Program Listing for File LeastSquaresConjugateGradient.hpp
↰ Return to documentation for file (include/eigenpy/solvers/LeastSquaresConjugateGradient.hpp
)
/*
* Copyright 2017-2018 CNRS
*/
#ifndef __eigenpy_least_square_conjugate_gradient_hpp__
#define __eigenpy_least_square_conjugate_gradient_hpp__
#include <Eigen/IterativeLinearSolvers>
#include "eigenpy/fwd.hpp"
#include "eigenpy/solvers/IterativeSolverBase.hpp"
namespace eigenpy {
template <typename LeastSquaresConjugateGradient>
struct LeastSquaresConjugateGradientVisitor
: public boost::python::def_visitor<LeastSquaresConjugateGradientVisitor<
LeastSquaresConjugateGradient> > {
typedef Eigen::MatrixXd MatrixType;
template <class PyClass>
void visit(PyClass& cl) const {
cl.def(bp::init<>("Default constructor"))
.def(bp::init<MatrixType>(
bp::arg("A"),
"Initialize the solver with matrix A for further || Ax - b || "
"solving.\n"
"This constructor is a shortcut for the default constructor "
"followed by a call to compute()."));
}
static void expose() {
bp::class_<LeastSquaresConjugateGradient, boost::noncopyable>(
"LeastSquaresConjugateGradient", bp::no_init)
.def(IterativeSolverVisitor<LeastSquaresConjugateGradient>())
.def(LeastSquaresConjugateGradientVisitor<
LeastSquaresConjugateGradient>())
.def(IdVisitor<LeastSquaresConjugateGradient>());
}
};
} // namespace eigenpy
#endif // ifndef __eigenpy_least_square_conjugate_gradient_hpp__