63 lines
1.8 KiB
C++
63 lines
1.8 KiB
C++
/*
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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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#include "Matrix.h"
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namespace gtsam {
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class GaussianFactorGraph;
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class VectorConfig;
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/** typedef for combined system |Ax-b|^2 */
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typedef std::pair<Matrix, Vector> System;
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/**
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* In all calls below
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* x is the initial estimate
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* epsilon determines the convergence criterion: norm(g)<epsilon*norm(g0)
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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, size_t maxIterations = 0);
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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, size_t maxIterations = 0);
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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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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, 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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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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size_t maxIterations = 0);
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} // namespace gtsam
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