95 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			95 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			C++
		
	
	
/*
 | 
						|
 * CSP.cpp
 | 
						|
 * @brief Constraint Satisfaction Problem class
 | 
						|
 * @date Feb 6, 2012
 | 
						|
 * @author Frank Dellaert
 | 
						|
 */
 | 
						|
 | 
						|
#include <gtsam_unstable/discrete/Domain.h>
 | 
						|
#include <gtsam_unstable/discrete/CSP.h>
 | 
						|
#include <gtsam/discrete/DiscreteSequentialSolver.h>
 | 
						|
#include <gtsam/base/Testable.h>
 | 
						|
#include <boost/foreach.hpp>
 | 
						|
 | 
						|
namespace gtsam {
 | 
						|
 | 
						|
	/// Find the best total assignment - can be expensive
 | 
						|
	CSP::sharedValues CSP::optimalAssignment() const {
 | 
						|
		DiscreteSequentialSolver solver(*this);
 | 
						|
		DiscreteBayesNet::shared_ptr chordal = solver.eliminate();
 | 
						|
		sharedValues mpe = optimize(*chordal);
 | 
						|
		return mpe;
 | 
						|
	}
 | 
						|
 | 
						|
	void CSP::runArcConsistency(size_t cardinality, size_t nrIterations, bool print) const {
 | 
						|
		// Create VariableIndex
 | 
						|
		VariableIndex index(*this);
 | 
						|
		// index.print();
 | 
						|
 | 
						|
		size_t n = index.size();
 | 
						|
 | 
						|
		// Initialize domains
 | 
						|
		std::vector < Domain > domains;
 | 
						|
		for (size_t j = 0; j < n; j++)
 | 
						|
			domains.push_back(Domain(DiscreteKey(j,cardinality)));
 | 
						|
 | 
						|
		// Create array of flags indicating a domain changed or not
 | 
						|
		std::vector<bool> changed(n);
 | 
						|
 | 
						|
		// iterate nrIterations over entire grid
 | 
						|
		for (size_t it = 0; it < nrIterations; it++) {
 | 
						|
			bool anyChange = false;
 | 
						|
			// iterate over all cells
 | 
						|
			for (size_t v = 0; v < n; v++) {
 | 
						|
				// keep track of which domains changed
 | 
						|
				changed[v] = false;
 | 
						|
				// loop over all factors/constraints for variable v
 | 
						|
				const VariableIndex::Factors& factors = index[v];
 | 
						|
				BOOST_FOREACH(size_t f,factors) {
 | 
						|
					// if not already a singleton
 | 
						|
					if (!domains[v].isSingleton()) {
 | 
						|
						// get the constraint and call its ensureArcConsistency method
 | 
						|
						Constraint::shared_ptr factor = (*this)[f];
 | 
						|
						changed[v] = factor->ensureArcConsistency(v,domains) || changed[v];
 | 
						|
					}
 | 
						|
				} // f
 | 
						|
				if (changed[v]) anyChange = true;
 | 
						|
			} // v
 | 
						|
			if (!anyChange) break;
 | 
						|
			// TODO: Sudoku specific hack
 | 
						|
			if (print) {
 | 
						|
				if (cardinality == 9 && n == 81) {
 | 
						|
					for (size_t i = 0, v = 0; i < sqrt(n); i++) {
 | 
						|
						for (size_t j = 0; j < sqrt(n); j++, v++) {
 | 
						|
							if (changed[v]) cout << "*";
 | 
						|
							domains[v].print();
 | 
						|
							cout << "\t";
 | 
						|
						} // i
 | 
						|
						cout << endl;
 | 
						|
					} // j
 | 
						|
				} else {
 | 
						|
					for (size_t v = 0; v < n; v++) {
 | 
						|
						if (changed[v]) cout << "*";
 | 
						|
						domains[v].print();
 | 
						|
						cout << "\t";
 | 
						|
					} // v
 | 
						|
				}
 | 
						|
				cout << endl;
 | 
						|
			} // print
 | 
						|
		} // it
 | 
						|
 | 
						|
#ifndef INPROGRESS
 | 
						|
		// Now create new problem with all singleton variables removed
 | 
						|
		// We do this by adding simplifying all factors using parial application
 | 
						|
		// TODO: create a new ordering as we go, to ensure a connected graph
 | 
						|
		// KeyOrdering ordering;
 | 
						|
		// vector<Index> dkeys;
 | 
						|
		BOOST_FOREACH(const Constraint::shared_ptr& factor, factors_) {
 | 
						|
			Constraint::shared_ptr reduced = factor->partiallyApply(domains);
 | 
						|
			if (print) reduced->print();
 | 
						|
		}
 | 
						|
#endif
 | 
						|
	}
 | 
						|
} // gtsam
 | 
						|
 |