Classes
class	gtsam::HybridBayesNet
	A hybrid Bayes net is a collection of HybridConditionals, which can have discrete conditionals, hybrid Gaussian conditionals, or pure Gaussian conditionals. More...
class	gtsam::HybridBayesTreeClique
	A clique in a HybridBayesTree which is a HybridConditional internally. More...
class	gtsam::HybridConditional
	Hybrid Conditional Density. More...
class	gtsam::HybridEliminationTree
	Elimination Tree type for Hybrid Factor Graphs. More...
class	gtsam::HybridFactor
	Base class for truly hybrid probabilistic factors. More...
class	gtsam::HybridGaussianConditional
	A conditional of gaussian conditionals indexed by discrete variables, as part of a Bayes Network. More...
class	gtsam::HybridGaussianFactor
	Implementation of a discrete-conditioned hybrid factor. More...
class	gtsam::HybridGaussianFactorGraph
class	gtsam::HybridGaussianISAM
	Incremental Smoothing and Mapping (ISAM) algorithm for hybrid factor graphs. More...
class	gtsam::HybridJunctionTree
	An EliminatableClusterTree, i.e., a set of variable clusters with factors, arranged in a tree, with the additional property that it represents the clique tree associated with a Bayes net. More...
class	gtsam::HybridNonlinearFactor
	Implementation of a discrete-conditioned hybrid factor. More...

Functions
std::pair< HybridConditional::shared_ptr, std::shared_ptr< Factor > >	gtsam::EliminateHybrid (const HybridGaussianFactorGraph &factors, const Ordering &keys)
	Main elimination function for HybridGaussianFactorGraph.

Detailed Description

Function Documentation

GTSAM_EXPORT std::pair< std::shared_ptr< HybridConditional >, std::shared_ptr< Factor > > gtsam::EliminateHybrid	(	const HybridGaussianFactorGraph &	factors,
		const Ordering &	keys )

Main elimination function for HybridGaussianFactorGraph.

Parameters

factors	The factor graph to eliminate.
keys	The elimination ordering.