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Diffstat (limited to 'extern/Eigen3/Eigen/src/Sparse/SparseDot.h')
-rw-r--r-- | extern/Eigen3/Eigen/src/Sparse/SparseDot.h | 97 |
1 files changed, 97 insertions, 0 deletions
diff --git a/extern/Eigen3/Eigen/src/Sparse/SparseDot.h b/extern/Eigen3/Eigen/src/Sparse/SparseDot.h new file mode 100644 index 00000000000..1f10f71a402 --- /dev/null +++ b/extern/Eigen3/Eigen/src/Sparse/SparseDot.h @@ -0,0 +1,97 @@ +// 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 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"); + + typename Derived::InnerIterator i(derived(),0); + Scalar res = 0; + while (i) + { + res += internal::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()); + + 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 += internal::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 internal::real((*this).cwiseAbs2().sum()); +} + +template<typename Derived> +inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real +SparseMatrixBase<Derived>::norm() const +{ + return internal::sqrt(squaredNorm()); +} + +#endif // EIGEN_SPARSE_DOT_H |