SparseFuzzy.h
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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2008-2014 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_SPARSE_FUZZY_H
11 #define EIGEN_SPARSE_FUZZY_H
12 
13 // IWYU pragma: private
14 #include "./InternalHeaderCheck.h"
15 
16 namespace Eigen {
17 
18 template <typename Derived>
19 template <typename OtherDerived>
21  const typename internal::nested_eval<Derived, 2, PlainObject>::type actualA(derived());
22  std::conditional_t<bool(IsRowMajor) == bool(OtherDerived::IsRowMajor),
24  actualB(other.derived());
25 
26  return (actualA - actualB).squaredNorm() <= prec * prec * numext::mini(actualA.squaredNorm(), actualB.squaredNorm());
27 }
28 
29 } // end namespace Eigen
30 
31 #endif // EIGEN_SPARSE_FUZZY_H
Base class of any sparse matrices or sparse expressions.
Definition: SparseMatrixBase.h:30
bool isApprox(const SparseMatrixBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const
Definition: SparseFuzzy.h:20
const Derived & derived() const
Definition: SparseMatrixBase.h:144
NumTraits< Scalar >::Real RealScalar
Definition: SparseMatrixBase.h:128
A versatible sparse matrix representation.
Definition: SparseMatrix.h:121
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE T mini(const T &x, const T &y)
Definition: MathFunctions.h:920
Namespace containing all symbols from the Eigen library.
Definition: bench_norm.cpp:70
std::conditional_t< Evaluate, PlainObject, typename ref_selector< T >::type > type
Definition: XprHelper.h:549