Eigen  3.2.7
 All Classes Namespaces Functions Variables Typedefs Enumerations Enumerator Friends Groups Pages
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 <[email protected]>
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 
13 namespace 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) \
22 template<typename OtherDerived> \
23 EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \
24 { \
25  return Base::operator Op(other.derived()); \
26 } \
27 EIGEN_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) \
33 template<typename Other> \
34 EIGEN_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) \
40 EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
41 EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
42 EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
43 EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
44 EIGEN_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 
65 const int CoherentAccessPattern = 0x1;
66 const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern;
67 const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern;
68 const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
69 
70 template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseMatrix;
71 template<typename _Scalar, int _Flags = 0, typename _Index = int> class DynamicSparseMatrix;
72 template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseVector;
73 template<typename _Scalar, int _Flags = 0, typename _Index = int> class MappedSparseMatrix;
74 
75 template<typename MatrixType, int Mode> class SparseTriangularView;
76 template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView;
77 template<typename Lhs, typename Rhs> class SparseDiagonalProduct;
78 template<typename MatrixType> class SparseView;
79 
80 template<typename Lhs, typename Rhs> class SparseSparseProduct;
81 template<typename Lhs, typename Rhs> class SparseTimeDenseProduct;
82 template<typename Lhs, typename Rhs> class DenseTimeSparseProduct;
83 template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
84 
85 template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType;
86 template<typename Lhs, typename Rhs,
87  int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct DenseSparseProductReturnType;
88 template<typename Lhs, typename Rhs,
89  int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct SparseDenseProductReturnType;
90 template<typename MatrixType,int UpLo> class SparseSymmetricPermutationProduct;
91 
92 namespace internal {
93 
94 template<typename T,int Rows,int Cols> struct sparse_eval;
95 
96 template<typename T> struct eval<T,Sparse>
97  : public sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime>
98 {};
99 
100 template<typename T,int Cols> struct sparse_eval<T,1,Cols> {
101  typedef typename traits<T>::Scalar _Scalar;
102  typedef typename traits<T>::Index _Index;
103  public:
105 };
106 
107 template<typename T,int Rows> struct sparse_eval<T,Rows,1> {
108  typedef typename traits<T>::Scalar _Scalar;
109  typedef typename traits<T>::Index _Index;
110  public:
111  typedef SparseVector<_Scalar, ColMajor, _Index> type;
112 };
113 
114 template<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 
122 template<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 
128 template<typename T> struct plain_matrix_type<T,Sparse>
129 {
130  typedef typename traits<T>::Scalar _Scalar;
131  typedef typename traits<T>::Index _Index;
132  enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
133  public:
134  typedef SparseMatrix<_Scalar, _Options, _Index> type;
135 };
136 
137 } // end namespace internal
138 
147 template<typename Scalar, typename Index=typename SparseMatrix<Scalar>::Index >
148 class Triplet
149 {
150 public:
151  Triplet() : m_row(0), m_col(0), m_value(0) {}
152 
153  Triplet(const Index& i, const Index& j, const Scalar& v = Scalar(0))
154  : m_row(i), m_col(j), m_value(v)
155  {}
156 
158  const Index& row() const { return m_row; }
159 
161  const Index& col() const { return m_col; }
162 
164  const Scalar& value() const { return m_value; }
165 protected:
166  Index m_row, m_col;
167  Scalar m_value;
168 };
169 
170 } // end namespace Eigen
171 
172 #endif // EIGEN_SPARSEUTIL_H
const Scalar & value() const
Definition: SparseUtil.h:164
Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix.
Definition: SparseSelfAdjointView.h:49
Definition: Constants.h:264
const Index & col() const
Definition: SparseUtil.h:161
a sparse vector class
Definition: SparseUtil.h:72
Definition: SparseCore:32
A small structure to hold a non zero as a triplet (i,j,value).
Definition: SparseUtil.h:148
Definition: Constants.h:266
const unsigned int RowMajorBit
Definition: Constants.h:53
Sparse matrix.
Definition: MappedSparseMatrix.h:31
const Index & row() const
Definition: SparseUtil.h:158