gtsam/gtsam/linear/GaussianISAM.cpp

69 lines
2.3 KiB
C++

/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @file GaussianISAM.cpp
* @brief Linear ISAM only
* @author Michael Kaess
*/
#include <gtsam/3rdparty/Eigen/Eigen/Dense>
#include <gtsam/linear/GaussianISAM.h>
#include <gtsam/linear/GaussianBayesTree.h>
#include <gtsam/inference/ISAM.h>
using namespace std;
using namespace gtsam;
namespace gtsam {
// Explicitly instantiate so we don't have to include everywhere
template class ISAM<GaussianConditional>;
/* ************************************************************************* */
GaussianFactor::shared_ptr GaussianISAM::marginalFactor(Index j) const {
return Super::marginalFactor(j, &EliminateQR);
}
/* ************************************************************************* */
BayesNet<GaussianConditional>::shared_ptr GaussianISAM::marginalBayesNet(Index j) const {
return Super::marginalBayesNet(j, &EliminateQR);
}
/* ************************************************************************* */
Matrix GaussianISAM::marginalCovariance(Index j) const {
GaussianConditional::shared_ptr conditional = marginalBayesNet(j)->front();
return conditional->computeInformation().inverse();
}
/* ************************************************************************* */
BayesNet<GaussianConditional>::shared_ptr GaussianISAM::jointBayesNet(
Index key1, Index key2) const {
return Super::jointBayesNet(key1, key2, &EliminateQR);
}
/* ************************************************************************* */
VectorValues optimize(const GaussianISAM& isam) {
VectorValues result(isam.dims_);
// Call optimize for BayesTree
optimizeInPlace((const BayesTree<GaussianConditional>&)isam, result);
return result;
}
/* ************************************************************************* */
BayesNet<GaussianConditional> GaussianISAM::shortcut(sharedClique clique, sharedClique root) {
return clique->shortcut(root,&EliminateQR);
}
/* ************************************************************************* */
} // \namespace gtsam