Collaboration diagram for Hybrid:

Classes
class	gtsam::GaussianMixture
	A conditional of gaussian mixtures indexed by discrete variables, as part of a Bayes Network. This is the result of the elimination of a continuous variable in a hybrid scheme, such that the remaining variables are discrete+continuous. More...

class	gtsam::GaussianMixtureFactor
	Implementation of a discrete conditional mixture factor. Implements a joint discrete-continuous factor where the discrete variable serves to "select" a mixture component corresponding to a GaussianFactor type of measurement. More...

class	gtsam::HybridBayesNet

class	gtsam::HybridBayesTreeClique
	A clique in a HybridBayesTree which is a HybridConditional internally. More...

class	gtsam::HybridConditional

class	gtsam::HybridEliminationTree

class	gtsam::HybridFactor

class	gtsam::HybridGaussianFactorGraph

class	gtsam::HybridGaussianISAM

class	gtsam::HybridJunctionTree

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

Detailed Description

Function Documentation

std::pair<HybridConditional::shared_ptr, 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.