = nodes_[i]; |
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163 | printf("For i=%d ",i); |
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164 | for (int j=i+1;j<n;j++) { |
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165 | CbcNode * y = nodes_[j]; |
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166 | if (!comparison_.compareNodes(x,y)) { |
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167 | printf(" b %d",j); |
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168 | } else { |
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169 | printf(" w %d",j); |
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170 | } |
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171 | } |
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172 | printf("\n"); |
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173 | } |
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174 | assert(good); |
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175 | } |
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176 | } |
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177 | #endif |
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178 | return best; |
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179 | } |
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180 | |
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181 | double |
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182 | CbcTree::getBestPossibleObjective(){ |
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183 | double r_val = 1e100; |
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184 | for(int i = 0 ; i < nodes_.size() ; i++){ |
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185 | if(nodes_[i] && nodes_[i]->objectiveValue() < r_val){ |
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186 | r_val = nodes_[i]->objectiveValue(); |
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187 | } |
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188 | } |
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189 | return r_val; |
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190 | } |
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191 | /*! \brief Prune the tree using an objective function cutoff |
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192 | |
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193 | This routine removes all nodes with objective worst than the |
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194 | specified cutoff value. |
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195 | */ |
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196 | |
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197 | void |
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198 | CbcTree::cleanTree(CbcModel * model, double cutoff, double & bestPossibleObjective) |
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199 | { |
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200 | int j; |
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201 | int nNodes = size(); |
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202 | CbcNode ** nodeArray = new CbcNode * [nNodes]; |
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203 | int * depth = new int [nNodes]; |
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204 | int k=0; |
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205 | int kDelete=nNodes; |
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206 | bestPossibleObjective = 1.0e100 ; |
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207 | /* |
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208 | Destructively scan the heap. Nodes to be retained go into the front of |
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209 | nodeArray, nodes to be deleted into the back. Store the depth in a |
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210 | correlated array for nodes to be deleted. |
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211 | */ |
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212 | for (j=0;j<nNodes;j++) { |
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213 | CbcNode * node = top(); |
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214 | pop(); |
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215 | double value = node ? node->objectiveValue() : COIN_DBL_MAX; |
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216 | bestPossibleObjective = CoinMin(bestPossibleObjective,value); |
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217 | if (value >= cutoff) { |
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218 | if (node) { |
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219 | nodeArray[--kDelete] = node; |
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220 | depth[kDelete] = node->depth(); |
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221 | } |
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222 | } else { |
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223 | nodeArray[k++]=node; |
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224 | } |
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225 | } |
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226 | /* |
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227 | Rebuild the heap using the retained nodes. |
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228 | */ |
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229 | for (j=0;j<k;j++) { push(nodeArray[j]); } |
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230 | /* |
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231 | Sort the list of nodes to be deleted, nondecreasing. |
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232 | */ |
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233 | CoinSort_2(depth+kDelete,depth+nNodes,nodeArray+kDelete); |
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234 | /* |
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235 | Work back from deepest to shallowest. In spite of the name, addCuts1 is |
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236 | just a preparatory step. When it returns, the following will be true: |
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237 | * all cuts are removed from the solver's copy of the constraint system; |
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238 | * lastws will be a basis appropriate for the specified node; |
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239 | * variable bounds will be adjusted to be appropriate for the specified |
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240 | node; |
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241 | * addedCuts_ (returned via addedCuts()) will contain a list of cuts that |
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242 | should be added to the constraint system at this node (but they have |
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243 | not actually been added). |
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244 | Then we scan the cut list for the node. Decrement the reference count |
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245 | for the cut, and if it's gone to 0, really delete it. |
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246 | |
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247 | I don't yet see why the checks for status != basic and addedCuts_[i] != 0 |
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248 | are necessary. When reconstructing a node, these checks are used to skip |
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249 | over loose cuts, excluding them from the reconstituted basis. But here |
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250 | we're just interested in correcting the reference count. Tight/loose should |
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251 | make no difference. |
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252 | |
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253 | Arguably a separate routine should be used in place of addCuts1. It's doing |
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254 | more work than needed, modifying the model to match a subproblem at a node |
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255 | that will be discarded. Then again, we seem to need the basis. |
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256 | */ |
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257 | for (j=nNodes-1;j >= kDelete;j--) { |
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258 | CbcNode * node = nodeArray[j]; |
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259 | CoinWarmStartBasis *lastws = model->getEmptyBasis() ; |
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260 | |
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261 | model->addCuts1(node,lastws); |
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262 | // Decrement cut counts |
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263 | assert (node); |
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264 | //assert (node->nodeInfo()); |
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265 | int numberLeft = (node->nodeInfo()) ? node->nodeInfo()->numberBranchesLeft() : 0; |
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266 | int i; |
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267 | for (i=0;i<model->currentNumberCuts();i++) { |
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268 | // take off node |
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269 | CoinWarmStartBasis::Status status = |
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270 | lastws->getArtifStatus(i+model->numberRowsAtContinuous()); |
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271 | if (status != CoinWarmStartBasis::basic&& |
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272 | model->addedCuts()[i]) { |
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273 | if (!model->addedCuts()[i]->decrement(numberLeft)) |
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274 | delete model->addedCuts()[i]; |
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275 | } |
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276 | } |
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277 | // node should not have anything pointing to it |
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278 | if (node->nodeInfo()) |
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279 | node->nodeInfo()->throwAway(); |
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280 | delete node ; |
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281 | delete lastws ; |
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282 | } |
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283 | delete [] nodeArray; |
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284 | delete [] depth; |
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285 | } |
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286 | |
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287 | // Return the best node of the heap using alternate criterion |
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288 | CbcNode * |
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289 | CbcTree::bestAlternate() { |
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290 | int n=nodes_.size(); |
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291 | CbcNode * best=NULL; |
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292 | if (n) { |
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293 | best = nodes_[0]; |
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294 | for (int i=1;i<n;i++) { |
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295 | if (comparison_.alternateTest(best,nodes_[i])) { |
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296 | best=nodes_[i]; |
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297 | } |
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298 | } |
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299 | } |
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300 | return best; |
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301 | } |
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302 | #else |
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303 | // Set comparison function and resort heap |
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304 | void |
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305 | CbcTree::setComparison(CbcCompareBase &compare) |
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306 | { |
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307 | comparison_.test_ = &compare; |
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308 | std::vector <CbcNode *> newNodes=nodes_; |
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309 | nodes_.resize(0); |
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310 | while (newNodes.size()>0) { |
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311 | push( newNodes.back()); |
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312 | newNodes.pop_back(); |
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313 | } |
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314 | } |
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315 | |
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316 | // Return the top node of the heap |
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317 | CbcNode * |
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318 | CbcTree::top() const |
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319 | { |
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320 | return nodes_.front(); |
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321 | } |
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322 | |
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323 | // Add a node to the heap |
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324 | void |
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325 | CbcTree::push(CbcNode * x) { |
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326 | /*printf("push obj %g, refcount %d, left %d, pointing to %d\n", |
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327 | x->objectiveValue(),x->nodeInfo()->decrement(0), |
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328 | x->nodeInfo()->numberBranchesLeft(),x->nodeInfo()->numberPointingToThis());*/ |
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329 | assert(x->objectiveValue()!=COIN_DBL_MAX&&x->nodeInfo()); |
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330 | #if 0 |
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331 | nodes_.push_back(x); |
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332 | push_heap(nodes_.begin(), nodes_.end(), comparison_); |
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333 | #else |
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334 | realpush(x); |
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335 | #endif |
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336 | } |
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337 | |
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338 | // Remove the top node from the heap |
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339 | void |
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340 | CbcTree::pop() { |
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341 | #if 0 |
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342 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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343 | nodes_.pop_back(); |
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344 | #else |
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345 | if (nodes_.size()) { |
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346 | //CbcNode* s = nodes_.front(); |
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347 | realpop(); |
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348 | //delete s; |
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349 | } |
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350 | assert (nodes_.size()>=0); |
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351 | #endif |
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352 | } |
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353 | |
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354 | // Test if empty *** note may be overridden |
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355 | bool |
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356 | CbcTree::empty() |
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357 | { |
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358 | return nodes_.empty(); |
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359 | } |
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360 | // Gets best node and takes off heap |
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361 | CbcNode * |
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362 | CbcTree::bestNode(double cutoff) |
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363 | { |
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364 | CbcNode * best = NULL; |
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365 | while (!best&&nodes_.size()) { |
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366 | best = nodes_.front(); |
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367 | if (best) |
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368 | assert(best->objectiveValue()!=COIN_DBL_MAX&&best->nodeInfo()); |
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369 | if (best&&best->objectiveValue()!=COIN_DBL_MAX&&best->nodeInfo()) |
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370 | assert (best->nodeInfo()->numberBranchesLeft()); |
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371 | if (!best||best->objectiveValue()>=cutoff) { |
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372 | #if 0 |
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373 | // take off |
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374 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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375 | nodes_.pop_back(); |
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376 | delete best; |
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377 | best=NULL; |
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378 | #else |
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379 | // let code get rid of it |
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380 | assert (best); |
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381 | #endif |
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382 | } |
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383 | } |
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384 | // switched off for now |
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385 | if (best&&comparison_.test_->fullScan()&&false) { |
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386 | CbcNode * saveBest=best; |
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387 | int n=nodes_.size(); |
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388 | int iBest=-1; |
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389 | for (int i=0;i<n;i++) { |
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390 | // temp |
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391 | assert (nodes_[i]); |
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392 | assert (nodes_[i]->nodeInfo()); |
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393 | if (nodes_[i]&&nodes_[i]->objectiveValue()!=COIN_DBL_MAX&&nodes_[i]->nodeInfo()) |
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394 | assert (nodes_[i]->nodeInfo()->numberBranchesLeft()); |
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395 | if (nodes_[i]&&nodes_[i]->objectiveValue()<cutoff |
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396 | &&comparison_.alternateTest(best,nodes_[i])) { |
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397 | best=nodes_[i]; |
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398 | iBest=i; |
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399 | } |
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400 | } |
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401 | if (best==saveBest) { |
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402 | // can pop |
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403 | // take off |
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404 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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405 | nodes_.pop_back(); |
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406 | } else { |
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407 | // make impossible |
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408 | nodes_[iBest]=NULL; |
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409 | } |
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410 | } else if (best) { |
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411 | // take off |
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412 | #if 0 |
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413 | std::pop_heap(nodes_.begin(), nodes_.end(), comparison_); |
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414 | nodes_.pop_back(); |
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415 | #else |
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416 | realpop(); |
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417 | #endif |
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418 | } |
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419 | #ifdef DEBUG_CBC_HEAP |
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420 | if (best) { |
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421 | int n=nodes_.size(); |
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422 | bool good=true; |
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423 | for (int i=0;i<n;i++) { |
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424 | // temp |
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425 | assert (nodes_[i]); |
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426 | if (!comparison_.compareNodes(nodes_[i],best)) { |
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427 | good=false; |
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428 | CbcNode * x = nodes_[i]; |
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429 | printf("i=%d x is better nun %d depth %d obj %g, best nun %d depth %d obj %g\n",i, |
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430 | x->numberUnsatisfied(),x->depth(),x->objectiveValue(), |
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431 | best->numberUnsatisfied(),best->depth(),best->objectiveValue()); |
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432 | } |
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433 | } |
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434 | if (!good) { |
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435 | // compare best to all |
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436 | int i; |
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437 | for (i=0;i<n;i++) { |
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438 | CbcNode * x = nodes_[i]; |
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439 | printf("i=%d x is nun %d depth %d obj %g",i, |
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440 | x->numberUnsatisfied(),x->depth(),x->objectiveValue()); |
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441 | if (!comparison_.compareNodes(x,best)) { |
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442 | printf(" - best is worse!\n"); |
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443 | } else { |
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444 | printf("\n"); |
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445 | } |
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446 | } |
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447 | // Now compare amongst rest |
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448 | for (i=0;i<n;i++) { |
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449 | CbcNode * x = nodes_[i]; |
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450 | printf("For i=%d ",i); |
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451 | for (int j=i+1;j<n;j++) { |
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452 | CbcNode * y = nodes_[j]; |
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453 | if (!comparison_.compareNodes(x,y)) { |
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454 | printf(" b %d",j); |
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455 | } else { |
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456 | printf(" w %d",j); |
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457 | } |
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458 | } |
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459 | printf("\n"); |
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460 | } |
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461 | assert(good); |
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462 | } |
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463 | } |
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464 | #endif |
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465 | return best; |
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466 | } |
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467 | |
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468 | /*! \brief Prune the tree using an objective function cutoff |
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469 | |
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470 | This routine removes all nodes with objective worst than the |
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471 | specified cutoff value. |
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472 | */ |
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473 | |
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474 | void |
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475 | CbcTree::cleanTree(CbcModel * model, double cutoff, double & bestPossibleObjective) |
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476 | { |
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477 | int j; |
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478 | int nNodes = nodes_.size(); |
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479 | CbcNode ** nodeArray = new CbcNode * [nNodes]; |
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480 | int * depth = new int [nNodes]; |
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481 | int k=0; |
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482 | int kDelete=nNodes; |
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483 | bestPossibleObjective = 1.0e100 ; |
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484 | /* |
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485 | Destructively scan the heap. Nodes to be retained go into the front of |
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486 | nodeArray, nodes to be deleted into the back. Store the depth in a |
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487 | correlated array for nodes to be deleted. |
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488 | */ |
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489 | for (j=0;j<nNodes;j++) { |
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490 | CbcNode * node = top(); |
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491 | pop(); |
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492 | double value = node ? node->objectiveValue() : COIN_DBL_MAX; |
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493 | bestPossibleObjective = CoinMin(bestPossibleObjective,value); |
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494 | if (value >= cutoff) { |
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495 | if (node) { |
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496 | nodeArray[--kDelete] = node; |
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497 | depth[kDelete] = node->depth(); |
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498 | } |
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499 | } else { |
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500 | nodeArray[k++]=node; |
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501 | } |
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502 | } |
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503 | /* |
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504 | Rebuild the heap using the retained nodes. |
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505 | */ |
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506 | for (j=0;j<k;j++) { push(nodeArray[j]); } |
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507 | /* |
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508 | Sort the list of nodes to be deleted, nondecreasing. |
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509 | */ |
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510 | CoinSort_2(depth+kDelete,depth+nNodes,nodeArray+kDelete); |
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511 | /* |
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512 | Work back from deepest to shallowest. In spite of the name, addCuts1 is |
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513 | just a preparatory step. When it returns, the following will be true: |
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514 | * all cuts are removed from the solver's copy of the constraint system; |
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515 | * lastws will be a basis appropriate for the specified node; |
---|
516 | * variable bounds will be adjusted to be appropriate for the specified |
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517 | node; |
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518 | * addedCuts_ (returned via addedCuts()) will contain a list of cuts that |
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519 | should be added to the constraint system at this node (but they have |
---|
520 | not actually been added). |
---|
521 | Then we scan the cut list for the node. Decrement the reference count |
---|
522 | for the cut, and if it's gone to 0, really delete it. |
---|
523 | |
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524 | I don't yet see why the checks for status != basic and addedCuts_[i] != 0 |
---|
525 | are necessary. When reconstructing a node, these checks are used to skip |
---|
526 | over loose cuts, excluding them from the reconstituted basis. But here |
---|
527 | we're just interested in correcting the reference count. Tight/loose should |
---|
528 | make no difference. |
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529 | |
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530 | Arguably a separate routine should be used in place of addCuts1. It's doing |
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531 | more work than needed, modifying the model to match a subproblem at a node |
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532 | that will be discarded. Then again, we seem to need the basis. |
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533 | */ |
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534 | for (j=nNodes-1;j >= kDelete;j--) { |
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535 | CbcNode * node = nodeArray[j]; |
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536 | CoinWarmStartBasis *lastws = model->getEmptyBasis() ; |
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537 | |
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538 | model->addCuts1(node,lastws); |
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539 | // Decrement cut counts |
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540 | assert (node); |
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541 | //assert (node->nodeInfo()); |
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542 | int numberLeft = (node->nodeInfo()) ? node->nodeInfo()->numberBranchesLeft() : 0; |
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543 | int i; |
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544 | for (i=0;i<model->currentNumberCuts();i++) { |
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545 | // take off node |
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546 | CoinWarmStartBasis::Status status = |
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547 | lastws->getArtifStatus(i+model->numberRowsAtContinuous()); |
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548 | if (status != CoinWarmStartBasis::basic&& |
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549 | model->addedCuts()[i]) { |
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550 | if (!model->addedCuts()[i]->decrement(numberLeft)) |
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551 | delete model->addedCuts()[i]; |
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552 | } |
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553 | } |
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554 | // node should not have anything pointing to it |
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555 | if (node->nodeInfo()) |
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556 | node->nodeInfo()->throwAway(); |
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557 | delete node ; |
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558 | delete lastws ; |
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559 | } |
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560 | delete [] nodeArray; |
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561 | delete [] depth; |
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562 | } |
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563 | |
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564 | // Return the best node of the heap using alternate criterion |
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565 | CbcNode * |
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566 | CbcTree::bestAlternate() { |
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567 | int n=nodes_.size(); |
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568 | CbcNode * best=NULL; |
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569 | if (n) { |
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570 | best = nodes_[0]; |
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571 | for (int i=1;i<n;i++) { |
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572 | if (comparison_.alternateTest(best,nodes_[i])) { |
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573 | best=nodes_[i]; |
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574 | } |
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575 | } |
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576 | } |
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577 | return best; |
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578 | } |
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579 | void |
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580 | CbcTree::realpop() { |
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581 | if (nodes_.size()>0) { |
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582 | nodes_[0] = nodes_.back(); |
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583 | nodes_.pop_back(); |
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584 | fixTop(); |
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585 | } |
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586 | assert (nodes_.size()>=0); |
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587 | } |
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588 | /* After changing data in the top node, fix the heap */ |
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589 | void |
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590 | CbcTree::fixTop() { |
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591 | const int size = nodes_.size(); |
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592 | if (size > 1) { |
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593 | CbcNode** candidates = &nodes_[0]; |
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594 | CbcNode* s = candidates[0]; |
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595 | --candidates; |
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596 | int pos = 1; |
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597 | int ch; |
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598 | for (ch = 2; ch < size; pos = ch, ch *= 2) { |
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599 | if (!comparison_.compareNodes(candidates[ch+1], candidates[ch])) |
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600 | ++ch; |
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601 | if (!comparison_.compareNodes(s, candidates[ch])) |
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602 | break; |
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603 | candidates[pos] = candidates[ch]; |
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604 | } |
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605 | if (ch == size) { |
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606 | if (!comparison_.compareNodes(candidates[ch], s)) { |
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607 | candidates[pos] = candidates[ch]; |
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608 | pos = ch; |
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609 | } |
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610 | } |
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611 | candidates[pos] = s; |
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612 | } |
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613 | } |
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614 | void |
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615 | CbcTree::realpush(CbcNode * node) { |
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616 | nodes_.push_back(node); |
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617 | CbcNode** candidates = &nodes_[0]; |
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618 | --candidates; |
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619 | int pos = nodes_.size(); |
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620 | int ch; |
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621 | for (ch = pos/2; ch != 0; pos = ch, ch /= 2) { |
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622 | if (!comparison_.compareNodes(candidates[ch], node)) |
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623 | break; |
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624 | candidates[pos] = candidates[ch]; |
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625 | } |
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626 | candidates[pos] = node; |
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627 | } |
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628 | #endif |
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