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 Eigen  3.3.9
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
14 namespace Eigen {
15
16 namespace internal
17 {
18
19 template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
20 struct isApprox_selector
21 {
22  EIGEN_DEVICE_FUNC
23  static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
24  {
25  typename internal::nested_eval<Derived,2>::type nested(x);
26  typename internal::nested_eval<OtherDerived,2>::type otherNested(y);
27  return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * numext::mini(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
28  }
29 };
30
31 template<typename Derived, typename OtherDerived>
32 struct isApprox_selector<Derived, OtherDerived, true>
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
41 template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
42 struct isMuchSmallerThan_object_selector
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
51 template<typename Derived, typename OtherDerived>
52 struct isMuchSmallerThan_object_selector<Derived, OtherDerived, true>
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
61 template<typename Derived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
62 struct isMuchSmallerThan_scalar_selector
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
71 template<typename Derived>
72 struct isMuchSmallerThan_scalar_selector<Derived, true>
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
101 template<typename Derived>
102 template<typename OtherDerived>
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
124 template<typename Derived>
126  const typename NumTraits<Scalar>::Real& other,
127  const RealScalar& prec
128 ) const
129 {
130  return internal::isMuchSmallerThan_scalar_selector<Derived>::run(derived(), other, prec);
131 }
132
143 template<typename Derived>
144 template<typename OtherDerived>
146  const DenseBase<OtherDerived>& other,
147  const RealScalar& prec
148 ) const
149 {
150  return internal::isMuchSmallerThan_object_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
151 }
152
153 } // end namespace Eigen
154
155 #endif // EIGEN_FUZZY_H
Eigen
Namespace containing all symbols from the Eigen library.
Definition: Core:309
Eigen::DenseCoeffsBase< Derived, DirectWriteAccessors >::derived
Derived & derived()
Definition: EigenBase.h:45
Eigen::DenseBase::isApprox
bool isApprox(const DenseBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const
Definition: Fuzzy.h:103
Eigen::DenseBase
Base class for all dense matrices, vectors, and arrays.
Definition: DenseBase.h:47
Eigen::NumTraits
Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
Definition: NumTraits.h:151