From 44861dcbfeee041223c4aac1ee075e92fa4daa01 Mon Sep 17 00:00:00 2001 From: Stanislaw Halik Date: Sun, 18 Sep 2016 12:42:15 +0200 Subject: update --- eigen/Eigen/src/SparseCore/SparseDot.h | 101 +++++++++++++++++++++++++++++++++ 1 file changed, 101 insertions(+) create mode 100644 eigen/Eigen/src/SparseCore/SparseDot.h (limited to 'eigen/Eigen/src/SparseCore/SparseDot.h') diff --git a/eigen/Eigen/src/SparseCore/SparseDot.h b/eigen/Eigen/src/SparseCore/SparseDot.h new file mode 100644 index 0000000..db39c9a --- /dev/null +++ b/eigen/Eigen/src/SparseCore/SparseDot.h @@ -0,0 +1,101 @@ +// 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 + +namespace Eigen { + +template +template +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"); + + typename Derived::InnerIterator i(derived(),0); + Scalar res(0); + while (i) + { + res += numext::conj(i.value()) * other.coeff(i.index()); + ++i; + } + return res; +} + +template +template +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()); + + typedef typename Derived::Nested Nested; + typedef typename OtherDerived::Nested OtherNested; + typedef typename internal::remove_all::type NestedCleaned; + typedef typename internal::remove_all::type OtherNestedCleaned; + + Nested nthis(derived()); + OtherNested nother(other.derived()); + + typename NestedCleaned::InnerIterator i(nthis,0); + typename OtherNestedCleaned::InnerIterator j(nother,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() +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 -- cgit v1.2.3