157 lines
4.5 KiB
C++
157 lines
4.5 KiB
C++
/**
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* @file FactorGraph.h
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* @brief Factor Graph Base Class
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* @author Carlos Nieto
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* @author Christian Potthast
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*/
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// \callgraph
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#pragma once
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#include <boost/shared_ptr.hpp>
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#include <boost/serialization/map.hpp>
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#include <boost/serialization/list.hpp>
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#include <boost/serialization/vector.hpp>
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#include <boost/serialization/shared_ptr.hpp>
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#include "Testable.h"
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#include "BayesNet.h"
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namespace gtsam {
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class Ordering;
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/**
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* A factor graph is a bipartite graph with factor nodes connected to variable nodes.
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* In this class, however, only factor nodes are kept around.
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*
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* Templated on the type of factors and configuration.
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*/
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template<class Factor> class FactorGraph: public Testable<FactorGraph<Factor> > {
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public:
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typedef typename boost::shared_ptr<Factor> sharedFactor;
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typedef typename std::vector<sharedFactor>::iterator iterator;
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typedef typename std::vector<sharedFactor>::const_iterator const_iterator;
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protected:
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/** Collection of factors */
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std::vector<sharedFactor> factors_;
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/** For each variable a list of factor indices connected to it */
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typedef std::map<std::string, std::list<int> > Indices;
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Indices indices_;
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public:
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/** Default constructor */
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FactorGraph() {}
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/** convert from Bayes net */
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template<class Conditional>
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FactorGraph(const BayesNet<Conditional>& bayesNet);
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/** print out graph */
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void print(const std::string& s = "FactorGraph") const;
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/** Check equality */
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bool equals(const FactorGraph& fg, double tol = 1e-9) const;
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/** STL begin and end, so we can use BOOST_FOREACH */
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inline iterator begin() { return factors_.begin();}
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inline const_iterator begin() const { return factors_.begin();}
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inline iterator end() { return factors_.end(); }
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inline const_iterator end() const { return factors_.end(); }
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/** Get a specific factor by index */
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inline sharedFactor operator[](size_t i) const {return factors_[i];}
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/** delete factor without re-arranging indexes by inserting a NULL pointer */
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inline void remove(size_t i) { factors_[i].reset();}
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/** return the number of factors and NULLS */
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inline size_t size() const { return factors_.size();}
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/** return the number valid factors */
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size_t nrFactors() const;
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/** Add a factor */
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void push_back(sharedFactor factor);
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/** push back many factors */
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void push_back(const FactorGraph<Factor>& factors);
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/** replace a factor by index */
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void replace(int index, sharedFactor factor);
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/** return keys in some random order */
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Ordering keys() const;
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/** Check whether a factor with this variable exists */
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bool involves(const std::string& key) const {
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return !(indices_.find(key)==indices_.end());
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}
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/**
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* Compute colamd ordering
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*/
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Ordering getOrdering() const;
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/**
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* shared pointer versions for MATLAB
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*/
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boost::shared_ptr<Ordering> getOrdering_() const;
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/**
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* Return indices for all factors that involve the given node
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* @param key the key for the given node
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*/
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std::list<int> factors(const std::string& key) const;
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/**
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* find all the factors that involve the given node and remove them
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* from the factor graph
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* @param key the key for the given node
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*/
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std::vector<sharedFactor> findAndRemoveFactors(const std::string& key);
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/**
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* find the minimum spanning tree.
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*/
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std::map<std::string, std::string> findMinimumSpanningTree() const;
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private:
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/** Associate factor index with the variables connected to the factor */
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void associateFactor(int index, sharedFactor factor);
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/** Serialization function */
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friend class boost::serialization::access;
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template<class Archive>
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void serialize(Archive & ar, const unsigned int version) {
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ar & BOOST_SERIALIZATION_NVP(factors_);
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ar & BOOST_SERIALIZATION_NVP(indices_);
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}
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}; // FactorGraph
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/**
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* Extract and combine all the factors that involve a given node
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* Put this here as not all Factors have a combine constructor
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* @param key the key for the given node
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* @return the combined linear factor
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*/
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template<class Factor> boost::shared_ptr<Factor>
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removeAndCombineFactors(FactorGraph<Factor>& factorGraph, const std::string& key);
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/**
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* static function that combines two factor graphs
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* @param const &fg1 Linear factor graph
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* @param const &fg2 Linear factor graph
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* @return a new combined factor graph
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*/
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template<class Factor>
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FactorGraph<Factor> combine(const FactorGraph<Factor>& fg1, const FactorGraph<Factor>& fg2);
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} // namespace gtsam
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