| 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 | 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 | if(should_integrate) |
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| 37 | { |
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| 38 | cur_prob = ((toprow *)this)->integrate_simplex(new_simplex, 'S'); |
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| 39 | |
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| 40 | ((toprow *)this)->probability += cur_prob; |
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| 41 | } |
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| 42 | |
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| 43 | triangulation.insert(new_simplex); |
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| 44 | } |
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| 45 | else |
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| 46 | { |
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| 47 | delete new_simplex; |
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| 48 | } |
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| 49 | } |
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| 50 | } |
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| 51 | |
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| 52 | /* |
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| 53 | for(list<polyhedron*>::iterator child_ref = children.begin();child_ref!=children.end();child_ref++) |
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| 54 | { |
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| 55 | for(list<set<vertex*>>::iterator t_ref = (*child_ref)->triangulation.begin();t_ref!=(*child_ref)->triangulation.end();t_ref++) |
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| 56 | { |
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| 57 | set<vertex*> new_simplex; |
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| 58 | new_simplex.insert((*t_ref).begin(),(*t_ref).end()); |
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| 59 | |
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| 60 | for(set<vertex*>::iterator suitable_vert_ref = vertices.begin();*suitable_vert_ref<*(*t_ref).begin();suitable_vert_ref++) |
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| 61 | { |
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| 62 | set<vertex*> suitable_simplex; |
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| 63 | suitable_simplex.insert(new_simplex.begin(),new_simplex.end()); |
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| 64 | |
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| 65 | suitable_simplex.insert(*suitable_vert_ref); |
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| 66 | |
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| 67 | triangulation.push_back(suitable_simplex); |
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| 68 | |
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| 69 | if(should_integrate) |
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| 70 | { |
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| 71 | ((toprow *)this)->probability += ((toprow *)this)->integrate_simplex(suitable_simplex, 'S'); |
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| 72 | } |
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| 73 | } |
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| 74 | } |
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| 75 | }*/ |
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| 76 | } |
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| 77 | |
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| 78 | |
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| 79 | double toprow::integrate_simplex(simplex* simplex, char c) |
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| 80 | { |
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| 81 | // cout << ((toprow*)this)->condition << endl; |
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| 82 | |
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| 83 | int condition_order = ((toprow*)this)->condition_order-2; // -2 by bylo, pokud chceme uniformni apriorno |
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| 84 | |
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| 85 | int sigma_order = condition_order-my_emlig->number_of_parameters; |
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| 86 | |
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| 87 | // cout << "C:" << condition_order << " N:" << my_emlig->number_of_parameters << " C+N:" << condition_order-my_emlig->number_of_parameters << endl; |
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| 88 | // pause(0.1); |
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| 89 | |
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| 90 | if(sigma_order >= 0) |
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| 91 | { |
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| 92 | |
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| 93 | //cout << endl; |
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| 94 | //cout << ((toprow*)this)->condition << endl; |
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| 95 | //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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| 96 | |
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| 97 | |
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| 98 | emlig* current_emlig; |
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| 99 | simplex->gamma_parameters.clear(); |
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| 100 | simplex->gamma_sum = 0; |
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| 101 | |
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| 102 | if(this->my_emlig!=NULL) |
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| 103 | { |
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| 104 | current_emlig = this->my_emlig; |
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| 105 | } |
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| 106 | else |
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| 107 | { |
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| 108 | throw exception("The statistic of the polyhedron you are trying to integrate over doesn't belong to any emlig!"); |
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| 109 | } |
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| 110 | |
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| 111 | toprow* as_toprow = (toprow*)this; |
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| 112 | |
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| 113 | vec cur_condition = as_toprow->condition_sum.get(1,as_toprow->condition_sum.size()-1); |
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| 114 | |
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| 115 | // cout << as_toprow->condition << endl; |
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| 116 | |
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| 117 | int dimension = simplex->vertices.size()-1; |
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| 118 | |
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| 119 | mat jacobian(dimension,dimension); |
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| 120 | |
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| 121 | double a_0; |
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| 122 | map<double,int> as; |
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| 123 | vertex* base_vertex; |
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| 124 | set<vertex*>::iterator base_ref = simplex->vertices.begin(); |
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| 125 | bool order_correct; |
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| 126 | |
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| 127 | |
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| 128 | do |
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| 129 | { |
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| 130 | order_correct = true; |
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| 131 | as.clear(); |
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| 132 | |
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| 133 | base_vertex = (*base_ref); |
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| 134 | |
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| 135 | |
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| 136 | // cout << endl << "Base coords:" << base_vertex->get_coordinates() << endl; |
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| 137 | |
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| 138 | a_0 = base_vertex->get_coordinates()*cur_condition-as_toprow->condition_sum[0]; |
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| 139 | |
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| 140 | |
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| 141 | int row_count = 0; |
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| 142 | for(set<vertex*>::iterator vert_ref = simplex->vertices.begin(); vert_ref!=simplex->vertices.end();vert_ref++) |
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| 143 | { |
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| 144 | if(vert_ref != base_ref) |
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| 145 | { |
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| 146 | vec relative_coords = (*vert_ref)->get_coordinates()-base_vertex->get_coordinates(); |
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| 147 | |
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| 148 | jacobian.set_row(row_count,relative_coords); |
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| 149 | |
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| 150 | double new_a = -relative_coords*cur_condition; |
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| 151 | |
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| 152 | if(new_a + a_0 == 0 || new_a == 0) |
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| 153 | { |
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| 154 | base_ref++; |
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| 155 | |
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| 156 | if(base_ref == simplex->vertices.end()) |
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| 157 | { |
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| 158 | 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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| 159 | } |
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| 160 | |
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| 161 | order_correct = false; |
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| 162 | |
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| 163 | break; |
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| 164 | } |
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| 165 | |
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| 166 | |
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| 167 | |
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| 168 | if(a_0<current_emlig->likelihood_value) |
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| 169 | { |
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| 170 | current_emlig->minimal_vertex = base_vertex; |
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| 171 | current_emlig->likelihood_value = a_0; |
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| 172 | } |
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| 173 | |
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| 174 | double a_m = (*vert_ref)->get_coordinates()*cur_condition-as_toprow->condition_sum[0]; |
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| 175 | if(a_m<current_emlig->likelihood_value) |
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| 176 | { |
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| 177 | current_emlig->minimal_vertex = (*vert_ref); |
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| 178 | current_emlig->likelihood_value = a_m; |
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| 179 | } |
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| 180 | |
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| 181 | //cout << "a0:" << a_0 << " a0 coords:" << base_vertex->get_coordinates() << " am:" << a_m << " am coords:" << (*vert_ref)->get_coordinates() << endl; |
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| 182 | |
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| 183 | // cout << "Absolute coords:(V" << row_count << ")" << (*vert_ref)->get_coordinates() << endl; |
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| 184 | //cout << "Relative coords:(V" << row_count << ")" << relative_coords << endl; |
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| 185 | |
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| 186 | pair<map<double,int>::iterator,bool> returned = as.insert(pair<double,int>(new_a,1)); |
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| 187 | if(returned.second == false) |
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| 188 | { |
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| 189 | (*returned.first).second++; |
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| 190 | } |
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| 191 | /* |
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| 192 | else |
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| 193 | { |
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| 194 | cout << "a[" << row_count << "] = " << new_a << endl; |
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| 195 | } |
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| 196 | */ |
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| 197 | |
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| 198 | //as.ins(as.size(),new_a); |
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| 199 | |
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| 200 | row_count++; |
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| 201 | } |
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| 202 | } |
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| 203 | } |
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| 204 | while(!order_correct); |
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| 205 | |
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| 206 | /* |
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| 207 | cout << "a_0: " << a_0 << " "; |
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| 208 | int as_count = 1; |
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| 209 | for(map<double,int>::iterator as_ref = as.begin();as_ref!=as.end();as_ref++) |
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| 210 | { |
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| 211 | cout << "a_" << as_count << ": " << (*as_ref).first << " "; |
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| 212 | as_count++; |
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| 213 | }*/ |
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| 214 | |
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| 215 | double int_value = 0; |
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| 216 | |
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| 217 | // cout << jacobian << endl; |
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| 218 | |
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| 219 | double det_jacobian = abs(det(jacobian)); |
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| 220 | double correction_term = det_jacobian; |
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| 221 | for(map<double,int>::iterator as_ref = as.begin();as_ref!=as.end();as_ref++) |
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| 222 | { |
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| 223 | double multiplier = det_jacobian; |
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| 224 | |
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| 225 | int as1_order = (*as_ref).second; |
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| 226 | |
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| 227 | correction_term /= pow(-(*as_ref).first,as1_order); |
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| 228 | |
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| 229 | current_emlig->set_correction_factors(as1_order); |
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| 230 | |
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| 231 | vector<double> factors; |
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| 232 | int number_of_factors = 0; |
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| 233 | for(map<double,int>::iterator as2_ref = as.begin();as2_ref!=as.end();as2_ref++) |
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| 234 | { |
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| 235 | |
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| 236 | if(as2_ref!=as_ref) |
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| 237 | { |
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| 238 | for(int k = 0;k<(*as2_ref).second;k++) |
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| 239 | { |
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| 240 | factors.push_back((*as_ref).first-(*as2_ref).first); |
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| 241 | } |
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| 242 | |
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| 243 | multiplier /= pow((*as_ref).first-(*as2_ref).first,(*as2_ref).second); |
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| 244 | number_of_factors += (*as2_ref).second; |
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| 245 | } |
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| 246 | else |
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| 247 | { |
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| 248 | factors.push_back((*as_ref).first); |
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| 249 | |
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| 250 | multiplier /= (*as_ref).first; |
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| 251 | number_of_factors += 1; |
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| 252 | } |
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| 253 | |
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| 254 | } |
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| 255 | |
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| 256 | |
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| 257 | |
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| 258 | double bracket = fact(as1_order-1)/pow(a_0-(*as_ref).first,sigma_order+1); |
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| 259 | |
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| 260 | simplex->gamma_sum += bracket*multiplier; |
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| 261 | |
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| 262 | multimap<double,double> map; |
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| 263 | simplex->gamma_parameters.push_back(map); |
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| 264 | simplex->gamma_parameters[0].insert(pair<double,double>(bracket*multiplier,a_0-(*as_ref).first)); |
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| 265 | |
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| 266 | bracket *= fact(sigma_order); |
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| 267 | |
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| 268 | for(int k = 0;k < as1_order-1;k++) |
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| 269 | { |
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| 270 | double local_bracket = 0; |
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| 271 | double bracket_factor = -pow((double)-1,k+1)/fact(as1_order-1-k)/pow(a_0-(*as_ref).first,sigma_order-k); |
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| 272 | |
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| 273 | ivec control_vec = ivec(); |
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| 274 | control_vec.ins(0,my_emlig->number_of_parameters-as1_order+1); |
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| 275 | |
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| 276 | 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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| 277 | { |
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| 278 | double bracket_combination = 1; |
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| 279 | for(int j = 0;j<(*combi_ref).size();j++) |
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| 280 | { |
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| 281 | //cout << "Factor vector:" << (*combi_ref) << endl; |
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| 282 | |
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| 283 | bracket_combination /= factors[(*combi_ref)[j]-1]; |
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| 284 | } |
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| 285 | |
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| 286 | local_bracket += bracket_factor*bracket_combination; |
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| 287 | } |
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| 288 | |
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| 289 | simplex->gamma_sum += local_bracket*multiplier; |
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| 290 | |
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| 291 | if(simplex->gamma_parameters.size()<=k+1) |
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| 292 | { |
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| 293 | multimap<double,double> loc_map; |
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| 294 | simplex->gamma_parameters.push_back(loc_map); |
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| 295 | } |
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| 296 | |
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| 297 | simplex->gamma_parameters[k+1].insert(pair<double,double>(local_bracket*multiplier,a_0-(*as_ref).first)); |
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| 298 | |
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| 299 | bracket += local_bracket*fact(sigma_order-k); |
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| 300 | } |
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| 301 | |
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| 302 | int_value += multiplier*bracket; |
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| 303 | |
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| 304 | } |
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| 305 | |
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| 306 | double correction_term_base = correction_term/pow(a_0,sigma_order+1); |
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| 307 | |
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| 308 | simplex->gamma_sum += correction_term_base; |
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| 309 | simplex->gamma_parameters[0].insert(pair<double,double>(correction_term_base,a_0)); |
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| 310 | |
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| 311 | correction_term = fact(sigma_order)*correction_term_base; |
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| 312 | |
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| 313 | //cout << c << int_value << endl; |
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| 314 | |
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| 315 | int_value += correction_term; |
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| 316 | |
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| 317 | |
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| 318 | //cout << "Probability:" << int_value << endl; |
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| 319 | //pause(0.100); |
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| 320 | |
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| 321 | simplex->probability = int_value; |
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| 322 | |
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| 323 | return int_value; |
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| 324 | |
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| 325 | } |
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| 326 | else |
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| 327 | { |
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| 328 | return 0.0; |
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| 329 | } |
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| 330 | } |
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