lazyPropagation.h File Reference

Implementation of a Shafer-Shenoy's-like version of lazy propagation for inference in Bayesian networks. More...

#include <utility>
#include <agrum/agrum.h>
#include <agrum/base/graphicalModels/inference/scheduler/scheduledInference.h>
#include <agrum/base/graphs/algorithms/triangulations/defaultTriangulation.h>
#include <agrum/BN/algorithms/barrenNodesFinder.h>
#include <agrum/BN/inference/tools/evidenceInference.h>
#include <agrum/BN/inference/tools/jointTargetedInference.h>
#include <agrum/BN/inference/tools/relevantTensorsFinderType.h>
#include <agrum/BN/inference/lazyPropagation_tpl.h>

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Classes
class	gum::LazyPropagation< GUM_SCALAR >
	Implementation of a Shafer-Shenoy's-like version of lazy propagation for inference in Bayesian networks. More...

Namespaces
namespace	gum
	gum is the global namespace for all aGrUM entities

Functions
template<typename GUM_SCALAR>
static INLINE Tensor< GUM_SCALAR >	gum::LPNewmultiTensor (const Tensor< GUM_SCALAR > &t1, const Tensor< GUM_SCALAR > &t2)
template<typename GUM_SCALAR>
static INLINE Tensor< GUM_SCALAR >	gum::LPNewprojTensor (const Tensor< GUM_SCALAR > &t1, const gum::VariableSet &del_vars)
template<typename GUM_SCALAR>
static INLINE Tensor< GUM_SCALAR >	gum::LPMaxprojTensor (const Tensor< GUM_SCALAR > &t1, const gum::VariableSet &del_vars)

Detailed Description

Implementation of a Shafer-Shenoy's-like version of lazy propagation for inference in Bayesian networks.

Author

Christophe GONZALES(_at_AMU) and Pierre-Henri WUILLEMIN(_at_LIP6)

Definition in file lazyPropagation.h.