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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Eigen/Eigen/src/misc/Image.h @ 9562

Last change on this file since 9562 was 9562, checked in by gkronber, 11 years ago

#1967 worked on Gaussian process evolution.

File size: 2.9 KB
Line 
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_IMAGE_H
11#define EIGEN_MISC_IMAGE_H
12
13namespace Eigen {
14
15namespace internal {
16
17/** \class image_retval_base
18  *
19  */
20template<typename DecompositionType>
21struct traits<image_retval_base<DecompositionType> >
22{
23  typedef typename DecompositionType::MatrixType MatrixType;
24  typedef Matrix<
25    typename MatrixType::Scalar,
26    MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose
27                                   // dimension is the number of rows of the original matrix
28    Dynamic,                       // we don't know at compile time the dimension of the image (the rank)
29    MatrixType::Options,
30    MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
31    MatrixType::MaxColsAtCompileTime  // so it has the same number of rows and at most as many columns.
32  > ReturnType;
33};
34
35template<typename _DecompositionType> struct image_retval_base
36 : public ReturnByValue<image_retval_base<_DecompositionType> >
37{
38  typedef _DecompositionType DecompositionType;
39  typedef typename DecompositionType::MatrixType MatrixType;
40  typedef ReturnByValue<image_retval_base> Base;
41  typedef typename Base::Index Index;
42
43  image_retval_base(const DecompositionType& dec, const MatrixType& originalMatrix)
44    : m_dec(dec), m_rank(dec.rank()),
45      m_cols(m_rank == 0 ? 1 : m_rank),
46      m_originalMatrix(originalMatrix)
47  {}
48
49  inline Index rows() const { return m_dec.rows(); }
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  inline const MatrixType& originalMatrix() const { return m_originalMatrix; }
54
55  template<typename Dest> inline void evalTo(Dest& dst) const
56  {
57    static_cast<const image_retval<DecompositionType>*>(this)->evalTo(dst);
58  }
59
60  protected:
61    const DecompositionType& m_dec;
62    Index m_rank, m_cols;
63    const MatrixType& m_originalMatrix;
64};
65
66} // end namespace internal
67
68#define EIGEN_MAKE_IMAGE_HELPERS(DecompositionType) \
69  typedef typename DecompositionType::MatrixType MatrixType; \
70  typedef typename MatrixType::Scalar Scalar; \
71  typedef typename MatrixType::RealScalar RealScalar; \
72  typedef typename MatrixType::Index Index; \
73  typedef Eigen::internal::image_retval_base<DecompositionType> Base; \
74  using Base::dec; \
75  using Base::originalMatrix; \
76  using Base::rank; \
77  using Base::rows; \
78  using Base::cols; \
79  image_retval(const DecompositionType& dec, const MatrixType& originalMatrix) \
80    : Base(dec, originalMatrix) {}
81
82} // end namespace Eigen
83
84#endif // EIGEN_MISC_IMAGE_H
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