1 | #include "robustlib.h" |
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2 | |
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3 | |
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4 | void polyhedron::triangulate(bool should_integrate) |
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5 | { |
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6 | if(should_integrate) |
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7 | { |
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8 | ((toprow *)this)->probability = 0.0; |
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9 | } |
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10 | |
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11 | for(list<polyhedron*>::iterator child_ref = children.begin();child_ref!=children.end();child_ref++) |
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12 | { |
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13 | for(list<set<vertex*>>::iterator t_ref = (*child_ref)->triangulation.begin();t_ref!=(*child_ref)->triangulation.end();t_ref++) |
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14 | { |
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15 | set<vertex*> new_simplex; |
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16 | new_simplex.insert((*t_ref).begin(),(*t_ref).end()); |
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17 | |
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18 | pair<set<vertex*>::iterator,bool> ret_val = new_simplex.insert(*vertices.begin()); |
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19 | |
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20 | if(ret_val.second == true) |
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21 | { |
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22 | triangulation.push_back(new_simplex); |
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23 | |
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24 | if(should_integrate) |
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25 | { |
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26 | ((toprow *)this)->probability += ((toprow *)this)->integrate_simplex(new_simplex, 'S'); |
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27 | } |
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28 | } |
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29 | } |
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30 | } |
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31 | } |
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32 | |
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33 | |
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34 | double toprow::integrate_simplex(set<vertex*> simplex, char c) |
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35 | { |
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36 | // cout << ((toprow*)this)->condition << endl; |
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37 | |
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38 | int condition_order = ((toprow*)this)->condition_order-2; // -2 by bylo, pokud chceme uniformni apriorno |
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39 | |
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40 | int sigma_order = condition_order-my_emlig->number_of_parameters; |
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41 | |
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42 | // cout << "C:" << condition_order << " N:" << my_emlig->number_of_parameters << " C+N:" << condition_order-my_emlig->number_of_parameters << endl; |
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43 | // pause(0.1); |
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44 | |
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45 | if(sigma_order >= 0) |
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46 | { |
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47 | |
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48 | //cout << endl; |
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49 | //cout << ((toprow*)this)->condition << endl; |
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50 | //cout << "C:" << condition_order+2 << " N:" << my_emlig->number_of_parameters << " C+N:" << condition_order-my_emlig->number_of_parameters+2 << endl; |
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51 | |
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52 | |
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53 | emlig* current_emlig; |
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54 | |
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55 | if(this->my_emlig!=NULL) |
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56 | { |
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57 | current_emlig = this->my_emlig; |
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58 | } |
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59 | else |
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60 | { |
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61 | throw exception("The statistic of the polyhedron you are trying to integrate over doesn't belong to any emlig!"); |
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62 | } |
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63 | |
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64 | toprow* as_toprow = (toprow*)this; |
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65 | |
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66 | vec cur_condition = as_toprow->condition.get(1,as_toprow->condition.size()-1); |
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67 | |
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68 | // cout << as_toprow->condition << endl; |
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69 | |
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70 | int dimension = simplex.size()-1; |
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71 | |
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72 | mat jacobian(dimension,dimension); |
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73 | |
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74 | double a_0; |
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75 | map<double,int> as; |
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76 | vertex* base_vertex; |
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77 | set<vertex*>::iterator base_ref = simplex.begin(); |
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78 | bool order_correct; |
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79 | |
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80 | |
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81 | do |
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82 | { |
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83 | order_correct = true; |
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84 | as.clear(); |
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85 | |
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86 | base_vertex = (*base_ref); |
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87 | |
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88 | |
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89 | //cout << endl << "Base coords:" << base_vertex->get_coordinates() << endl; |
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90 | |
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91 | a_0 = base_vertex->get_coordinates()*cur_condition-as_toprow->condition[0]; |
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92 | |
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93 | |
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94 | int row_count = 0; |
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95 | for(set<vertex*>::iterator vert_ref = simplex.begin(); vert_ref!=simplex.end();vert_ref++) |
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96 | { |
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97 | if(vert_ref != base_ref) |
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98 | { |
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99 | vec relative_coords = (*vert_ref)->get_coordinates()-base_vertex->get_coordinates(); |
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100 | |
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101 | jacobian.set_row(row_count,relative_coords); |
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102 | |
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103 | double new_a = -relative_coords*cur_condition; |
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104 | |
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105 | if(new_a + a_0 == 0 || new_a == 0) |
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106 | { |
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107 | base_ref++; |
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108 | |
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109 | if(base_ref == simplex.end()) |
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110 | { |
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111 | throw new exception("Equal local conditions are paired. If this ever occurs, the software has to be modified to include multiplied a_0!!"); |
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112 | } |
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113 | |
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114 | order_correct = false; |
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115 | |
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116 | break; |
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117 | } |
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118 | |
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119 | |
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120 | |
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121 | if(a_0<current_emlig->likelihood_value) |
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122 | { |
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123 | current_emlig->minimal_vertex = base_vertex; |
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124 | current_emlig->likelihood_value = a_0; |
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125 | } |
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126 | |
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127 | double a_m = (*vert_ref)->get_coordinates()*cur_condition-as_toprow->condition[0]; |
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128 | if(a_m<current_emlig->likelihood_value) |
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129 | { |
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130 | current_emlig->minimal_vertex = (*vert_ref); |
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131 | current_emlig->likelihood_value = a_m; |
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132 | } |
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133 | |
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134 | //cout << "a0:" << a_0 << " a0 coords:" << base_vertex->get_coordinates() << " am:" << a_m << " am coords:" << (*vert_ref)->get_coordinates() << endl; |
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135 | |
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136 | //cout << "Absolute coords:(V" << row_count << ")" << (*vert_ref)->get_coordinates() << endl; |
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137 | //cout << "Relative coords:(V" << row_count << ")" << relative_coords << endl; |
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138 | |
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139 | pair<map<double,int>::iterator,bool> returned = as.insert(pair<double,int>(new_a,1)); |
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140 | if(returned.second == false) |
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141 | { |
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142 | (*returned.first).second++; |
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143 | } |
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144 | /* |
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145 | else |
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146 | { |
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147 | cout << "a[" << row_count << "] = " << new_a << endl; |
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148 | } |
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149 | */ |
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150 | |
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151 | //as.ins(as.size(),new_a); |
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152 | |
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153 | row_count++; |
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154 | } |
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155 | } |
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156 | } |
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157 | while(!order_correct); |
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158 | |
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159 | /* |
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160 | cout << "a_0: " << a_0 << " "; |
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161 | int as_count = 1; |
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162 | for(map<double,int>::iterator as_ref = as.begin();as_ref!=as.end();as_ref++) |
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163 | { |
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164 | cout << "a_" << as_count << ": " << (*as_ref).first << " "; |
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165 | as_count++; |
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166 | }*/ |
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167 | |
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168 | double int_value = 0; |
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169 | |
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170 | // cout << jacobian << endl; |
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171 | |
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172 | double det_jacobian = abs(det(jacobian)); |
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173 | double correction_term = det_jacobian; |
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174 | for(map<double,int>::iterator as_ref = as.begin();as_ref!=as.end();as_ref++) |
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175 | { |
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176 | double multiplier = det_jacobian; |
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177 | |
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178 | int as1_order = (*as_ref).second; |
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179 | |
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180 | correction_term /= pow(-(*as_ref).first,as1_order); |
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181 | |
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182 | current_emlig->set_correction_factors(as1_order); |
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183 | |
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184 | vector<double> factors; |
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185 | int number_of_factors = 0; |
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186 | for(map<double,int>::iterator as2_ref = as.begin();as2_ref!=as.end();as2_ref++) |
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187 | { |
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188 | |
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189 | if(as2_ref!=as_ref) |
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190 | { |
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191 | for(int k = 0;k<(*as2_ref).second;k++) |
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192 | { |
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193 | factors.push_back((*as_ref).first-(*as2_ref).first); |
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194 | } |
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195 | |
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196 | multiplier /= pow((*as_ref).first-(*as2_ref).first,(*as2_ref).second); |
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197 | number_of_factors += (*as2_ref).second; |
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198 | } |
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199 | else |
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200 | { |
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201 | factors.push_back((*as_ref).first); |
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202 | |
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203 | multiplier /= (*as_ref).first; |
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204 | number_of_factors += 1; |
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205 | } |
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206 | |
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207 | } |
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208 | |
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209 | |
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210 | |
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211 | double bracket = fact(sigma_order)/fact(as1_order-1)/pow(a_0-(*as_ref).first,sigma_order+1); |
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212 | for(int k = 0;k < as1_order-1;k++) |
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213 | { |
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214 | double bracket_factor = -pow((double)-1,k+1)*fact(sigma_order-k)/fact(as1_order-1-k)/pow(a_0-(*as_ref).first,sigma_order-k); |
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215 | |
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216 | ivec control_vec = ivec(); |
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217 | control_vec.ins(0,my_emlig->number_of_parameters-as1_order+1); |
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218 | |
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219 | |
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220 | for(multiset<my_ivec>::iterator combi_ref = this->my_emlig->correction_factors[k].begin();combi_ref!=this->my_emlig->correction_factors[k].upper_bound(my_ivec(control_vec));combi_ref++) |
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221 | { |
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222 | double bracket_combination = 1; |
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223 | for(int j = 0;j<(*combi_ref).size();j++) |
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224 | { |
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225 | //cout << "Factor vector:" << (*combi_ref) << endl; |
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226 | |
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227 | bracket_combination /= factors[(*combi_ref)[j]-1]; |
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228 | } |
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229 | |
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230 | bracket+=bracket_factor*bracket_combination; |
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231 | } |
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232 | } |
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233 | |
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234 | |
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235 | |
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236 | int_value += multiplier*bracket; |
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237 | |
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238 | } |
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239 | |
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240 | |
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241 | correction_term *= fact(sigma_order)/abs(pow(a_0,sigma_order+1)); |
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242 | |
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243 | // cout << c << int_value << endl; |
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244 | |
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245 | int_value += correction_term; |
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246 | |
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247 | |
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248 | //cout << "Probability:" << int_value << endl; |
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249 | |
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250 | return int_value; |
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251 | |
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252 | |
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253 | |
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254 | } |
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255 | else |
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256 | { |
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257 | return 0.0; |
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258 | } |
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259 | } |
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