BlockOfDynamicSparseMatrix.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
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_SPARSE_BLOCKFORDYNAMICMATRIX_H
11#define EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
12
13namespace Eigen {
14
15/***************************************************************************
16* specialisation for DynamicSparseMatrix
17***************************************************************************/
18
19template<typename _Scalar, int _Options, typename _Index, int Size>
20class SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size>
21 : public SparseMatrixBase<SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size> >
22{
23 typedef DynamicSparseMatrix<_Scalar, _Options, _Index> MatrixType;
24 public:
25
26 enum { IsRowMajor = internal::traits<SparseInnerVectorSet>::IsRowMajor };
27
28 EIGEN_SPARSE_PUBLIC_INTERFACE(SparseInnerVectorSet)
29 class InnerIterator: public MatrixType::InnerIterator
30 {
31 public:
32 inline InnerIterator(const SparseInnerVectorSet& xpr, Index outer)
33 : MatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
34 {}
35 inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
36 inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
37 protected:
38 Index m_outer;
39 };
40
41 inline SparseInnerVectorSet(const MatrixType& matrix, Index outerStart, Index outerSize)
42 : m_matrix(matrix), m_outerStart(outerStart), m_outerSize(outerSize)
43 {
44 eigen_assert( (outerStart>=0) && ((outerStart+outerSize)<=matrix.outerSize()) );
45 }
46
47 inline SparseInnerVectorSet(const MatrixType& matrix, Index outer)
48 : m_matrix(matrix), m_outerStart(outer), m_outerSize(Size)
49 {
50 eigen_assert(Size!=Dynamic);
51 eigen_assert( (outer>=0) && (outer<matrix.outerSize()) );
52 }
53
54 template<typename OtherDerived>
55 inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
56 {
57 if (IsRowMajor != ((OtherDerived::Flags&RowMajorBit)==RowMajorBit))
58 {
59 // need to transpose => perform a block evaluation followed by a big swap
60 DynamicSparseMatrix<Scalar,IsRowMajor?RowMajorBit:0> aux(other);
61 *this = aux.markAsRValue();
62 }
63 else
64 {
65 // evaluate/copy vector per vector
66 for (Index j=0; j<m_outerSize.value(); ++j)
67 {
68 SparseVector<Scalar,IsRowMajor ? RowMajorBit : 0> aux(other.innerVector(j));
69 m_matrix.const_cast_derived()._data()[m_outerStart+j].swap(aux._data());
70 }
71 }
72 return *this;
73 }
74
75 inline SparseInnerVectorSet& operator=(const SparseInnerVectorSet& other)
76 {
77 return operator=<SparseInnerVectorSet>(other);
78 }
79
80 Index nonZeros() const
81 {
82 Index count = 0;
83 for (Index j=0; j<m_outerSize.value(); ++j)
84 count += m_matrix._data()[m_outerStart+j].size();
85 return count;
86 }
87
88 const Scalar& lastCoeff() const
89 {
90 EIGEN_STATIC_ASSERT_VECTOR_ONLY(SparseInnerVectorSet);
91 eigen_assert(m_matrix.data()[m_outerStart].size()>0);
92 return m_matrix.data()[m_outerStart].vale(m_matrix.data()[m_outerStart].size()-1);
93 }
94
95// template<typename Sparse>
96// inline SparseInnerVectorSet& operator=(const SparseMatrixBase<OtherDerived>& other)
97// {
98// return *this;
99// }
100
101 EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
102 EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
103
104 protected:
105
106 const typename MatrixType::Nested m_matrix;
107 Index m_outerStart;
108 const internal::variable_if_dynamic<Index, Size> m_outerSize;
109
110};
111
112} // end namespace Eigen
113
114#endif // EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
A sparse matrix class designed for matrix assembly purpose.
Definition DynamicSparseMatrix.h:58