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