aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
ShaferShenoyInference.h File Reference

Implementation of Shafer-Shenoy's algorithm for inference in Bayesian networks. More...

Include dependency graph for ShaferShenoyInference.h:
This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes

class  gum::ShaferShenoyInference< GUM_SCALAR >
 Implementation of Shafer-Shenoy's propagation algorithm 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::SSNewmultiTensor (const Tensor< GUM_SCALAR > &t1, const Tensor< GUM_SCALAR > &t2)
template<typename GUM_SCALAR>
static INLINE Tensor< GUM_SCALAR > gum::SSNewprojTensor (const Tensor< GUM_SCALAR > &t1, const gum::VariableSet &del_vars)

Detailed Description

Implementation of Shafer-Shenoy's algorithm for inference in Bayesian networks.

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

Definition in file ShaferShenoyInference.h.