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

Implementation of a variable elimination algorithm for inference in Bayesian networks. More...

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Classes

class  gum::VariableElimination< GUM_SCALAR >
 Implementation of a Variable Elimination'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::VENewmultiTensor (const Tensor< GUM_SCALAR > &t1, const Tensor< GUM_SCALAR > &t2)
template<typename GUM_SCALAR>
static INLINE Tensor< GUM_SCALAR > gum::VENewprojTensor (const Tensor< GUM_SCALAR > &t1, const gum::VariableSet &del_vars)

Detailed Description

Implementation of a variable elimination algorithm for inference in Bayesian networks.

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

Definition in file variableElimination.h.