Corrected some doxygen warnings
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file BayesNet
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* @file BayesNet.h
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* @brief Bayes network
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* @author Frank Dellaert
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*/
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file BayesTree.cpp
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* @file BayesTree-inl.h
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* @brief Bayes Tree is a tree of cliques of a Bayes Chain
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* @author Frank Dellaert
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* @author Michael Kaess
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file BayesTree
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* @file BayesTree.h
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* @brief Bayes Tree is a tree of cliques of a Bayes Chain
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* @author Frank Dellaert
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*/
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file BayesTreeCliqueBase
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* @file BayesTreeCliqueBase-inl.h
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* @brief Base class for cliques of a BayesTree
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* @author Richard Roberts and Frank Dellaert
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*/
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file BayesTreeCliqueBase
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* @file BayesTreeCliqueBase.h
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* @brief Base class for cliques of a BayesTree
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* @author Richard Roberts and Frank Dellaert
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*/
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file EliminationTree.cpp
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* @file EliminationTree-inl.h
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* @author Frank Dellaert
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* @date Oct 13, 2010
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*/
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@ -10,9 +10,9 @@
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* -------------------------------------------------------------------------- */
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/*
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* graph-inl.h
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* @file graph-inl.h
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* @brief Graph algorithm using boost library
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* @author: Kai Ni
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* @author Kai Ni
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*/
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#pragma once
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@ -10,9 +10,10 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file inference-inl.h
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* @file inference.cpp
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* @brief inference definitions
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* @author Frank Dellaert, Richard Roberts
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* @author Frank Dellaert
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* @author Richard Roberts
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*/
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#include <gtsam/inference/inference.h>
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* @file inference.h
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* @brief Contains *generic* inference algorithms that convert between templated
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* graphical models, i.e., factor graphs, Bayes nets, and Bayes trees
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* @author Frank Dellaert, Richard Roberts
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* @author Frank Dellaert
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* @author Richard Roberts
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*/
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#pragma once
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* -------------------------------------------------------------------------- */
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/**
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* @file GaussianBayesTree.cpp
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* @file GaussianBayesTree-inl.h
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* @brief Gaussian Bayes Tree, the result of eliminating a GaussianJunctionTree
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* @brief GaussianBayesTree
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* @author Frank Dellaert
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* -------------------------------------------------------------------------- */
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/**
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* @file GaussianISAM
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* @file GaussianISAM.cpp
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* @brief Linear ISAM only
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* @author Michael Kaess
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*/
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* -------------------------------------------------------------------------- */
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/**
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* @file GaussianISAM
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* @file GaussianISAM.h
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* @brief Linear ISAM only
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* @author Michael Kaess
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*/
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* -------------------------------------------------------------------------- */
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/**
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* @file SequentialSolver.cpp
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* @file GaussianSequentialSolver.cpp
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* @author Richard Roberts
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* @date Oct 19, 2010
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*/
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* -------------------------------------------------------------------------- */
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/**
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* @file SequentialSolver.h
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* @file GaussianSequentialSolver.h
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* @brief Solves a GaussianFactorGraph (i.e. a sparse linear system) using sequential variable elimination.
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* @author Richard Roberts
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* @date Oct 19, 2010
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* -------------------------------------------------------------------------- */
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/**
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* @file testKalmanFilter.cpp
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*
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* Simple linear Kalman filter.
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* Implemented using factor graphs, i.e., does Cholesky-based SRIF, really.
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*
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* @file KalmanFilter.h
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* @brief Simple linear Kalman filter. Implemented using factor graphs, i.e., does Cholesky-based SRIF, really.
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* @date Sep 3, 2011
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* @author Stephen Williams
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* @author Frank Dellaert
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@ -10,8 +10,8 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file NoiseModelFactor.h
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* @brief Non-linear factor class
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* @file NonlinearFactor.h
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* @brief Non-linear factor base classes
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* @author Frank Dellaert
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* @author Richard Roberts
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*/
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