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								/**
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								 * @file    NonlinearFactorGraph.h
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								 * @brief   Factor Graph Constsiting of non-linear factors
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								 * @author  Frank Dellaert
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								 * @author  Carlos Nieto
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								 * @author  Christian Potthast
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								 */
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								// \callgraph
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								#pragma once
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								#include "NonlinearFactor.h"
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								#include "GaussianFactorGraph.h"
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								namespace gtsam {
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									/**
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									 * A non-linear factor graph is templated on a configuration, but the factor type
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									 * is fixed as a NonlinearFactor. The configurations are typically (in SAM) more general
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									 * than just vectors, e.g., Rot3 or Pose3, which are objects in non-linear manifolds.
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									 * Linearizing the non-linear factor graph creates a linear factor graph on the 
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									 * tangent vector space at the linearization point. Because the tangent space is a true
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									 * vector space, the config type will be an VectorConfig in that linearized
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									 */
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									template<class Config>
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									class NonlinearFactorGraph: public FactorGraph<NonlinearFactor<Config> > {
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									public:
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										/** unnormalized error */
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										double error(const Config& c) const;
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										/** all individual errors */
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										Vector error_vector(const Config& c) const;
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										/** Unnormalized probability. O(n) */
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										double probPrime(const Config& c) const {
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											return exp(-0.5 * error(c));
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										}
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										/**
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										 * linearize a nonlinear factor graph
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										 */
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										GaussianFactorGraph linearize(const Config& config) const;
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										/**
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										 * shared pointer versions for MATLAB
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										 */
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										boost::shared_ptr<GaussianFactorGraph>
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												linearize_(const Config& config) const;
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									};
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								} // namespace
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