78 lines
3.1 KiB
C++
78 lines
3.1 KiB
C++
// 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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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_MISC_KERNEL_H
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#define EIGEN_MISC_KERNEL_H
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// IWYU pragma: private
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#include "./InternalHeaderCheck.h"
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namespace Eigen {
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namespace internal {
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/** \class kernel_retval_base
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*
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*/
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template <typename DecompositionType>
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struct traits<kernel_retval_base<DecompositionType> > {
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typedef typename DecompositionType::MatrixType MatrixType;
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typedef Matrix<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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traits<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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>
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ReturnType;
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};
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template <typename DecompositionType_>
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struct kernel_retval_base : public ReturnByValue<kernel_retval_base<DecompositionType_> > {
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typedef DecompositionType_ DecompositionType;
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typedef ReturnByValue<kernel_retval_base> Base;
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explicit kernel_retval_base(const DecompositionType& dec)
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: m_dec(dec), m_rank(dec.rank()), m_cols(m_rank == dec.cols() ? 1 : dec.cols() - m_rank) {}
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inline Index rows() const { return m_dec.cols(); }
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inline Index cols() const { return m_cols; }
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inline Index rank() const { return m_rank; }
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inline const DecompositionType& dec() const { return m_dec; }
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template <typename Dest>
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inline void evalTo(Dest& dst) const {
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static_cast<const kernel_retval<DecompositionType>*>(this)->evalTo(dst);
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}
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protected:
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const DecompositionType& m_dec;
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Index m_rank, m_cols;
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};
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} // end namespace internal
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#define EIGEN_MAKE_KERNEL_HELPERS(DecompositionType) \
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typedef typename DecompositionType::MatrixType MatrixType; \
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typedef typename MatrixType::Scalar Scalar; \
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typedef typename MatrixType::RealScalar RealScalar; \
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typedef Eigen::internal::kernel_retval_base<DecompositionType> Base; \
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using Base::dec; \
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using Base::rank; \
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using Base::rows; \
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using Base::cols; \
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kernel_retval(const DecompositionType& dec) : Base(dec) {}
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} // end namespace Eigen
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#endif // EIGEN_MISC_KERNEL_H
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