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@ -25,6 +25,12 @@ namespace gtsam {
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* the config type is in order to be able to optimize over non-vector configurations as well.
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* To use in code, include <gtsam/NonlinearOptimizer-inl.h> in your cpp file
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* (the trick in http://www.ddj.com/cpp/184403420 did not work).
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*
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* For example, in a 2D case, $G$ can be Pose2Graph, $T$ can be Pose2Config,
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* $L$ can be GaussianFactorGraph and $S$ can be Factorization<Pose2Graph, Pose2Config>.
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* The solver class has two main functions: linear and optimize. The first one linear the
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* nonlinear cost function around the current estimate, and the second one optimize the
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* linearized system using various methods.
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*/
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template<class G, class T, class L = GaussianFactorGraph, class S = Factorization<G, T> >
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class NonlinearOptimizer {
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