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								/*
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								 * iterative.h
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								 * @brief Iterative methods, implementation
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								 * @author Frank Dellaert
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								 * Created on: Dec 28, 2009
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								 */
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								#pragma once
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								#include "Matrix.h"
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								namespace gtsam {
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									/**
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									 * Method of conjugate gradients (CG) template
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									 * "System" class S needs gradient(S,v), e=S*v, v=S^e
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									 * "Vector" class V needs dot(v,v), -v, v+v, s*v
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									 * "Vector" class E needs dot(v,v)
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									 * @param Ab, the "system" that needs to be solved, examples below
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									 * @param x is the initial estimate
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									 * @param epsilon determines the convergence criterion: norm(g)<epsilon*norm(g0)
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									 * @param maxIterations, if 0 will be set to |x|
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									 * @param steepest flag, if true does steepest descent, not CG
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									 * */
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									template<class S, class V, class E>
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									V conjugateGradients(const S& Ab, V x, bool verbose, double epsilon,
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											size_t maxIterations, bool steepest = false);
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									/**
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									 * Helper class encapsulating the combined system |Ax-b_|^2
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									 * Needed to run Conjugate Gradients on matrices
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									 * */
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									class System {
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									private:
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										const Matrix& A_;
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										const Vector& b_;
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									public:
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										System(const Matrix& A, const Vector& b) :
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											A_(A), b_(b) {
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										}
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										/** gradient of objective function 0.5*|Ax-b_|^2 at x = A_'*(Ax-b_) */
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										Vector gradient(const Vector& x) const {
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											return A_ ^ (A_ * x - b_);
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										}
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										/** Apply operator A_ */
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										inline Vector operator*(const Vector& x) const {
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											return A_ * x;
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										}
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										/** Apply operator A_^T */
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										inline Vector operator^(const Vector& e) const {
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											return A_ ^ e;
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										}
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										/**
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										 * Print with optional string
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										 */
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										void print (const std::string& s = "System") const;
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									};
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									/**
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									 * Method of steepest gradients, System version
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									 */
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									Vector steepestDescent(const System& Ab, const Vector& x, bool verbose =
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											false, double epsilon = 1e-3, double epsilon_abs = 1e-5, size_t maxIterations = 0);
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									/**
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									 * Method of conjugate gradients (CG), System version
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									 */
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									Vector conjugateGradientDescent(const System& Ab, const Vector& x,
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											bool verbose = false, double epsilon = 1e-3, double epsilon_abs = 1e-5,
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											size_t maxIterations = 0);
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									/** convenience calls using matrices, will create System class internally: */
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									/**
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									 * Method of steepest gradients, Matrix version
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									 */
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									Vector steepestDescent(const Matrix& A, const Vector& b, const Vector& x,
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											bool verbose = false, double epsilon = 1e-3, double epsilon_abs = 1e-5,
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											size_t maxIterations = 0);
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									/**
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									 * Method of conjugate gradients (CG), Matrix version
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									 */
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									Vector conjugateGradientDescent(const Matrix& A, const Vector& b,
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											const Vector& x, bool verbose = false, double epsilon = 1e-3,
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											double epsilon_abs = 1e-5, size_t maxIterations = 0);
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									class GaussianFactorGraph;
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									class VectorConfig;
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									/**
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									 * Method of steepest gradients, Gaussian Factor Graph version
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									 * */
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									VectorConfig steepestDescent(const GaussianFactorGraph& fg,
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											const VectorConfig& x, bool verbose = false, double epsilon = 1e-3,
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											double epsilon_abs = 1e-5, size_t maxIterations = 0);
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									/**
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									 * Method of conjugate gradients (CG), Gaussian Factor Graph version
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									 * */
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									VectorConfig conjugateGradientDescent(const GaussianFactorGraph& fg,
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											const VectorConfig& x, bool verbose = false, double epsilon = 1e-3,
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											double epsilon_abs = 1e-5, size_t maxIterations = 0);
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								} // namespace gtsam
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