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-rw-r--r--third_party/eigen3/Eigen/src/SparseCore/SparseDot.h101
1 files changed, 0 insertions, 101 deletions
diff --git a/third_party/eigen3/Eigen/src/SparseCore/SparseDot.h b/third_party/eigen3/Eigen/src/SparseCore/SparseDot.h
deleted file mode 100644
index db39c9aecc..0000000000
--- a/third_party/eigen3/Eigen/src/SparseCore/SparseDot.h
+++ /dev/null
@@ -1,101 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// 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<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 += numext::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());
-
- typedef typename Derived::Nested Nested;
- typedef typename OtherDerived::Nested OtherNested;
- typedef typename internal::remove_all<Nested>::type NestedCleaned;
- typedef typename internal::remove_all<OtherNested>::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()<j.index())
- ++i;
- else
- ++j;
- }
- return res;
-}
-
-template<typename Derived>
-inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
-SparseMatrixBase<Derived>::squaredNorm() const
-{
- return numext::real((*this).cwiseAbs2().sum());
-}
-
-template<typename Derived>
-inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
-SparseMatrixBase<Derived>::norm() const
-{
- using std::sqrt;
- return sqrt(squaredNorm());
-}
-
-template<typename Derived>
-inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
-SparseMatrixBase<Derived>::blueNorm() const
-{
- return internal::blueNorm_impl(*this);
-}
-} // end namespace Eigen
-
-#endif // EIGEN_SPARSE_DOT_H