CNLoopyPropagation.h File Reference

Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr. More...

#include <cstdlib>
#include <ctime>
#include <limits>
#include <agrum/CN/credalNet.h>
#include <agrum/CN/inferenceEngine.h>
#include <agrum/core/approximations/approximationScheme.h>
#include <agrum/core/math/pow.h>
#include <agrum/core/sequence.h>
#include <agrum/CN/CNLoopyPropagation_tpl.h>

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Classes
class	gum::credal::CNLoopyPropagation< GUM_SCALAR >
	<agrum/CN/CNLoopyPropagation.h> More...

Namespaces
	gum
	Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
	gum::credal
	namespace for all credal networks entities

Macros
#define	_INF   std::numeric_limits< GUM_SCALAR >::infinity()

Detailed Description

Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.

This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/.

Class implementing loopy-propagation with binary networks - L2U algorithm.

Author

Matthieu HOURBRACQ and Pierre-Henri WUILLEMIN

Definition in file CNLoopyPropagation.h.

Macro Definition Documentation

_INF

#define _INF   std::numeric_limits< GUM_SCALAR >::infinity()

Definition at line 43 of file CNLoopyPropagation.h.

Referenced by gum::credal::CNLoopyPropagation< GUM_SCALAR >::_compute_ext(), gum::credal::CNLoopyPropagation< GUM_SCALAR >::_initialize(), gum::credal::CNLoopyPropagation< GUM_SCALAR >::_msgP(), gum::credal::CNLoopyPropagation< GUM_SCALAR >::_refreshLMsPIs(), gum::credal::CNLoopyPropagation< GUM_SCALAR >::_updateMarginals(), and gum::credal::CNLoopyPropagation< GUM_SCALAR >::saveInference().