aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
defaultEliminationSequenceStrategy.cpp
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40
41
47
48#include <agrum/agrum.h>
49
51
53
54namespace gum {
55
58 double theThreshold) :
59 _simplicial_ratio_(theRatio), _simplicial_threshold_(theThreshold) {
61 }
62
66 const NodeProperty< Size >* domain_sizes,
67 double ratio,
68 double threshold) : _simplicial_ratio_(ratio), _simplicial_threshold_(threshold) {
69 setGraph(graph, domain_sizes);
70
72 }
73
90
104
111
117
122
125 // remove the old simplicial set, if any
126 if (_simplicial_set_ != nullptr) {
127 delete _simplicial_set_;
128 _simplicial_set_ = nullptr;
129 }
130
131 if (graph_ != nullptr) {
132 // create a simplicial set suited for the graph
138
140 }
141 }
142
145 const NodeProperty< Size >* domain_sizes) {
148 return true;
149 }
150
151 return false;
152 }
153
164
167 // if there is no simplicial set, send an exception
168 if (graph_ == nullptr) { GUM_ERROR(NotFound, "the graph is empty") }
169
170 // select a node to be eliminated: try simplicial nodes, then almost
171 // simplicial nodes, then quasi-simplicial nodes
172 // note that if _graph_ != 0, _simplicial_set_ has been allocated
173 if (_simplicial_set_->hasSimplicialNode()) return _simplicial_set_->bestSimplicialNode();
174 else if (_simplicial_set_->hasAlmostSimplicialNode())
175 return _simplicial_set_->bestAlmostSimplicialNode();
176 else if (_simplicial_set_->hasQuasiSimplicialNode())
177 return _simplicial_set_->bestQuasiSimplicialNode();
178 else {
179 // here: select the node through Kjaerulff's heuristic
180 auto iter_heuristic = _log_weights_.cbegin();
181
182 if (iter_heuristic == _log_weights_.cend())
183 GUM_ERROR(NotFound, "there exists no more node to eliminate")
184
185 double min_weight = iter_heuristic.val();
186 NodeId removable_node = iter_heuristic.key();
187 for (++iter_heuristic; iter_heuristic != _log_weights_.cend(); ++iter_heuristic) {
188 if (iter_heuristic.val() < min_weight) {
189 removable_node = iter_heuristic.key();
190 min_weight = iter_heuristic.val();
191 }
192 }
193
194 return removable_node;
195 }
196 }
197
202 _provide_fill_ins_ = do_it;
203
204 if (_simplicial_set_ != nullptr) _simplicial_set_->setFillIns(_provide_fill_ins_);
205 }
206
211
215
218 if (_simplicial_set_ != nullptr) {
219 _simplicial_set_->makeClique(id);
220 _simplicial_set_->eraseClique(id);
221 }
222 }
223
231
232} /* namespace gum */
virtual void askFillIns(bool do_it) final
if the elimination sequence is able to compute fill-ins, we indicate whether we want this feature to ...
virtual NodeId nextNodeToEliminate() final
returns the new node to be eliminated within the triangulation algorithm
void _createSimplicialSet_()
create a new simplicial set suited for the current graph
double _simplicial_threshold_
the threshold used by simplicial_set to determine small cliques
NodeProperty< double > _log_weights_
for each node, the weight of the clique created by the node's elimination
virtual const EdgeSet & fillIns() final
in case fill-ins are provided, this function returns the fill-ins due to all the nodes eliminated so ...
double _simplicial_ratio_
the ratio used by simplicial_set for its quasi-simplicial nodes
virtual bool providesGraphUpdate() const final
indicates whether the elimination sequence updates by itself the graph after a node has been eliminat...
virtual void clear() final
clears the sequence (to prepare, for instance, a new elimination sequence)
virtual void eliminationUpdate(const NodeId node) final
performs all the graph/fill-ins updates provided (if any)
DefaultEliminationSequenceStrategy(double theRatio=GUM_QUASI_RATIO, double theThreshold=GUM_WEIGHT_THRESHOLD)
default constructor (uses an empty graph)
SimplicialSet * _simplicial_set_
the simplicial set used for determining the best nodes to eliminate
virtual bool providesFillIns() const final
indicates whether the fill-ins generated by the eliminated nodes, if needed, will be computed by the ...
bool _provide_fill_ins_
indicates whether we compute new fill-ins
virtual bool setGraph(UndiGraph *graph, const NodeProperty< Size > *dom_sizes) final
sets a new graph to be triangulated
virtual DefaultEliminationSequenceStrategy * newFactory() const final
creates a new elimination sequence of the same type as the current object, but this sequence contains...
virtual DefaultEliminationSequenceStrategy * copyFactory() const final
virtual copy constructor
virtual bool setGraph(UndiGraph *graph, const NodeProperty< Size > *dom_sizes)
sets a new graph to be triangulated
NodeProperty< double > log_domain_sizes_
the log of the domain sizes of the variables/nodes
UndiGraph * graph_
the graph to be triangulated
virtual void clear()
clears the sequence (to prepare, for instance, a new elimination sequence)
UndiGraph * graph() const noexcept
returns the current graph
virtual const EdgeSet & fillIns()
in case fill-ins are provided, this function returns the fill-ins due to all the nodes eliminated so ...
Exception : the element we looked for cannot be found.
Class enabling fast retrieval of simplicial, quasi and almost simplicial nodes.
Base class for undirected graphs.
Definition undiGraph.h:128
An efficient unconstrained elimination sequence algorithm.
#define GUM_ERROR(type, msg)
Definition exceptions.h:72
Set< Edge > EdgeSet
Some typdefs and define for shortcuts ...
Size NodeId
Type for node ids.
HashTable< NodeId, VAL > NodeProperty
Property on graph elements.
Useful macros for maths.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.