1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef EIGEN_DIAGONAL_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_DIAGONAL_H
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class Diagonal
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Expression of a diagonal/subdiagonal/superdiagonal in a matrix
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param MatrixType the type of the object in which we are taking a sub/main/super diagonal
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param DiagIndex the index of the sub/super diagonal. The default is 0 and it means the main diagonal.
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *              A positive value means a superdiagonal, a negative value means a subdiagonal.
242b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  *              You can also use DynamicIndex so the index can be set at runtime.
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The matrix is not required to be square.
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class represents an expression of the main diagonal, or any sub/super diagonal
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * of a square matrix. It is the return type of MatrixBase::diagonal() and MatrixBase::diagonal(Index) and most of the
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * time this is the only way it is used.
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa MatrixBase::diagonal(), MatrixBase::diagonal(Index)
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType, int DiagIndex>
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<Diagonal<MatrixType,DiagIndex> >
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath : traits<MatrixType>
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
402b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::StorageKind StorageKind;
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
447faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    RowsAtCompileTime = (int(DiagIndex) == DynamicIndex || int(MatrixType::SizeAtCompileTime) == Dynamic) ? Dynamic
457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                      : (EIGEN_PLAIN_ENUM_MIN(MatrixType::RowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
467faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                                              MatrixType::ColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ColsAtCompileTime = 1,
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
497faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                         : DiagIndex == DynamicIndex ? EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime,
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                                                                              MatrixType::MaxColsAtCompileTime)
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                         : (EIGEN_PLAIN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                                                 MatrixType::MaxColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaxColsAtCompileTime = 1,
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
552b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    Flags = (unsigned int)_MatrixTypeNested::Flags & (RowMajorBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit, // FIXME DirectAccessBit should not be handled by expressions
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixTypeOuterStride = outer_stride_at_compile_time<MatrixType>::ret,
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    InnerStrideAtCompileTime = MatrixTypeOuterStride == Dynamic ? Dynamic : MatrixTypeOuterStride+1,
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    OuterStrideAtCompileTime = 0
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
637faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztemplate<typename MatrixType, int _DiagIndex> class Diagonal
647faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez   : public internal::dense_xpr_base< Diagonal<MatrixType,_DiagIndex> >::type
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
687faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    enum { DiagIndex = _DiagIndex };
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename internal::dense_xpr_base<Diagonal>::type Base;
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_DENSE_PUBLIC_INTERFACE(Diagonal)
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
722b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
732b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    explicit inline Diagonal(MatrixType& matrix, Index a_index = DiagIndex) : m_matrix(matrix), m_index(a_index) {}
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Diagonal)
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
772b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index rows() const
792b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    {
802b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang      return m_index.value()<0 ? numext::mini<Index>(m_matrix.cols(),m_matrix.rows()+m_index.value())
812b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang                               : numext::mini<Index>(m_matrix.rows(),m_matrix.cols()-m_index.value());
822b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    }
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
842b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index cols() const { return 1; }
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
872b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index innerStride() const
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix.outerStride() + 1;
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
932b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index outerStride() const
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return 0;
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename internal::conditional<
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                       internal::is_lvalue<MatrixType>::value,
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                       Scalar,
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                       const Scalar
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     >::type ScalarWithConstIfNotLvalue;
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1052b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1062b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    inline ScalarWithConstIfNotLvalue* data() { return &(m_matrix.coeffRef(rowOffset(), colOffset())); }
1072b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1082b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    inline const Scalar* data() const { return &(m_matrix.coeffRef(rowOffset(), colOffset())); }
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1102b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Scalar& coeffRef(Index row, Index)
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
1142b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang      return m_matrix.coeffRef(row+rowOffset(), row+colOffset());
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1172b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline const Scalar& coeffRef(Index row, Index) const
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
1202b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang      return m_matrix.coeffRef(row+rowOffset(), row+colOffset());
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1232b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline CoeffReturnType coeff(Index row, Index) const
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix.coeff(row+rowOffset(), row+colOffset());
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1292b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1307faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline Scalar& coeffRef(Index idx)
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
1332b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang      return m_matrix.coeffRef(idx+rowOffset(), idx+colOffset());
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1362b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1377faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline const Scalar& coeffRef(Index idx) const
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
1392b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang      return m_matrix.coeffRef(idx+rowOffset(), idx+colOffset());
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1422b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1437faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline CoeffReturnType coeff(Index idx) const
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
1457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      return m_matrix.coeff(idx+rowOffset(), idx+colOffset());
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1482b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1492b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    inline const typename internal::remove_all<typename MatrixType::Nested>::type&
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    nestedExpression() const
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix;
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1552b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
1562b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    inline Index index() const
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_index.value();
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
1622b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    typename internal::ref_selector<MatrixType>::non_const_type m_matrix;
1637faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    const internal::variable_if_dynamicindex<Index, DiagIndex> m_index;
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  private:
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // some compilers may fail to optimize std::max etc in case of compile-time constants...
1672b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index absDiagIndex() const { return m_index.value()>0 ? m_index.value() : -m_index.value(); }
1692b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
170c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value()>0 ? 0 : -m_index.value(); }
1712b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    EIGEN_DEVICE_FUNC
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value()>0 ? m_index.value() : 0; }
1732b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    // trigger a compile-time error if someone try to call packet
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index) const;
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index,Index) const;
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns an expression of the main diagonal of the matrix \c *this
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \c *this is not required to be square.
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include MatrixBase_diagonal.cpp
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude MatrixBase_diagonal.out
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa class Diagonal */
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline typename MatrixBase<Derived>::DiagonalReturnType
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal()
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
1902b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  return DiagonalReturnType(derived());
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
193c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** This is the const version of diagonal(). */
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
1957faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezinline typename MatrixBase<Derived>::ConstDiagonalReturnType
196c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal() const
197c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return ConstDiagonalReturnType(derived());
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
201c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \c *this is not required to be square.
204c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include MatrixBase_diagonal_int.cpp
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude MatrixBase_diagonal_int.out
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa MatrixBase::diagonal(), class Diagonal */
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
213615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murrayinline typename MatrixBase<Derived>::DiagonalDynamicIndexReturnType
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal(Index index)
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
216615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murray  return DiagonalDynamicIndexReturnType(derived(), index);
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
219c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** This is the const version of diagonal(Index). */
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
221615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murrayinline typename MatrixBase<Derived>::ConstDiagonalDynamicIndexReturnType
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal(Index index) const
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
224615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murray  return ConstDiagonalDynamicIndexReturnType(derived(), index);
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
226c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
227c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
228c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
229c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \c *this is not required to be square.
230c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
231c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
232c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
233c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
234c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include MatrixBase_diagonal_template_int.cpp
235c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude MatrixBase_diagonal_template_int.out
236c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
237c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa MatrixBase::diagonal(), class Diagonal */
238c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
2392b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangtemplate<int Index_>
2402b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wanginline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Index_>::Type
241c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal()
242c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
2432b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  return typename DiagonalIndexReturnType<Index_>::Type(derived());
244c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
245c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
246c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** This is the const version of diagonal<int>(). */
247c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
2482b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangtemplate<int Index_>
2492b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wanginline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Index_>::Type
250c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal() const
251c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
2522b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  return typename ConstDiagonalIndexReturnType<Index_>::Type(derived());
253c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
254c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
255c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
256c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
257c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_DIAGONAL_H
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