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move sparse solvers from unsupported/ to main Eigen/ and remove the "not stable yet" warning
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130
Eigen/src/SparseCore/SparseUtil.h
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130
Eigen/src/SparseCore/SparseUtil.h
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// 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 <gael.guennebaud@inria.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_SPARSEUTIL_H
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#define EIGEN_SPARSEUTIL_H
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#ifdef NDEBUG
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#define EIGEN_DBG_SPARSE(X)
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#else
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#define EIGEN_DBG_SPARSE(X) X
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#endif
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#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename OtherDerived> \
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EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \
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{ \
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return Base::operator Op(other.derived()); \
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} \
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EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \
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{ \
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return Base::operator Op(other); \
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}
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#define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename Other> \
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EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \
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{ \
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return Base::operator Op(scalar); \
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}
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#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
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EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
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EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
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EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
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EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
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EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
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#define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \
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typedef BaseClass Base; \
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typedef typename Eigen::internal::traits<Derived>::Scalar Scalar; \
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typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \
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typedef typename Eigen::internal::nested<Derived>::type Nested; \
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typedef typename Eigen::internal::traits<Derived>::StorageKind StorageKind; \
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typedef typename Eigen::internal::traits<Derived>::Index Index; \
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enum { RowsAtCompileTime = Eigen::internal::traits<Derived>::RowsAtCompileTime, \
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ColsAtCompileTime = Eigen::internal::traits<Derived>::ColsAtCompileTime, \
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Flags = Eigen::internal::traits<Derived>::Flags, \
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CoeffReadCost = Eigen::internal::traits<Derived>::CoeffReadCost, \
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SizeAtCompileTime = Base::SizeAtCompileTime, \
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IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
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using Base::derived; \
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using Base::const_cast_derived;
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#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \
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_EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived>)
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const int CoherentAccessPattern = 0x1;
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const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern;
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const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern;
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const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
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template<typename Derived> class SparseMatrixBase;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseMatrix;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class DynamicSparseMatrix;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseVector;
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template<typename _Scalar, int _Flags = 0, typename _Index = int> class MappedSparseMatrix;
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template<typename MatrixType, int Size> class SparseInnerVectorSet;
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template<typename MatrixType, int Mode> class SparseTriangularView;
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template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView;
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template<typename Lhs, typename Rhs> class SparseDiagonalProduct;
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template<typename MatrixType> class SparseView;
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template<typename Lhs, typename Rhs> class SparseSparseProduct;
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template<typename Lhs, typename Rhs> class SparseTimeDenseProduct;
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template<typename Lhs, typename Rhs> class DenseTimeSparseProduct;
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template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
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template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType;
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template<typename Lhs, typename Rhs, int InnerSize = internal::traits<Lhs>::ColsAtCompileTime> struct DenseSparseProductReturnType;
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template<typename Lhs, typename Rhs, int InnerSize = internal::traits<Lhs>::ColsAtCompileTime> struct SparseDenseProductReturnType;
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namespace internal {
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template<typename T> struct eval<T,Sparse>
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{
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typedef typename traits<T>::Scalar _Scalar;
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enum {
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_Flags = traits<T>::Flags
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};
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public:
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typedef SparseMatrix<_Scalar, _Flags> type;
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};
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template<typename T> struct plain_matrix_type<T,Sparse>
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{
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typedef typename traits<T>::Scalar _Scalar;
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enum {
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_Flags = traits<T>::Flags
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};
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public:
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typedef SparseMatrix<_Scalar, _Flags> type;
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};
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} // end namespace internal
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#endif // EIGEN_SPARSEUTIL_H
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