|  | // This file is part of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr> | 
|  | // | 
|  | // This Source Code Form is subject to the terms of the Mozilla | 
|  | // Public License v. 2.0. If a copy of the MPL was not distributed | 
|  | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | 
|  |  | 
|  | #ifndef EIGEN_SPARSE_FUZZY_H | 
|  | #define EIGEN_SPARSE_FUZZY_H | 
|  |  | 
|  | namespace Eigen { | 
|  |  | 
|  | template<typename Derived> | 
|  | template<typename OtherDerived> | 
|  | bool SparseMatrixBase<Derived>::isApprox(const SparseMatrixBase<OtherDerived>& other, const RealScalar &prec) const | 
|  | { | 
|  | const typename internal::nested_eval<Derived,2,PlainObject>::type actualA(derived()); | 
|  | typename internal::conditional<bool(IsRowMajor)==bool(OtherDerived::IsRowMajor), | 
|  | const typename internal::nested_eval<OtherDerived,2,PlainObject>::type, | 
|  | const PlainObject>::type actualB(other.derived()); | 
|  |  | 
|  | return (actualA - actualB).squaredNorm() <= prec * prec * numext::mini(actualA.squaredNorm(), actualB.squaredNorm()); | 
|  | } | 
|  |  | 
|  | } // end namespace Eigen | 
|  |  | 
|  | #endif // EIGEN_SPARSE_FUZZY_H |