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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_SPARSE_DOT_H
#define EIGEN_SPARSE_DOT_H
template<typename Derived>
template<typename OtherDerived>
typename ei_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((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
ei_assert(size() == other.size());
ei_assert(other.size()>0 && "you are using a non initialized vector");
typename Derived::InnerIterator i(derived(),0);
Scalar res = 0;
while (i)
{
res += ei_conj(i.value()) * other.coeff(i.index());
++i;
}
return res;
}
template<typename Derived>
template<typename OtherDerived>
typename ei_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((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
ei_assert(size() == other.size());
typename Derived::InnerIterator i(derived(),0);
typename OtherDerived::InnerIterator j(other.derived(),0);
Scalar res = 0;
while (i && j)
{
if (i.index()==j.index())
{
res += ei_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 ei_traits<Derived>::Scalar>::Real
SparseMatrixBase<Derived>::squaredNorm() const
{
return ei_real((*this).cwiseAbs2().sum());
}
template<typename Derived>
inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
SparseMatrixBase<Derived>::norm() const
{
return ei_sqrt(squaredNorm());
}
#endif // EIGEN_SPARSE_DOT_H
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