gtsam/cpp/iterative.h

60 lines
1.6 KiB
C++

/*
* iterative.h
* @brief Iterative methods, implementation
* @author Frank Dellaert
* Created on: Dec 28, 2009
*/
#include "Matrix.h"
namespace gtsam {
class GaussianFactorGraph;
class VectorConfig;
/** typedef for combined system |Ax-b|^2 */
typedef std::pair<Matrix, Vector> System;
/**
* In all calls below
* x is the initial estimate
* epsilon determines the convergence criterion: norm(g)<epsilon*norm(g0)
*/
/**
* Method of steepest gradients, System version
*/
Vector steepestDescent(const System& Ab, const Vector& x, double epsilon =
1e-5, size_t maxIterations = 0);
/**
* Method of steepest gradients, Matrix version
*/
Vector steepestDescent(const Matrix& A, const Vector& b, const Vector& x,
double epsilon = 1e-5, size_t maxIterations = 0);
/**
* Method of steepest gradients, Gaussian Factor Graph version
* */
VectorConfig steepestDescent(const GaussianFactorGraph& fg,
const VectorConfig& x, double epsilon = 1e-5, size_t maxIterations = 0);
/**
* Method of conjugate gradients (CG), System version
*/
Vector conjugateGradientDescent(const System& Ab, const Vector& x,
double epsilon = 1e-5, size_t maxIterations = 0);
/**
* Method of conjugate gradients (CG), Matrix version
*/
Vector conjugateGradientDescent(const Matrix& A, const Vector& b,
const Vector& x, double epsilon = 1e-5, size_t maxIterations = 0);
/**
* Method of conjugate gradients (CG), Gaussian Factor Graph version
* */
VectorConfig conjugateGradientDescent(const GaussianFactorGraph& fg,
const VectorConfig& x, double epsilon = 1e-5, size_t maxIterations = 0);
} // namespace gtsam