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 namespace Eigen {
14 
15 template<typename Derived>
16 template<typename OtherDerived>
18 {
19  const typename internal::nested_eval<Derived,2,PlainObject>::type actualA(derived());
20  typename internal::conditional<bool(IsRowMajor)==bool(OtherDerived::IsRowMajor),
22  const PlainObject>::type actualB(other.derived());
23 
24  return (actualA - actualB).squaredNorm() <= prec * prec * numext::mini(actualA.squaredNorm(), actualB.squaredNorm());
25 }
26 
27 } // end namespace Eigen
28 
29 #endif // EIGEN_SPARSE_FUZZY_H
Eigen
Namespace containing all symbols from the Eigen library.
Definition: jet.h:637
Eigen::SparseMatrix
A versatible sparse matrix representation.
Definition: SparseMatrix.h:96
Eigen::SparseMatrixBase::isApprox
bool isApprox(const SparseMatrixBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const
Definition: SparseFuzzy.h:17
type
Definition: pytypes.h:1525
Eigen::internal::true_type
Definition: Meta.h:96
Eigen::numext::mini
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE T mini(const T &x, const T &y)
Definition: Eigen/src/Core/MathFunctions.h:1085
Eigen::internal::conditional
Definition: Meta.h:109
Eigen::SparseMatrixBase
Base class of any sparse matrices or sparse expressions.
Definition: ForwardDeclarations.h:301
Eigen::SparseMatrixBase< CwiseBinaryOp< BinaryOp, Lhs, Rhs > >::RealScalar
NumTraits< Scalar >::Real RealScalar
Definition: SparseMatrixBase.h:128
pybind_wrapper_test_script.other
other
Definition: pybind_wrapper_test_script.py:42


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autogenerated on Sat Nov 16 2024 04:04:30