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Fixed comment wording

release/4.3a0
Richard Roberts 2013-08-08 17:35:33 +00:00
parent 7175d588e1
commit 41a1b3c30e
1 changed files with 8 additions and 8 deletions
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16
gtsam/inference/EliminateableFactorGraph.h
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@ -164,20 +164,20 @@ namespace gtsam {
const Eliminate& function = EliminationTraitsType::DefaultEliminate,
OptionalVariableIndex variableIndex = boost::none) const;
/** Do multifrontal elimination of the given \c variables in an ordering computed by COLAMD to
* produce a Bayes net and a remaining factor graph. This computes the factorization \f$ p(X)
* = p(A|B) p(B) \f$, where \f$ A = \f$ \c variables, \f$ X \f$ is all the variables in the
* factor graph, and \f$ B = X\backslash A \f$. */
/** Do multifrontal elimination of some variables, in \c ordering provided, to produce a Bayes
* tree and a remaining factor graph. This computes the factorization \f$ p(X) = p(A|B) p(B)
* \f$, where \f$ A = \f$ \c variables, \f$ X \f$ is all the variables in the factor graph, and
* \f$ B = X\backslash A \f$. */
std::pair<boost::shared_ptr<BayesTreeType>, boost::shared_ptr<FactorGraphType> >
eliminatePartialMultifrontal(
const Ordering& ordering,
const Eliminate& function = EliminationTraitsType::DefaultEliminate,
OptionalVariableIndex variableIndex = boost::none) const;
/** Do multifrontal elimination of some variables in the given \c ordering to produce a Bayes
* tree and a remaining factor graph. This computes the factorization \f$ p(X) = p(A|B) p(B)
* \f$, where \f$ A = \f$ \c variables, \f$ X \f$ is all the variables in the factor graph, and
* \f$ B = X\backslash A \f$. */
/** Do multifrontal elimination of the given \c variables in an ordering computed by COLAMD to
* produce a Bayes net and a remaining factor graph. This computes the factorization \f$ p(X)
* = p(A|B) p(B) \f$, where \f$ A = \f$ \c variables, \f$ X \f$ is all the variables in the
* factor graph, and \f$ B = X\backslash A \f$. */
std::pair<boost::shared_ptr<BayesTreeType>, boost::shared_ptr<FactorGraphType> >
eliminatePartialMultifrontal(
const std::vector<Key>& variables,