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introduce ei_xxx_return_value and ei_xxx_impl for xxx in solve,kernel,impl
put them in a new internal 'misc' directory
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71
Eigen/src/misc/Kernel.h
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71
Eigen/src/misc/Kernel.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_MISC_KERNEL_H
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#define EIGEN_MISC_KERNEL_H
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/** \class ei_kernel_return_value
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*
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*/
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template<typename DecompositionType>
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struct ei_traits<ei_kernel_return_value<DecompositionType> >
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{
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typedef typename DecompositionType::MatrixType MatrixType;
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typedef Matrix<
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typename MatrixType::Scalar,
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MatrixType::ColsAtCompileTime, // the number of rows in the "kernel matrix"
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// is the number of cols of the original matrix
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// so that the product "matrix * kernel = zero" makes sense
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Dynamic, // we don't know at compile-time the dimension of the kernel
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MatrixType::Options,
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MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter
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MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space,
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// whose dimension is the number of columns of the original matrix
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> ReturnMatrixType;
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};
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template<typename _DecompositionType> struct ei_kernel_return_value
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: public ReturnByValue<ei_kernel_return_value<_DecompositionType> >
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{
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typedef _DecompositionType DecompositionType;
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const DecompositionType& m_dec;
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int m_rank, m_cols;
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ei_kernel_return_value(const DecompositionType& dec)
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: m_dec(dec),
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m_rank(dec.rank()),
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m_cols(m_rank==dec.cols() ? 1 : dec.cols() - m_rank)
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{}
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inline int rows() const { return m_dec.cols(); }
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inline int cols() const { return m_cols; }
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template<typename Dest> inline void evalTo(Dest& dst) const
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{
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static_cast<const ei_kernel_impl<DecompositionType, Dest> *>
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(this)->evalTo(dst);
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}
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};
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#endif // EIGEN_MISC_KERNEL_H
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