SparseUtil.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2008 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_SPARSEUTIL_H
11#define EIGEN_SPARSEUTIL_H
12
13namespace Eigen {
14
15#ifdef NDEBUG
16#define EIGEN_DBG_SPARSE(X)
17#else
18#define EIGEN_DBG_SPARSE(X) X
19#endif
20
21#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
22template<typename OtherDerived> \
23EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \
24{ \
25 return Base::operator Op(other.derived()); \
26} \
27EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \
28{ \
29 return Base::operator Op(other); \
30}
31
32#define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
33template<typename Other> \
34EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \
35{ \
36 return Base::operator Op(scalar); \
37}
38
39#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
40EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
41EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
42EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
43EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
44EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
45
46#define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \
47 typedef BaseClass Base; \
48 typedef typename Eigen::internal::traits<Derived >::Scalar Scalar; \
49 typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \
50 typedef typename Eigen::internal::nested<Derived >::type Nested; \
51 typedef typename Eigen::internal::traits<Derived >::StorageKind StorageKind; \
52 typedef typename Eigen::internal::traits<Derived >::Index Index; \
53 enum { RowsAtCompileTime = Eigen::internal::traits<Derived >::RowsAtCompileTime, \
54 ColsAtCompileTime = Eigen::internal::traits<Derived >::ColsAtCompileTime, \
55 Flags = Eigen::internal::traits<Derived >::Flags, \
56 CoeffReadCost = Eigen::internal::traits<Derived >::CoeffReadCost, \
57 SizeAtCompileTime = Base::SizeAtCompileTime, \
58 IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
59 using Base::derived; \
60 using Base::const_cast_derived;
61
62#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \
63 _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived >)
64
65const int CoherentAccessPattern = 0x1;
66const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern;
67const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern;
68const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
69
70template<typename Derived> class SparseMatrixBase;
71template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseMatrix;
72template<typename _Scalar, int _Flags = 0, typename _Index = int> class DynamicSparseMatrix;
73template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseVector;
74template<typename _Scalar, int _Flags = 0, typename _Index = int> class MappedSparseMatrix;
75
76template<typename MatrixType, int Size> class SparseInnerVectorSet;
77template<typename MatrixType, int Mode> class SparseTriangularView;
78template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView;
79template<typename Lhs, typename Rhs> class SparseDiagonalProduct;
80template<typename MatrixType> class SparseView;
81
82template<typename Lhs, typename Rhs> class SparseSparseProduct;
83template<typename Lhs, typename Rhs> class SparseTimeDenseProduct;
84template<typename Lhs, typename Rhs> class DenseTimeSparseProduct;
85template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
86
87template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType;
88template<typename Lhs, typename Rhs, int InnerSize = internal::traits<Lhs>::ColsAtCompileTime> struct DenseSparseProductReturnType;
89template<typename Lhs, typename Rhs, int InnerSize = internal::traits<Lhs>::ColsAtCompileTime> struct SparseDenseProductReturnType;
90template<typename MatrixType,int UpLo> class SparseSymmetricPermutationProduct;
91
92namespace internal {
93
94template<typename T,int Rows,int Cols> struct sparse_eval;
95
96template<typename T> struct eval<T,Sparse>
97 : public sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime>
98{};
99
100template<typename T,int Cols> struct sparse_eval<T,1,Cols> {
101 typedef typename traits<T>::Scalar _Scalar;
102 enum { _Flags = traits<T>::Flags| RowMajorBit };
103 public:
104 typedef SparseVector<_Scalar, _Flags> type;
105};
106
107template<typename T,int Rows> struct sparse_eval<T,Rows,1> {
108 typedef typename traits<T>::Scalar _Scalar;
109 enum { _Flags = traits<T>::Flags & (~RowMajorBit) };
110 public:
111 typedef SparseVector<_Scalar, _Flags> type;
112};
113
114template<typename T,int Rows,int Cols> struct sparse_eval {
115 typedef typename traits<T>::Scalar _Scalar;
116 typedef typename traits<T>::Index _Index;
117 enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
118 public:
119 typedef SparseMatrix<_Scalar, _Options, _Index> type;
120};
121
122template<typename T> struct sparse_eval<T,1,1> {
123 typedef typename traits<T>::Scalar _Scalar;
124 public:
125 typedef Matrix<_Scalar, 1, 1> type;
126};
127
128template<typename T> struct plain_matrix_type<T,Sparse>
129{
130 typedef typename traits<T>::Scalar _Scalar;
131 enum {
132 _Flags = traits<T>::Flags
133 };
134
135 public:
136 typedef SparseMatrix<_Scalar, _Flags> type;
137};
138
139} // end namespace internal
140
149template<typename Scalar, typename Index=unsigned int>
150class Triplet
151{
152public:
153 Triplet() : m_row(0), m_col(0), m_value(0) {}
154
155 Triplet(const Index& i, const Index& j, const Scalar& v = Scalar(0))
156 : m_row(i), m_col(j), m_value(v)
157 {}
158
160 const Index& row() const { return m_row; }
161
163 const Index& col() const { return m_col; }
164
166 const Scalar& value() const { return m_value; }
167protected:
168 Index m_row, m_col;
169 Scalar m_value;
170};
171
172} // end namespace Eigen
173
174#endif // EIGEN_SPARSEUTIL_H
Sparse matrix.
Definition MappedSparseMatrix.h:33
Base class of any sparse matrices or sparse expressions.
Definition SparseMatrixBase.h:27
A versatible sparse matrix representation.
Definition SparseMatrix.h:87
Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix.
Definition SparseSelfAdjointView.h:51
a sparse vector class
Definition SparseVector.h:53
const Scalar & value() const
Definition SparseUtil.h:166
const Index & row() const
Definition SparseUtil.h:160
const Index & col() const
Definition SparseUtil.h:163
@ RowMajor
Definition Constants.h:259
@ ColMajor
Definition Constants.h:257
const unsigned int RowMajorBit
Definition Constants.h:48
Definition LDLT.h:18