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98 lines
3.2 KiB
C++
98 lines
3.2 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_SPARSE_DOT_H
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#define EIGEN_SPARSE_DOT_H
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template<typename Derived>
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template<typename OtherDerived>
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typename ei_traits<Derived>::Scalar
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SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
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EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
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EIGEN_STATIC_ASSERT((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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ei_assert(size() == other.size());
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ei_assert(other.size()>0 && "you are using a non initialized vector");
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typename Derived::InnerIterator i(derived(),0);
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Scalar res = 0;
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while (i)
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{
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res += i.value() * ei_conj(other.coeff(i.index()));
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++i;
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}
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return res;
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}
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template<typename Derived>
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template<typename OtherDerived>
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typename ei_traits<Derived>::Scalar
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SparseMatrixBase<Derived>::dot(const SparseMatrixBase<OtherDerived>& other) const
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
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EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
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EIGEN_STATIC_ASSERT((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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ei_assert(size() == other.size());
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typename Derived::InnerIterator i(derived(),0);
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typename OtherDerived::InnerIterator j(other.derived(),0);
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Scalar res = 0;
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while (i && j)
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{
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if (i.index()==j.index())
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{
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res += i.value() * ei_conj(j.value());
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++i; ++j;
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}
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else if (i.index()<j.index())
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++i;
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else
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++j;
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}
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return res;
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}
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template<typename Derived>
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inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
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SparseMatrixBase<Derived>::squaredNorm() const
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{
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return ei_real((*this).cwise().abs2().sum());
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}
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template<typename Derived>
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inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
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SparseMatrixBase<Derived>::norm() const
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{
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return ei_sqrt(squaredNorm());
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}
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#endif // EIGEN_SPARSE_DOT_H
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