Eigne Matrix Class Library
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src/misc/Kernel.h@1:3b8049da21b8, 2019-09-24 (annotated)
- Committer:
- jsoh91
- Date:
- Tue Sep 24 00:18:23 2019 +0000
- Revision:
- 1:3b8049da21b8
- Parent:
- 0:13a5d365ba16
ignore and revise some of error parts
Who changed what in which revision?
User | Revision | Line number | New contents of line |
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ykuroda | 0:13a5d365ba16 | 1 | // This file is part of Eigen, a lightweight C++ template library |
ykuroda | 0:13a5d365ba16 | 2 | // for linear algebra. |
ykuroda | 0:13a5d365ba16 | 3 | // |
ykuroda | 0:13a5d365ba16 | 4 | // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com> |
ykuroda | 0:13a5d365ba16 | 5 | // |
ykuroda | 0:13a5d365ba16 | 6 | // This Source Code Form is subject to the terms of the Mozilla |
ykuroda | 0:13a5d365ba16 | 7 | // Public License v. 2.0. If a copy of the MPL was not distributed |
ykuroda | 0:13a5d365ba16 | 8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
ykuroda | 0:13a5d365ba16 | 9 | |
ykuroda | 0:13a5d365ba16 | 10 | #ifndef EIGEN_MISC_KERNEL_H |
ykuroda | 0:13a5d365ba16 | 11 | #define EIGEN_MISC_KERNEL_H |
ykuroda | 0:13a5d365ba16 | 12 | |
ykuroda | 0:13a5d365ba16 | 13 | namespace Eigen { |
ykuroda | 0:13a5d365ba16 | 14 | |
ykuroda | 0:13a5d365ba16 | 15 | namespace internal { |
ykuroda | 0:13a5d365ba16 | 16 | |
ykuroda | 0:13a5d365ba16 | 17 | /** \class kernel_retval_base |
ykuroda | 0:13a5d365ba16 | 18 | * |
ykuroda | 0:13a5d365ba16 | 19 | */ |
ykuroda | 0:13a5d365ba16 | 20 | template<typename DecompositionType> |
ykuroda | 0:13a5d365ba16 | 21 | struct traits<kernel_retval_base<DecompositionType> > |
ykuroda | 0:13a5d365ba16 | 22 | { |
ykuroda | 0:13a5d365ba16 | 23 | typedef typename DecompositionType::MatrixType MatrixType; |
ykuroda | 0:13a5d365ba16 | 24 | typedef Matrix< |
ykuroda | 0:13a5d365ba16 | 25 | typename MatrixType::Scalar, |
ykuroda | 0:13a5d365ba16 | 26 | MatrixType::ColsAtCompileTime, // the number of rows in the "kernel matrix" |
ykuroda | 0:13a5d365ba16 | 27 | // is the number of cols of the original matrix |
ykuroda | 0:13a5d365ba16 | 28 | // so that the product "matrix * kernel = zero" makes sense |
ykuroda | 0:13a5d365ba16 | 29 | Dynamic, // we don't know at compile-time the dimension of the kernel |
ykuroda | 0:13a5d365ba16 | 30 | MatrixType::Options, |
ykuroda | 0:13a5d365ba16 | 31 | MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter |
ykuroda | 0:13a5d365ba16 | 32 | MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space, |
ykuroda | 0:13a5d365ba16 | 33 | // whose dimension is the number of columns of the original matrix |
ykuroda | 0:13a5d365ba16 | 34 | > ReturnType; |
ykuroda | 0:13a5d365ba16 | 35 | }; |
ykuroda | 0:13a5d365ba16 | 36 | |
ykuroda | 0:13a5d365ba16 | 37 | template<typename _DecompositionType> struct kernel_retval_base |
ykuroda | 0:13a5d365ba16 | 38 | : public ReturnByValue<kernel_retval_base<_DecompositionType> > |
ykuroda | 0:13a5d365ba16 | 39 | { |
ykuroda | 0:13a5d365ba16 | 40 | typedef _DecompositionType DecompositionType; |
ykuroda | 0:13a5d365ba16 | 41 | typedef ReturnByValue<kernel_retval_base> Base; |
ykuroda | 0:13a5d365ba16 | 42 | typedef typename Base::Index Index; |
ykuroda | 0:13a5d365ba16 | 43 | |
ykuroda | 0:13a5d365ba16 | 44 | kernel_retval_base(const DecompositionType& dec) |
ykuroda | 0:13a5d365ba16 | 45 | : m_dec(dec), |
ykuroda | 0:13a5d365ba16 | 46 | m_rank(dec.rank()), |
ykuroda | 0:13a5d365ba16 | 47 | m_cols(m_rank==dec.cols() ? 1 : dec.cols() - m_rank) |
ykuroda | 0:13a5d365ba16 | 48 | {} |
ykuroda | 0:13a5d365ba16 | 49 | |
ykuroda | 0:13a5d365ba16 | 50 | inline Index rows() const { return m_dec.cols(); } |
ykuroda | 0:13a5d365ba16 | 51 | inline Index cols() const { return m_cols; } |
ykuroda | 0:13a5d365ba16 | 52 | inline Index rank() const { return m_rank; } |
ykuroda | 0:13a5d365ba16 | 53 | inline const DecompositionType& dec() const { return m_dec; } |
ykuroda | 0:13a5d365ba16 | 54 | |
ykuroda | 0:13a5d365ba16 | 55 | template<typename Dest> inline void evalTo(Dest& dst) const |
ykuroda | 0:13a5d365ba16 | 56 | { |
ykuroda | 0:13a5d365ba16 | 57 | static_cast<const kernel_retval<DecompositionType>*>(this)->evalTo(dst); |
ykuroda | 0:13a5d365ba16 | 58 | } |
ykuroda | 0:13a5d365ba16 | 59 | |
ykuroda | 0:13a5d365ba16 | 60 | protected: |
ykuroda | 0:13a5d365ba16 | 61 | const DecompositionType& m_dec; |
ykuroda | 0:13a5d365ba16 | 62 | Index m_rank, m_cols; |
ykuroda | 0:13a5d365ba16 | 63 | }; |
ykuroda | 0:13a5d365ba16 | 64 | |
ykuroda | 0:13a5d365ba16 | 65 | } // end namespace internal |
ykuroda | 0:13a5d365ba16 | 66 | |
ykuroda | 0:13a5d365ba16 | 67 | #define EIGEN_MAKE_KERNEL_HELPERS(DecompositionType) \ |
ykuroda | 0:13a5d365ba16 | 68 | typedef typename DecompositionType::MatrixType MatrixType; \ |
ykuroda | 0:13a5d365ba16 | 69 | typedef typename MatrixType::Scalar Scalar; \ |
ykuroda | 0:13a5d365ba16 | 70 | typedef typename MatrixType::RealScalar RealScalar; \ |
ykuroda | 0:13a5d365ba16 | 71 | typedef typename MatrixType::Index Index; \ |
ykuroda | 0:13a5d365ba16 | 72 | typedef Eigen::internal::kernel_retval_base<DecompositionType> Base; \ |
ykuroda | 0:13a5d365ba16 | 73 | using Base::dec; \ |
ykuroda | 0:13a5d365ba16 | 74 | using Base::rank; \ |
ykuroda | 0:13a5d365ba16 | 75 | using Base::rows; \ |
ykuroda | 0:13a5d365ba16 | 76 | using Base::cols; \ |
ykuroda | 0:13a5d365ba16 | 77 | kernel_retval(const DecompositionType& dec) : Base(dec) {} |
ykuroda | 0:13a5d365ba16 | 78 | |
ykuroda | 0:13a5d365ba16 | 79 | } // end namespace Eigen |
ykuroda | 0:13a5d365ba16 | 80 | |
ykuroda | 0:13a5d365ba16 | 81 | #endif // EIGEN_MISC_KERNEL_H |