ASimulableEigenCG.hpp File Reference

#include "LinearOp/ASimulable.hpp"
#include <Eigen/Core>
#include <Eigen/Dense>
#include <Eigen/IterativeLinearSolvers>
#include <Eigen/src/Core/Matrix.h>
#include <unsupported/Eigen/IterativeSolvers>
#include <cassert>

Classes
class	ASimulableEigenCG< TLinOP >
	This class extends ASimulable to make it working with Eigen conjugate gradient algorithm. More...

Macros
#define	DECLARE_EIGEN_TRAITS(TLinOP)
#define	DECLARE_EIGEN_PRODUCT(TLinOP)

Macro Definition Documentation

DECLARE_EIGEN_PRODUCT

#define DECLARE_EIGEN_PRODUCT

(

TLinOP

)

Value:

template<typename Rhs> \
struct Eigen::internal::generic_product_impl<TLinOP, Rhs, Eigen::SparseShape, Eigen::DenseShape, Eigen::GemvProduct> \
: Eigen::internal::generic_product_impl_base<TLinOP, Rhs, Eigen::internal::generic_product_impl<TLinOP,Rhs> > \
{ \
  typedef typename Product<TLinOP,Rhs>::Scalar Scalar; \
  template<typename Dest> \
  static void scaleAndAddTo(Dest& dst, const TLinOP& lhs, const Rhs& rhs, const Scalar& alpha) \
  { \
    assert(alpha==Scalar(1) && "scaling is not implemented"); \
    EIGEN_ONLY_USED_FOR_DEBUG(alpha); \
    lhs.addToDest(rhs, dst); \
  } \
};

DECLARE_EIGEN_TRAITS

#define DECLARE_EIGEN_TRAITS

(

TLinOP

)

Value:

class TLinOP; \
using Eigen::SparseMatrix; \
 \
namespace Eigen { \
namespace internal { \
  template<> \
  struct traits<TLinOP> :  public Eigen::internal::traits<Eigen::SparseMatrix<double> > \
  {}; \
} \
}