70 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			70 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			C++
		
	
	
| /*
 | |
|  * NestedDissection.h
 | |
|  *
 | |
|  *   Created on: Nov 27, 2010
 | |
|  *       Author: nikai
 | |
|  *  Description: apply nested dissection algorithm to the factor graph
 | |
|  */
 | |
| 
 | |
| #pragma once
 | |
| 
 | |
| #include <vector>
 | |
| #include <boost/shared_ptr.hpp>
 | |
| #include <gtsam/nonlinear/Ordering.h>
 | |
| 
 | |
| namespace gtsam { namespace partition {
 | |
| 
 | |
| 	/**
 | |
| 	 *  Apply nested dissection algorithm to nonlinear factor graphs
 | |
| 	 */
 | |
| 	template <class NLG, class SubNLG, class GenericGraph>
 | |
| 	class NestedDissection {
 | |
| 	public:
 | |
| 		typedef boost::shared_ptr<SubNLG> sharedSubNLG;
 | |
| 
 | |
| 	private:
 | |
| 		NLG fg_;                          // the original nonlinear factor graph
 | |
| 		Ordering ordering_;               // the variable ordering in the nonlinear factor graph
 | |
| 		std::vector<Symbol> int2symbol_;  // the mapping from integer key to symbol
 | |
| 		sharedSubNLG root_;               // the root of generated cluster tree
 | |
| 
 | |
| 	public:
 | |
| 		sharedSubNLG root() const { return root_; }
 | |
| 
 | |
| 	public:
 | |
| 		/* constructor with post-determined partitoning*/
 | |
| 		NestedDissection(const NLG& fg, const Ordering& ordering, const int numNodeStopPartition, const int minNodesPerMap, const bool verbose = false);
 | |
| 
 | |
| 		/* constructor with pre-determined cuts*/
 | |
| 		NestedDissection(const NLG& fg, const Ordering& ordering, const boost::shared_ptr<Cuts>& cuts, const bool verbose = false);
 | |
| 
 | |
| 	private:
 | |
| 		/* convert generic subgraph to nonlinear subgraph  */
 | |
| 		sharedSubNLG makeSubNLG(const NLG& fg, const std::vector<size_t>& frontals,	const std::vector<size_t>& sep,	const boost::shared_ptr<SubNLG>& parent) const;
 | |
| 
 | |
| 		void processFactor(const typename GenericGraph::value_type& factor, const std::vector<int>& partitionTable,  // input
 | |
| 					std::vector<GenericGraph>& frontalFactors, NLG& sepFactors, std::vector<std::set<size_t> >& childSeps, // output factor graphs
 | |
| 					typename SubNLG::Weeklinks& weeklinks) const;
 | |
| 
 | |
| 		/* recursively partition the generic graph */
 | |
| 		void partitionFactorsAndVariables(
 | |
| 				const GenericGraph& fg, const GenericUnaryGraph& unaryFactors,
 | |
| 				const std::vector<size_t>& keys, const std::vector<int>& partitionTable, const int numSubmaps,  // input
 | |
| 				std::vector<GenericGraph>& frontalFactors, vector<GenericUnaryGraph>& frontalUnaryFactors, NLG& sepFactors,   // output factor graphs
 | |
| 				std::vector<std::vector<size_t> >& childFrontals, std::vector<std::vector<size_t> >& childSeps, std::vector<size_t>& localFrontals,  // output sub-orderings
 | |
| 				typename SubNLG::Weeklinks& weeklinks) const;
 | |
| 
 | |
| 		NLG collectOriginalFactors(const GenericGraph& gfg, const GenericUnaryGraph& unaryFactors) const;
 | |
| 
 | |
| 		/* recursively partition the generic graph */
 | |
| 		sharedSubNLG recursivePartition(const GenericGraph& gfg, const GenericUnaryGraph& unaryFactors, const std::vector<size_t>& frontals, const std::vector<size_t>& sep,
 | |
| 					const int numNodeStopPartition, const int minNodesPerMap, const boost::shared_ptr<SubNLG>& parent, WorkSpace& workspace, const bool verbose) const;
 | |
| 
 | |
| 		/* recursively partition the generic graph */
 | |
| 		sharedSubNLG recursivePartition(const GenericGraph& gfg, const GenericUnaryGraph& unaryFactors, const std::vector<size_t>& frontals, const std::vector<size_t>& sep,
 | |
| 				const boost::shared_ptr<Cuts>& cuts, const boost::shared_ptr<SubNLG>& parent, WorkSpace& workspace, const bool verbose) const;
 | |
| 
 | |
| 	};
 | |
| 
 | |
| }} //namespace
 |