| // 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 |
| |
| #include "./InternalHeaderCheck.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 |
