| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2008 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_DOT_H | |
| #define EIGEN_SPARSE_DOT_H | |
| namespace Eigen { | |
| template<typename Derived> | |
| template<typename OtherDerived> | |
| typename internal::traits<Derived>::Scalar | |
| SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const | |
| { | |
| EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) | |
| EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived) | |
| EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived) | |
| EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value), | |
| YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY) | |
| eigen_assert(size() == other.size()); | |
| eigen_assert(other.size()>0 && "you are using a non initialized vector"); | |
| internal::evaluator<Derived> thisEval(derived()); | |
| typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0); | |
| Scalar res(0); | |
| while (i) | |
| { | |
| res += numext::conj(i.value()) * other.coeff(i.index()); | |
| ++i; | |
| } | |
| return res; | |
| } | |
| template<typename Derived> | |
| template<typename OtherDerived> | |
| typename internal::traits<Derived>::Scalar | |
| SparseMatrixBase<Derived>::dot(const SparseMatrixBase<OtherDerived>& other) const | |
| { | |
| EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) | |
| EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived) | |
| EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived) | |
| EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value), | |
| YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY) | |
| eigen_assert(size() == other.size()); | |
| internal::evaluator<Derived> thisEval(derived()); | |
| typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0); | |
| internal::evaluator<OtherDerived> otherEval(other.derived()); | |
| typename internal::evaluator<OtherDerived>::InnerIterator j(otherEval, 0); | |
| Scalar res(0); | |
| while (i && j) | |
| { | |
| if (i.index()==j.index()) | |
| { | |
| res += numext::conj(i.value()) * j.value(); | |
| ++i; ++j; | |
| } | |
| else if (i.index()<j.index()) | |
| ++i; | |
| else | |
| ++j; | |
| } | |
| return res; | |
| } | |
| template<typename Derived> | |
| inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real | |
| SparseMatrixBase<Derived>::squaredNorm() const | |
| { | |
| return numext::real((*this).cwiseAbs2().sum()); | |
| } | |
| template<typename Derived> | |
| inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real | |
| SparseMatrixBase<Derived>::norm() const | |
| { | |
| using std::sqrt; | |
| return sqrt(squaredNorm()); | |
| } | |
| template<typename Derived> | |
| inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real | |
| SparseMatrixBase<Derived>::blueNorm() const | |
| { | |
| return internal::blueNorm_impl(*this); | |
| } | |
| } // end namespace Eigen | |
| #endif // EIGEN_SPARSE_DOT_H |