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// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008 Gael Guennebaud // // 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 // IWYU pragma: private #include "./InternalHeaderCheck.h" namespace Eigen { template template inline typename internal::traits::Scalar SparseMatrixBase::dot( const MatrixBase& 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::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 thisEval(derived()); typename internal::evaluator::InnerIterator i(thisEval, 0); // Two accumulators, which breaks the dependency chain on the accumulator // and allows more instruction-level parallelism in the following loop. Scalar res1(0); Scalar res2(0); for (; i; ++i) { res1 = numext::madd(numext::conj(i.value()), other.coeff(i.index()), res1); ++i; if (i) { res2 = numext::madd(numext::conj(i.value()), other.coeff(i.index()), res2); } } return res1 + res2; } template template inline typename internal::traits::Scalar SparseMatrixBase::dot( const SparseMatrixBase& 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::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 thisEval(derived()); typename internal::evaluator::InnerIterator i(thisEval, 0); internal::evaluator otherEval(other.derived()); typename internal::evaluator::InnerIterator j(otherEval, 0); Scalar res(0); while (i && j) { if (i.index() == j.index()) { res = numext::madd(numext::conj(i.value()), j.value(), res); ++i; ++j; } else if (i.index() < j.index()) ++i; else ++j; } return res; } template inline typename NumTraits::Scalar>::Real SparseMatrixBase::squaredNorm() const { return numext::real((*this).cwiseAbs2().sum()); } template inline typename NumTraits::Scalar>::Real SparseMatrixBase::norm() const { using std::sqrt; return sqrt(squaredNorm()); } template inline typename NumTraits::Scalar>::Real SparseMatrixBase::blueNorm() const { return internal::blueNorm_impl(*this); } } // end namespace Eigen #endif // EIGEN_SPARSE_DOT_H