63 lines
1.9 KiB
C++
63 lines
1.9 KiB
C++
/**
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* @file NonlinearFactorGraph-inl.h
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* @brief Factor Graph Consisting of non-linear factors
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* @author Frank Dellaert
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* @author Carlos Nieto
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* @author Christian Potthast
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*/
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#pragma once
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#include <boost/foreach.hpp>
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#include "GaussianFactorGraph.h"
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#include "NonlinearFactorGraph.h"
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#include "FactorGraph-inl.h"
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#define INSTANTIATE_NONLINEAR_FACTOR_GRAPH(C) \
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INSTANTIATE_FACTOR_GRAPH(NonlinearFactor<C>); \
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template class NonlinearFactorGraph<C>;
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using namespace std;
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namespace gtsam {
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/* ************************************************************************* */
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template<class Config>
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Vector NonlinearFactorGraph<Config>::unwhitenedError(const Config& c) const {
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list<Vector> errors;
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BOOST_FOREACH(const sharedFactor& factor, this->factors_)
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errors.push_back(factor->unwhitenedError(c));
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return concatVectors(errors);
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}
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/* ************************************************************************* */
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template<class Config>
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double NonlinearFactorGraph<Config>::error(const Config& c) const {
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double total_error = 0.;
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// iterate over all the factors_ to accumulate the log probabilities
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BOOST_FOREACH(const sharedFactor& factor, this->factors_)
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total_error += factor->error(c);
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return total_error;
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}
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/* ************************************************************************* */
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template<class Config>
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boost::shared_ptr<GaussianFactorGraph> NonlinearFactorGraph<Config>::linearize(
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const Config& config) const{
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// create an empty linear FG
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boost::shared_ptr<GaussianFactorGraph> linearFG(new GaussianFactorGraph);
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// linearize all factors
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BOOST_FOREACH(const sharedFactor& factor, this->factors_) {
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boost::shared_ptr<GaussianFactor> lf = factor->linearize(config);
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linearFG->push_back(lf);
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}
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return linearFG;
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}
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/* ************************************************************************* */
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} // namespace gtsam
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