Eigen  3.4.90 (git rev 5a9f66fb35d03a4da9ef8976e67a61b30aa16dcf)
 
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SparseView.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2011-2014 Gael Guennebaud <[email protected]>
5// Copyright (C) 2010 Daniel Lowengrub <[email protected]>
6//
7// This Source Code Form is subject to the terms of the Mozilla
8// Public License v. 2.0. If a copy of the MPL was not distributed
9// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10
11#ifndef EIGEN_SPARSEVIEW_H
12#define EIGEN_SPARSEVIEW_H
13
14// IWYU pragma: private
15#include "./InternalHeaderCheck.h"
16
17namespace Eigen {
18
19namespace internal {
20
21template <typename MatrixType>
22struct traits<SparseView<MatrixType> > : traits<MatrixType> {
23 typedef typename MatrixType::StorageIndex StorageIndex;
24 typedef Sparse StorageKind;
25 enum { Flags = int(traits<MatrixType>::Flags) & (RowMajorBit) };
26};
27
28} // end namespace internal
29
44template <typename MatrixType>
45class SparseView : public SparseMatrixBase<SparseView<MatrixType> > {
46 typedef typename MatrixType::Nested MatrixTypeNested;
47 typedef internal::remove_all_t<MatrixTypeNested> MatrixTypeNested_;
49
50 public:
51 EIGEN_SPARSE_PUBLIC_INTERFACE(SparseView)
52 typedef internal::remove_all_t<MatrixType> NestedExpression;
53
54 explicit SparseView(const MatrixType& mat, const Scalar& reference = Scalar(0),
55 const RealScalar& epsilon = NumTraits<Scalar>::dummy_precision())
56 : m_matrix(mat), m_reference(reference), m_epsilon(epsilon) {}
57
58 inline Index rows() const { return m_matrix.rows(); }
59 inline Index cols() const { return m_matrix.cols(); }
60
61 inline Index innerSize() const { return m_matrix.innerSize(); }
62 inline Index outerSize() const { return m_matrix.outerSize(); }
63
65 const internal::remove_all_t<MatrixTypeNested>& nestedExpression() const { return m_matrix; }
66
67 Scalar reference() const { return m_reference; }
68 RealScalar epsilon() const { return m_epsilon; }
69
70 protected:
71 MatrixTypeNested m_matrix;
72 Scalar m_reference;
73 RealScalar m_epsilon;
74};
75
76namespace internal {
77
78// TODO find a way to unify the two following variants
79// This is tricky because implementing an inner iterator on top of an IndexBased evaluator is
80// not easy because the evaluators do not expose the sizes of the underlying expression.
81
82template <typename ArgType>
83struct unary_evaluator<SparseView<ArgType>, IteratorBased> : public evaluator_base<SparseView<ArgType> > {
84 typedef typename evaluator<ArgType>::InnerIterator EvalIterator;
85
86 public:
87 typedef SparseView<ArgType> XprType;
88
89 class InnerIterator : public EvalIterator {
90 protected:
91 typedef typename XprType::Scalar Scalar;
92
93 public:
94 EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& sve, Index outer)
95 : EvalIterator(sve.m_argImpl, outer), m_view(sve.m_view) {
96 incrementToNonZero();
97 }
98
99 EIGEN_STRONG_INLINE InnerIterator& operator++() {
100 EvalIterator::operator++();
101 incrementToNonZero();
102 return *this;
103 }
104
105 using EvalIterator::value;
106
107 protected:
108 const XprType& m_view;
109
110 private:
111 void incrementToNonZero() {
112 while ((bool(*this)) && internal::isMuchSmallerThan(value(), m_view.reference(), m_view.epsilon())) {
113 EvalIterator::operator++();
114 }
115 }
116 };
117
118 enum { CoeffReadCost = evaluator<ArgType>::CoeffReadCost, Flags = XprType::Flags };
119
120 explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_view(xpr) {}
121
122 protected:
123 evaluator<ArgType> m_argImpl;
124 const XprType& m_view;
125};
126
127template <typename ArgType>
128struct unary_evaluator<SparseView<ArgType>, IndexBased> : public evaluator_base<SparseView<ArgType> > {
129 public:
130 typedef SparseView<ArgType> XprType;
131
132 protected:
133 enum { IsRowMajor = (XprType::Flags & RowMajorBit) == RowMajorBit };
134 typedef typename XprType::Scalar Scalar;
135 typedef typename XprType::StorageIndex StorageIndex;
136
137 public:
138 class InnerIterator {
139 public:
140 EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& sve, Index outer)
141 : m_sve(sve), m_inner(0), m_outer(outer), m_end(sve.m_view.innerSize()) {
142 incrementToNonZero();
143 }
144
145 EIGEN_STRONG_INLINE InnerIterator& operator++() {
146 m_inner++;
147 incrementToNonZero();
148 return *this;
149 }
150
151 EIGEN_STRONG_INLINE Scalar value() const {
152 return (IsRowMajor) ? m_sve.m_argImpl.coeff(m_outer, m_inner) : m_sve.m_argImpl.coeff(m_inner, m_outer);
153 }
154
155 EIGEN_STRONG_INLINE StorageIndex index() const { return m_inner; }
156 inline Index row() const { return IsRowMajor ? m_outer : index(); }
157 inline Index col() const { return IsRowMajor ? index() : m_outer; }
158
159 EIGEN_STRONG_INLINE operator bool() const { return m_inner < m_end && m_inner >= 0; }
160
161 protected:
162 const unary_evaluator& m_sve;
163 Index m_inner;
164 const Index m_outer;
165 const Index m_end;
166
167 private:
168 void incrementToNonZero() {
169 while ((bool(*this)) && internal::isMuchSmallerThan(value(), m_sve.m_view.reference(), m_sve.m_view.epsilon())) {
170 m_inner++;
171 }
172 }
173 };
174
175 enum { CoeffReadCost = evaluator<ArgType>::CoeffReadCost, Flags = XprType::Flags };
176
177 explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_view(xpr) {}
178
179 protected:
180 evaluator<ArgType> m_argImpl;
181 const XprType& m_view;
182};
183
184} // end namespace internal
185
200template <typename Derived>
202 const typename NumTraits<Scalar>::Real& epsilon) const {
203 return SparseView<Derived>(derived(), reference, epsilon);
204}
205
218template <typename Derived>
219const SparseView<Derived> SparseMatrixBase<Derived>::pruned(const Scalar& reference, const RealScalar& epsilon) const {
220 return SparseView<Derived>(derived(), reference, epsilon);
221}
222
223} // end namespace Eigen
224
225#endif
internal::traits< Derived >::Scalar Scalar
Definition DenseBase.h:62
Base class for all dense matrices, vectors, and expressions.
Definition MatrixBase.h:52
Base class of any sparse matrices or sparse expressions.
Definition SparseMatrixBase.h:30
Expression of a dense or sparse matrix with zero or too small values removed.
Definition SparseView.h:45
const internal::remove_all_t< MatrixTypeNested > & nestedExpression() const
Definition SparseView.h:65
const unsigned int RowMajorBit
Definition Constants.h:70
Namespace containing all symbols from the Eigen library.
Definition Core:137
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition Meta.h:83
Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
Definition Meta.h:523