WPILibC++ 2023.4.3-108-ge5452e3
Kernel.h
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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
13namespace Eigen {
14
15namespace internal {
16
17/** \class kernel_retval_base
18 *
19 */
20template<typename DecompositionType>
21struct 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
35};
36
37template<typename _DecompositionType> struct kernel_retval_base
38 : public ReturnByValue<kernel_retval_base<_DecompositionType> >
39{
40 typedef _DecompositionType DecompositionType;
42
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:
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
The matrix class, also used for vectors and row-vectors.
Definition: Matrix.h:180
Definition: ReturnByValue.h:52
Namespace containing all symbols from the Eigen library.
Definition: Core:141
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:74
const int Dynamic
This value means that a positive quantity (e.g., a size) is not known at compile-time,...
Definition: Constants.h:22
Definition: Eigen_Colamd.h:50
kernel_retval_base(const DecompositionType &dec)
Definition: Kernel.h:43
Index m_cols
Definition: Kernel.h:61
Index rank() const
Definition: Kernel.h:51
ReturnByValue< kernel_retval_base > Base
Definition: Kernel.h:41
const DecompositionType & dec() const
Definition: Kernel.h:52
Index rows() const
Definition: Kernel.h:49
_DecompositionType DecompositionType
Definition: Kernel.h:40
const DecompositionType & m_dec
Definition: Kernel.h:60
Index cols() const
Definition: Kernel.h:50
Index m_rank
Definition: Kernel.h:61
void evalTo(Dest &dst) const
Definition: Kernel.h:54
Definition: ForwardDeclarations.h:139
Matrix< typename MatrixType::Scalar, MatrixType::ColsAtCompileTime, Dynamic, MatrixType::Options, MatrixType::MaxColsAtCompileTime, MatrixType::MaxColsAtCompileTime > ReturnType
Definition: Kernel.h:34
DecompositionType::MatrixType MatrixType
Definition: Kernel.h:23
Definition: ForwardDeclarations.h:17