1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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_VECTORBLOCK_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_VECTORBLOCK_H
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class VectorBlock
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Expression of a fixed-size or dynamic-size sub-vector
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param VectorType the type of the object in which we are taking a sub-vector
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param Size size of the sub-vector we are taking at compile time (optional)
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class represents an expression of either a fixed-size or dynamic-size sub-vector.
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * It is the return type of DenseBase::segment(Index,Index) and DenseBase::segment<int>(Index) and
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * most of the time this is the only way it is used.
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * However, if you want to directly maniputate sub-vector expressions,
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * for instance if you want to write a function returning such an expression, you
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * will need to use this class.
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Here is an example illustrating the dynamic case:
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \include class_VectorBlock.cpp
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude class_VectorBlock.out
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \note Even though this expression has dynamic size, in the case where \a VectorType
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * has fixed size, this expression inherits a fixed maximal size which means that evaluating
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * it does not cause a dynamic memory allocation.
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Here is an example illustrating the fixed-size case:
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \include class_FixedVectorBlock.cpp
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude class_FixedVectorBlock.out
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa class Block, DenseBase::segment(Index,Index,Index,Index), DenseBase::segment(Index,Index)
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename VectorType, int Size>
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<VectorBlock<VectorType, Size> >
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : public traits<Block<VectorType,
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     traits<VectorType>::Flags & RowMajorBit ? 1 : Size,
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     traits<VectorType>::Flags & RowMajorBit ? Size : 1> >
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename VectorType, int Size> class VectorBlock
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : public Block<VectorType,
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     internal::traits<VectorType>::Flags & RowMajorBit ? 1 : Size,
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     internal::traits<VectorType>::Flags & RowMajorBit ? Size : 1>
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef Block<VectorType,
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     internal::traits<VectorType>::Flags & RowMajorBit ? 1 : Size,
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     internal::traits<VectorType>::Flags & RowMajorBit ? Size : 1> Base;
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    enum {
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      IsColVector = !(internal::traits<VectorType>::Flags & RowMajorBit)
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    };
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_DENSE_PUBLIC_INTERFACE(VectorBlock)
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    using Base::operator=;
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    /** Dynamic-size constructor
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      */
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline VectorBlock(VectorType& vector, Index start, Index size)
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : Base(vector,
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             IsColVector ? start : 0, IsColVector ? 0 : start,
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             IsColVector ? size  : 1, IsColVector ? 1 : size)
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorBlock);
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    /** Fixed-size constructor
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      */
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline VectorBlock(VectorType& vector, Index start)
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : Base(vector, IsColVector ? start : 0, IsColVector ? 0 : start)
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorBlock);
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_VECTORBLOCK_H
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