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Diffstat (limited to 'extern/Eigen2/Eigen/src/Sparse/SparseDot.h')
-rw-r--r--extern/Eigen2/Eigen/src/Sparse/SparseDot.h97
1 files changed, 97 insertions, 0 deletions
diff --git a/extern/Eigen2/Eigen/src/Sparse/SparseDot.h b/extern/Eigen2/Eigen/src/Sparse/SparseDot.h
new file mode 100644
index 00000000000..7a26e0f4ba5
--- /dev/null
+++ b/extern/Eigen2/Eigen/src/Sparse/SparseDot.h
@@ -0,0 +1,97 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.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 += i.value() * ei_conj(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 += i.value() * ei_conj(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).cwise().abs2().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