| 1 | #include "robustlib.h" |
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| 2 | |
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| 3 | |
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| 4 | double polyhedron::triangulate(bool should_integrate) |
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| 5 | { |
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| 6 | for(set<simplex*>::iterator t_ref = triangulation.begin();t_ref!=triangulation.end();t_ref++) |
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| 7 | { |
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| 8 | delete (*t_ref); |
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| 9 | } |
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| 10 | triangulation.clear(); |
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| 11 | |
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| 12 | if(should_integrate) |
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| 13 | { |
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| 14 | ((toprow *)this)->probability = 0.0; |
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| 15 | } |
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| 16 | |
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| 17 | if(vertices.size()==1) |
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| 18 | { |
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| 19 | simplex* vert_simplex = new simplex((vertex*)this); |
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| 20 | |
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| 21 | triangulation.insert(vert_simplex); |
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| 22 | } |
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| 23 | |
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| 24 | for(list<polyhedron*>::iterator child_ref = children.begin();child_ref!=children.end();child_ref++) |
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| 25 | { |
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| 26 | for(set<simplex*>::iterator s_ref = (*child_ref)->triangulation.begin();s_ref!=(*child_ref)->triangulation.end();s_ref++) |
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| 27 | { |
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| 28 | simplex* new_simplex = new simplex((*s_ref)->vertices); |
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| 29 | |
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| 30 | pair<set<vertex*>::iterator,bool> ret_val = new_simplex->vertices.insert(*vertices.begin()); |
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| 31 | |
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| 32 | if(ret_val.second == true) |
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| 33 | { |
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| 34 | double cur_prob = 0; |
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| 35 | |
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| 36 | /* |
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| 37 | if(should_integrate&&new_simplex->vertices.size()!=3) |
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| 38 | { |
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| 39 | cout << "Error: Wrong vertex count for integration!"; |
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| 40 | } |
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| 41 | */ |
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| 42 | |
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| 43 | if(should_integrate) |
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| 44 | { |
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| 45 | cur_prob = ((toprow *)this)->integrate_simplex(new_simplex, 'S'); |
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| 46 | |
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| 47 | ((toprow *)this)->probability += cur_prob; |
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| 48 | } |
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| 49 | |
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| 50 | triangulation.insert(new_simplex); |
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| 51 | } |
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| 52 | else |
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| 53 | { |
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| 54 | delete new_simplex; |
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| 55 | } |
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| 56 | } |
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| 57 | } |
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| 58 | |
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| 59 | if(should_integrate) |
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| 60 | { |
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| 61 | return ((toprow *)this)->probability; |
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| 62 | } |
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| 63 | else |
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| 64 | { |
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| 65 | return 0.0; |
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| 66 | } |
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| 67 | |
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| 68 | /* |
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| 69 | for(list<polyhedron*>::iterator child_ref = children.begin();child_ref!=children.end();child_ref++) |
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| 70 | { |
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| 71 | for(list<set<vertex*>>::iterator t_ref = (*child_ref)->triangulation.begin();t_ref!=(*child_ref)->triangulation.end();t_ref++) |
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| 72 | { |
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| 73 | set<vertex*> new_simplex; |
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| 74 | new_simplex.insert((*t_ref).begin(),(*t_ref).end()); |
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| 75 | |
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| 76 | for(set<vertex*>::iterator suitable_vert_ref = vertices.begin();*suitable_vert_ref<*(*t_ref).begin();suitable_vert_ref++) |
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| 77 | { |
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| 78 | set<vertex*> suitable_simplex; |
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| 79 | suitable_simplex.insert(new_simplex.begin(),new_simplex.end()); |
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| 80 | |
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| 81 | suitable_simplex.insert(*suitable_vert_ref); |
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| 82 | |
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| 83 | triangulation.push_back(suitable_simplex); |
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| 84 | |
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| 85 | if(should_integrate) |
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| 86 | { |
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| 87 | ((toprow *)this)->probability += ((toprow *)this)->integrate_simplex(suitable_simplex, 'S'); |
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| 88 | } |
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| 89 | } |
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| 90 | } |
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| 91 | }*/ |
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| 92 | } |
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| 93 | |
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| 94 | |
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| 95 | double toprow::integrate_simplex(simplex* simplex, char c) |
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| 96 | { |
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| 97 | // cout << ((toprow*)this)->condition << endl; |
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| 98 | int sigma_order = ((toprow*)this)->condition_order-simplex->vertices.size()-1; |
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| 99 | |
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| 100 | // cout << "C:" << condition_order << " N:" << my_emlig->number_of_parameters << " C+N:" << condition_order-my_emlig->number_of_parameters << endl; |
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| 101 | // pause(0.1); |
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| 102 | |
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| 103 | if(sigma_order >= 0) |
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| 104 | { |
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| 105 | |
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| 106 | //cout << endl; |
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| 107 | //cout << ((toprow*)this)->condition << endl; |
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| 108 | //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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| 109 | |
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| 110 | |
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| 111 | emlig* current_emlig; |
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| 112 | simplex->clear_gammas(); |
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| 113 | simplex->probability = 0; |
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| 114 | |
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| 115 | if(this->my_emlig!=NULL) |
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| 116 | { |
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| 117 | current_emlig = this->my_emlig; |
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| 118 | } |
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| 119 | else |
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| 120 | { |
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| 121 | throw exception("The statistic of the polyhedron you are trying to integrate over doesn't belong to any emlig!"); |
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| 122 | } |
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| 123 | |
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| 124 | toprow* as_toprow = (toprow*)this; |
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| 125 | |
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| 126 | int dimension = simplex->vertices.size()-1; |
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| 127 | |
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| 128 | mat jacobian(dimension,dimension); |
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| 129 | |
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| 130 | map<double,int> as; |
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| 131 | vertex* base_vertex = *simplex->vertices.begin(); |
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| 132 | |
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| 133 | int row_count = 0; |
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| 134 | for(set<vertex*>::iterator vert_ref = simplex->vertices.begin(); vert_ref!=simplex->vertices.end();vert_ref++) |
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| 135 | { |
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| 136 | if(vert_ref!=simplex->vertices.begin()) |
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| 137 | { |
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| 138 | vec relative_coords = (*vert_ref)->get_coordinates()-base_vertex->get_coordinates(); |
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| 139 | jacobian.set_row(row_count-1,relative_coords); |
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| 140 | } |
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| 141 | |
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| 142 | vec extended_coords = (*vert_ref)->get_coordinates(); |
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| 143 | extended_coords.ins(0,-1); |
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| 144 | |
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| 145 | double a = extended_coords*as_toprow->condition_sum; |
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| 146 | if(a<current_emlig->min_ll) |
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| 147 | { |
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| 148 | current_emlig->minimal_vertex = (*vert_ref); |
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| 149 | current_emlig->min_ll = a; |
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| 150 | } |
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| 151 | |
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| 152 | //cout << "a0:" << a_0 << " a0 coords:" << base_vertex->get_coordinates() << " am:" << a_m << " am coords:" << (*vert_ref)->get_coordinates() << endl; |
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| 153 | |
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| 154 | // cout << "Absolute coords:(V" << row_count << ")" << (*vert_ref)->get_coordinates() << endl; |
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| 155 | //cout << "Relative coords:(V" << row_count << ")" << relative_coords << endl; |
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| 156 | |
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| 157 | pair<map<double,int>::iterator,bool> returned = as.insert(pair<double,int>(a,1)); |
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| 158 | if(returned.second == false) |
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| 159 | { |
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| 160 | (*returned.first).second++; |
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| 161 | } |
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| 162 | |
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| 163 | row_count++; |
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| 164 | } |
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| 165 | |
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| 166 | /* |
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| 167 | int as_count = 1; |
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| 168 | for(map<double,int>::iterator as_ref = as.begin();as_ref!=as.end();as_ref++) |
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| 169 | { |
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| 170 | cout << "a_" << as_count << ": " << (*as_ref).first << " "; |
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| 171 | as_count++; |
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| 172 | } |
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| 173 | */ |
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| 174 | |
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| 175 | vector<double> gamma_facs; |
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| 176 | // cout << jacobian << endl; |
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| 177 | double det_jacobian = abs(det(jacobian)); |
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| 178 | for(map<double,int>::iterator a_ref = as.begin();a_ref!=as.end();a_ref++) |
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| 179 | { |
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| 180 | double k_multiplier = 1; |
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| 181 | |
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| 182 | int a_order = (*a_ref).second; |
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| 183 | current_emlig->set_correction_factors(a_order-1); |
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| 184 | |
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| 185 | vector<double> factors; |
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| 186 | for(map<double,int>::iterator a2_ref = as.begin();a2_ref!=as.end();a2_ref++) |
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| 187 | { |
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| 188 | if(a2_ref!=a_ref) |
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| 189 | { |
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| 190 | for(int k = 0;k<(*a2_ref).second;k++) |
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| 191 | { |
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| 192 | factors.push_back((*a2_ref).first-(*a_ref).first); |
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| 193 | } |
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| 194 | |
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| 195 | k_multiplier /= pow((*a2_ref).first-(*a_ref).first,(*a2_ref).second); |
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| 196 | } |
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| 197 | } |
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| 198 | |
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| 199 | double bracket_combination = 0; |
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| 200 | |
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| 201 | for(int k = 0;k < a_order;k++) |
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| 202 | { |
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| 203 | if(k==gamma_facs.size()) |
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| 204 | { |
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| 205 | gamma_facs.push_back(0.0); |
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| 206 | } |
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| 207 | |
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| 208 | double factor_multiplier = pow((double)-1,k)/pow((*a_ref).first,sigma_order-k);//pow((double)-1,k+1) |
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| 209 | |
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| 210 | if(k!=0) |
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| 211 | { |
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| 212 | ivec control_vec = ivec(); |
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| 213 | control_vec.ins(0,my_emlig->number_of_parameters-a_order+1); |
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| 214 | for(multiset<my_ivec>::iterator combi_ref = this->my_emlig->correction_factors[k-1].begin();combi_ref!=this->my_emlig->correction_factors[k-1].upper_bound(my_ivec(control_vec));combi_ref++) |
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| 215 | { |
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| 216 | double bracket_factor = 1/fact(a_order-1-k); |
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| 217 | |
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| 218 | for(int j = 0;j<(*combi_ref).size();j++) |
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| 219 | { |
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| 220 | //cout << "Factor vector:" << (*combi_ref) << endl; |
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| 221 | |
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| 222 | bracket_factor /= factors[(*combi_ref)[j]-1]; |
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| 223 | } |
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| 224 | |
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| 225 | double value = bracket_factor*factor_multiplier*k_multiplier; |
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| 226 | |
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| 227 | simplex->insert_gamma(k,value,(*a_ref).first); |
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| 228 | gamma_facs[k] += value; |
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| 229 | } |
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| 230 | } |
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| 231 | else |
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| 232 | { |
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| 233 | double value = k_multiplier*factor_multiplier/fact(a_order-1); |
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| 234 | |
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| 235 | simplex->insert_gamma(0,value,(*a_ref).first); |
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| 236 | gamma_facs[k] += value; |
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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 | double int_value = 0; |
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| 242 | int gamma_size = (int)gamma_facs.size(); |
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| 243 | if(sigma_order-gamma_size>=0) |
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| 244 | { |
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| 245 | for(int k = 0;k<gamma_size;k++) |
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| 246 | { |
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| 247 | int_value += det_jacobian*fact(sigma_order-gamma_size+k)/fact(jacobian.rows())*gamma_facs[k]/pow(2.0,sigma_order); |
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| 248 | } |
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| 249 | } |
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| 250 | else |
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| 251 | { |
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| 252 | int_value = -1; |
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| 253 | } |
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| 254 | |
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| 255 | simplex->probability = int_value; |
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| 256 | //cout << "Probability:" << int_value << endl; |
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| 257 | return int_value; |
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| 258 | } |
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| 259 | else |
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| 260 | { |
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| 261 | cout << "Improper probability density." << endl; |
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| 262 | return 0.0; |
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| 263 | } |
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| 264 | } |
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