gtsam/linear/iterative.cpp

110 lines
4.5 KiB
C++

/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/*
* iterative.cpp
* @brief Iterative methods, implementation
* @author Frank Dellaert
* Created on: Dec 28, 2009
*/
#include <iostream>
#include <gtsam/base/Vector.h>
#include <gtsam/base/Matrix.h>
#include <gtsam/linear/GaussianFactorGraph.h>
#include <gtsam/linear/IterativeOptimizationParameters.h>
#include <gtsam/linear/iterative-inl.h>
using namespace std;
namespace gtsam {
/* ************************************************************************* */
void System::print (const string& s) const {
cout << s << endl;
gtsam::print(A_, "A");
gtsam::print(b_, "b");
}
/* ************************************************************************* */
Vector steepestDescent(const System& Ab, const Vector& x, const IterativeSolver::sharedParameters parameters) {
return conjugateGradients<System, Vector, Vector> (Ab, x, parameters, true);
}
Vector conjugateGradientDescent(const System& Ab, const Vector& x, const IterativeSolver::sharedParameters parameters) {
return conjugateGradients<System, Vector, Vector> (Ab, x, parameters);
}
/* ************************************************************************* */
Vector steepestDescent(const Matrix& A, const Vector& b, const Vector& x, const IterativeSolver::sharedParameters parameters) {
System Ab(A, b);
return conjugateGradients<System, Vector, Vector> (Ab, x, parameters, true);
}
Vector conjugateGradientDescent(const Matrix& A, const Vector& b, const Vector& x, const IterativeSolver::sharedParameters parameters) {
System Ab(A, b);
return conjugateGradients<System, Vector, Vector> (Ab, x, parameters);
}
/* ************************************************************************* */
VectorValues steepestDescent(const GaussianFactorGraph& fg, const VectorValues& x, const IterativeSolver::sharedParameters parameters) {
return conjugateGradients<GaussianFactorGraph, VectorValues, Errors> (fg, x, parameters, true);
}
VectorValues conjugateGradientDescent(const GaussianFactorGraph& fg, const VectorValues& x, const IterativeSolver::sharedParameters parameters) {
return conjugateGradients<GaussianFactorGraph, VectorValues, Errors> (fg, x, parameters);
}
// Vector steepestDescent(const System& Ab, const Vector& x, bool verbose,
// double epsilon, double epsilon_abs, size_t maxIterations) {
// return conjugateGradients<System, Vector, Vector> (Ab, x, verbose, epsilon,
// epsilon_abs, maxIterations, true);
// }
//
// Vector conjugateGradientDescent(const System& Ab, const Vector& x,
// bool verbose, double epsilon, double epsilon_abs, size_t maxIterations) {
// return conjugateGradients<System, Vector, Vector> (Ab, x, verbose, epsilon,
// epsilon_abs, maxIterations);
// }
//
// /* ************************************************************************* */
// Vector steepestDescent(const Matrix& A, const Vector& b, const Vector& x,
// bool verbose, double epsilon, double epsilon_abs, size_t maxIterations) {
// System Ab(A, b);
// return conjugateGradients<System, Vector, Vector> (Ab, x, verbose, epsilon,
// epsilon_abs, maxIterations, true);
// }
//
// Vector conjugateGradientDescent(const Matrix& A, const Vector& b,
// const Vector& x, bool verbose, double epsilon, double epsilon_abs, size_t maxIterations) {
// System Ab(A, b);
// return conjugateGradients<System, Vector, Vector> (Ab, x, verbose, epsilon,
// epsilon_abs, maxIterations);
// }
//
// /* ************************************************************************* */
// VectorValues steepestDescent(const GaussianFactorGraph& fg,
// const VectorValues& x, bool verbose, double epsilon, double epsilon_abs, size_t maxIterations) {
// return conjugateGradients<GaussianFactorGraph, VectorValues, Errors> (fg,
// x, verbose, epsilon, epsilon_abs, maxIterations, true);
// }
//
// VectorValues conjugateGradientDescent(const GaussianFactorGraph& fg,
// const VectorValues& x, bool verbose, double epsilon, double epsilon_abs, size_t maxIterations) {
// return conjugateGradients<GaussianFactorGraph, VectorValues, Errors> (fg,
// x, verbose, epsilon, epsilon_abs, maxIterations);
// }
/* ************************************************************************* */
} // namespace gtsam