Go to the documentation of this file.
39 cout <<
"Split A into (A1) " << Ab1.size() <<
" and (A2) " << Ab2.size()
40 <<
" factors" << endl;
43 auto xbar = Rc1.optimize();
44 pc_ = std::make_shared<SubgraphPreconditioner>(Ab2, Rc1, xbar);
54 pc_ = std::make_shared<SubgraphPreconditioner>(Ab2, Rc1, xbar);
80 pair<GaussianFactorGraph, GaussianFactorGraph>
85 auto subgraph = builder(factorGraph);
Linear Factor Graph where all factors are Gaussians.
SubgraphSolver(const GaussianFactorGraph &A, const Parameters ¶meters, const Ordering &ordering)
Subgraph Solver from IROS 2010.
SubgraphBuilderParameters builderParams
Verbosity verbosity() const
Chordal Bayes Net, the result of eliminating a factor graph.
std::pair< GaussianFactorGraph, GaussianFactorGraph > splitGraph(const GaussianFactorGraph &gfg)
Split graph using Kruskal algorithm, treating binary factors as edges.
std::shared_ptr< SubgraphPreconditioner > pc_
preconditioner object
V conjugateGradients(const S &Ab, V x, const ConjugateGradientParameters ¶meters, bool steepest)
std::pair< GaussianFactorGraph, GaussianFactorGraph > splitFactorGraph(const GaussianFactorGraph &factorGraph, const Subgraph &subgraph)
static ConjugateGradientParameters parameters
VectorValues optimize() const
Iterative methods, template implementation.
VectorValues optimize() const
Optimize from zero.
static enum @1096 ordering
std::pair< GaussianConditional::shared_ptr, JacobianFactor::shared_ptr > EliminateQR(const GaussianFactorGraph &factors, const Ordering &keys)
gtsam
Author(s):
autogenerated on Sun Dec 22 2024 04:14:04