Medial Code Documentation
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Fuzzy.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
5// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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_FUZZY_H
12#define EIGEN_FUZZY_H
13
14namespace Eigen {
15
16namespace internal
17{
18
19template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
21{
22 EIGEN_DEVICE_FUNC
23 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
24 {
27 return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * numext::mini(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
28 }
29};
30
31template<typename Derived, typename OtherDerived>
33{
34 EIGEN_DEVICE_FUNC
35 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar&)
36 {
37 return x.matrix() == y.matrix();
38 }
39};
40
43{
44 EIGEN_DEVICE_FUNC
45 static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
46 {
47 return x.cwiseAbs2().sum() <= numext::abs2(prec) * y.cwiseAbs2().sum();
48 }
49};
50
51template<typename Derived, typename OtherDerived>
53{
54 EIGEN_DEVICE_FUNC
55 static bool run(const Derived& x, const OtherDerived&, const typename Derived::RealScalar&)
56 {
57 return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
58 }
59};
60
63{
64 EIGEN_DEVICE_FUNC
65 static bool run(const Derived& x, const typename Derived::RealScalar& y, const typename Derived::RealScalar& prec)
66 {
67 return x.cwiseAbs2().sum() <= numext::abs2(prec * y);
68 }
69};
70
71template<typename Derived>
73{
74 EIGEN_DEVICE_FUNC
75 static bool run(const Derived& x, const typename Derived::RealScalar&, const typename Derived::RealScalar&)
76 {
77 return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
78 }
79};
80
81} // end namespace internal
82
83
101template<typename Derived>
102template<typename OtherDerived>
103EIGEN_DEVICE_FUNC bool DenseBase<Derived>::isApprox(
104 const DenseBase<OtherDerived>& other,
105 const RealScalar& prec
106) const
107{
108 return internal::isApprox_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
109}
110
124template<typename Derived>
126 const typename NumTraits<Scalar>::Real& other,
127 const RealScalar& prec
128) const
129{
131}
132
143template<typename Derived>
144template<typename OtherDerived>
146 const DenseBase<OtherDerived>& other,
147 const RealScalar& prec
148) const
149{
151}
152
153} // end namespace Eigen
154
155#endif // EIGEN_FUZZY_H
Base class for all dense matrices, vectors, and arrays.
Definition DenseBase.h:47
EIGEN_DEVICE_FUNC Scalar sum() const
Definition Redux.h:459
Base class for all dense matrices, vectors, and expressions.
Definition MatrixBase.h:50
Namespace containing all symbols from the Eigen library.
Definition LDLT.h:16
Definition Meta.h:96