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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_MISC_KERNEL_H
#define EIGEN_MISC_KERNEL_H
/** \class ei_kernel_retval_base
*
*/
template<typename DecompositionType>
struct ei_traits<ei_kernel_retval_base<DecompositionType> >
{
typedef typename DecompositionType::MatrixType MatrixType;
typedef Matrix<
typename MatrixType::Scalar,
MatrixType::ColsAtCompileTime, // the number of rows in the "kernel matrix"
// is the number of cols of the original matrix
// so that the product "matrix * kernel = zero" makes sense
Dynamic, // we don't know at compile-time the dimension of the kernel
MatrixType::Options,
MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter
MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space,
// whose dimension is the number of columns of the original matrix
> ReturnType;
};
template<typename _DecompositionType> struct ei_kernel_retval_base
: public ReturnByValue<ei_kernel_retval_base<_DecompositionType> >
{
typedef _DecompositionType DecompositionType;
ei_kernel_retval_base(const DecompositionType& dec)
: m_dec(dec),
m_rank(dec.rank()),
m_cols(m_rank==dec.cols() ? 1 : dec.cols() - m_rank)
{}
inline int rows() const { return m_dec.cols(); }
inline int cols() const { return m_cols; }
inline int rank() const { return m_rank; }
inline const DecompositionType& dec() const { return m_dec; }
template<typename Dest> inline void evalTo(Dest& dst) const
{
static_cast<const ei_kernel_retval<DecompositionType>*>(this)->evalTo(dst);
}
protected:
const DecompositionType& m_dec;
int m_rank, m_cols;
};
#define EIGEN_MAKE_KERNEL_HELPERS(DecompositionType) \
typedef typename DecompositionType::MatrixType MatrixType; \
typedef typename MatrixType::Scalar Scalar; \
typedef typename MatrixType::RealScalar RealScalar; \
typedef ei_kernel_retval_base<DecompositionType> Base; \
using Base::dec; \
using Base::rank; \
using Base::rows; \
using Base::cols; \
ei_kernel_retval(const DecompositionType& dec) : Base(dec) {}
#endif // EIGEN_MISC_KERNEL_H