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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Eigen/Eigen/src/Core/Diagonal.h @ 10617

Last change on this file since 10617 was 9562, checked in by gkronber, 12 years ago

#1967 worked on Gaussian process evolution.

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1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
5// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
6//
7// This Source Code Form is subject to the terms of the Mozilla
8// Public License v. 2.0. If a copy of the MPL was not distributed
9// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10
11#ifndef EIGEN_DIAGONAL_H
12#define EIGEN_DIAGONAL_H
13
14namespace Eigen {
15
16/** \class Diagonal
17  * \ingroup Core_Module
18  *
19  * \brief Expression of a diagonal/subdiagonal/superdiagonal in a matrix
20  *
21  * \param MatrixType the type of the object in which we are taking a sub/main/super diagonal
22  * \param DiagIndex the index of the sub/super diagonal. The default is 0 and it means the main diagonal.
23  *              A positive value means a superdiagonal, a negative value means a subdiagonal.
24  *              You can also use Dynamic so the index can be set at runtime.
25  *
26  * The matrix is not required to be square.
27  *
28  * This class represents an expression of the main diagonal, or any sub/super diagonal
29  * of a square matrix. It is the return type of MatrixBase::diagonal() and MatrixBase::diagonal(Index) and most of the
30  * time this is the only way it is used.
31  *
32  * \sa MatrixBase::diagonal(), MatrixBase::diagonal(Index)
33  */
34
35namespace internal {
36template<typename MatrixType, int DiagIndex>
37struct traits<Diagonal<MatrixType,DiagIndex> >
38 : traits<MatrixType>
39{
40  typedef typename nested<MatrixType>::type MatrixTypeNested;
41  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
42  typedef typename MatrixType::StorageKind StorageKind;
43  enum {
44    RowsAtCompileTime = (int(DiagIndex) == Dynamic || int(MatrixType::SizeAtCompileTime) == Dynamic) ? Dynamic
45    : (EIGEN_PLAIN_ENUM_MIN(MatrixType::RowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
46                            MatrixType::ColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
47    ColsAtCompileTime = 1,
48    MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
49                         : DiagIndex == Dynamic ? EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime,
50                                                                              MatrixType::MaxColsAtCompileTime)
51                         : (EIGEN_PLAIN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
52                                                 MatrixType::MaxColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
53    MaxColsAtCompileTime = 1,
54    MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
55    Flags = (unsigned int)_MatrixTypeNested::Flags & (HereditaryBits | LinearAccessBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit,
56    CoeffReadCost = _MatrixTypeNested::CoeffReadCost,
57    MatrixTypeOuterStride = outer_stride_at_compile_time<MatrixType>::ret,
58    InnerStrideAtCompileTime = MatrixTypeOuterStride == Dynamic ? Dynamic : MatrixTypeOuterStride+1,
59    OuterStrideAtCompileTime = 0
60  };
61};
62}
63
64template<typename MatrixType, int DiagIndex> class Diagonal
65   : public internal::dense_xpr_base< Diagonal<MatrixType,DiagIndex> >::type
66{
67  public:
68
69    typedef typename internal::dense_xpr_base<Diagonal>::type Base;
70    EIGEN_DENSE_PUBLIC_INTERFACE(Diagonal)
71
72    inline Diagonal(MatrixType& matrix, Index index = DiagIndex) : m_matrix(matrix), m_index(index) {}
73
74    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Diagonal)
75
76    inline Index rows() const
77    { return m_index.value()<0 ? (std::min)(m_matrix.cols(),m_matrix.rows()+m_index.value()) : (std::min)(m_matrix.rows(),m_matrix.cols()-m_index.value()); }
78
79    inline Index cols() const { return 1; }
80
81    inline Index innerStride() const
82    {
83      return m_matrix.outerStride() + 1;
84    }
85
86    inline Index outerStride() const
87    {
88      return 0;
89    }
90
91    typedef typename internal::conditional<
92                       internal::is_lvalue<MatrixType>::value,
93                       Scalar,
94                       const Scalar
95                     >::type ScalarWithConstIfNotLvalue;
96
97    inline ScalarWithConstIfNotLvalue* data() { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
98    inline const Scalar* data() const { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
99
100    inline Scalar& coeffRef(Index row, Index)
101    {
102      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
103      return m_matrix.const_cast_derived().coeffRef(row+rowOffset(), row+colOffset());
104    }
105
106    inline const Scalar& coeffRef(Index row, Index) const
107    {
108      return m_matrix.const_cast_derived().coeffRef(row+rowOffset(), row+colOffset());
109    }
110
111    inline CoeffReturnType coeff(Index row, Index) const
112    {
113      return m_matrix.coeff(row+rowOffset(), row+colOffset());
114    }
115
116    inline Scalar& coeffRef(Index index)
117    {
118      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
119      return m_matrix.const_cast_derived().coeffRef(index+rowOffset(), index+colOffset());
120    }
121
122    inline const Scalar& coeffRef(Index index) const
123    {
124      return m_matrix.const_cast_derived().coeffRef(index+rowOffset(), index+colOffset());
125    }
126
127    inline CoeffReturnType coeff(Index index) const
128    {
129      return m_matrix.coeff(index+rowOffset(), index+colOffset());
130    }
131
132    const typename internal::remove_all<typename MatrixType::Nested>::type&
133    nestedExpression() const
134    {
135      return m_matrix;
136    }
137
138    int index() const
139    {
140      return m_index.value();
141    }
142
143  protected:
144    typename MatrixType::Nested m_matrix;
145    const internal::variable_if_dynamic<Index, DiagIndex> m_index;
146
147  private:
148    // some compilers may fail to optimize std::max etc in case of compile-time constants...
149    EIGEN_STRONG_INLINE Index absDiagIndex() const { return m_index.value()>0 ? m_index.value() : -m_index.value(); }
150    EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value()>0 ? 0 : -m_index.value(); }
151    EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value()>0 ? m_index.value() : 0; }
152    // triger a compile time error is someone try to call packet
153    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index) const;
154    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index,Index) const;
155};
156
157/** \returns an expression of the main diagonal of the matrix \c *this
158  *
159  * \c *this is not required to be square.
160  *
161  * Example: \include MatrixBase_diagonal.cpp
162  * Output: \verbinclude MatrixBase_diagonal.out
163  *
164  * \sa class Diagonal */
165template<typename Derived>
166inline typename MatrixBase<Derived>::DiagonalReturnType
167MatrixBase<Derived>::diagonal()
168{
169  return derived();
170}
171
172/** This is the const version of diagonal(). */
173template<typename Derived>
174inline const typename MatrixBase<Derived>::ConstDiagonalReturnType
175MatrixBase<Derived>::diagonal() const
176{
177  return ConstDiagonalReturnType(derived());
178}
179
180/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
181  *
182  * \c *this is not required to be square.
183  *
184  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
185  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
186  *
187  * Example: \include MatrixBase_diagonal_int.cpp
188  * Output: \verbinclude MatrixBase_diagonal_int.out
189  *
190  * \sa MatrixBase::diagonal(), class Diagonal */
191template<typename Derived>
192inline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Dynamic>::Type
193MatrixBase<Derived>::diagonal(Index index)
194{
195  return typename DiagonalIndexReturnType<Dynamic>::Type(derived(), index);
196}
197
198/** This is the const version of diagonal(Index). */
199template<typename Derived>
200inline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Dynamic>::Type
201MatrixBase<Derived>::diagonal(Index index) const
202{
203  return typename ConstDiagonalIndexReturnType<Dynamic>::Type(derived(), index);
204}
205
206/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
207  *
208  * \c *this is not required to be square.
209  *
210  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
211  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
212  *
213  * Example: \include MatrixBase_diagonal_template_int.cpp
214  * Output: \verbinclude MatrixBase_diagonal_template_int.out
215  *
216  * \sa MatrixBase::diagonal(), class Diagonal */
217template<typename Derived>
218template<int Index>
219inline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Index>::Type
220MatrixBase<Derived>::diagonal()
221{
222  return derived();
223}
224
225/** This is the const version of diagonal<int>(). */
226template<typename Derived>
227template<int Index>
228inline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Index>::Type
229MatrixBase<Derived>::diagonal() const
230{
231  return derived();
232}
233
234} // end namespace Eigen
235
236#endif // EIGEN_DIAGONAL_H
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