gtsam/linear/GaussianISAM.cpp

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/**
* @file GaussianISAM
* @brief Linear ISAM only
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* @author Michael Kaess
*/
#include "GaussianISAM.h"
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using namespace std;
using namespace gtsam;
// Explicitly instantiate so we don't have to include everywhere
#include "ISAM-inl.h"
template class ISAM<GaussianConditional>;
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namespace gtsam {
/* ************************************************************************* */
void optimize(const GaussianISAM::sharedClique& clique, VectorConfig& result) {
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// parents are assumed to already be solved and available in result
GaussianISAM::Clique::const_reverse_iterator it;
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for (it = clique->rbegin(); it!=clique->rend(); it++) {
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GaussianConditional::shared_ptr cg = *it;
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Vector x = cg->solve(result); // Solve for that variable
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result.insert(cg->key(), x); // store result in partial solution
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}
BOOST_FOREACH(const GaussianISAM::sharedClique& child, clique->children_) {
// list<GaussianISAM::Clique::shared_ptr>::const_iterator child;
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// for (child = clique->children_.begin(); child != clique->children_.end(); child++) {
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optimize(child, result);
}
}
/* ************************************************************************* */
VectorConfig optimize(const GaussianISAM& bayesTree) {
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VectorConfig result;
// starting from the root, call optimize on each conditional
optimize(bayesTree.root(), result);
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return result;
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}
} /// namespace gtsam