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Diffstat (limited to 'extern/Eigen2/Eigen/src/Sparse/SparseUtil.h')
| -rw-r--r-- | extern/Eigen2/Eigen/src/Sparse/SparseUtil.h | 148 |
1 files changed, 0 insertions, 148 deletions
diff --git a/extern/Eigen2/Eigen/src/Sparse/SparseUtil.h b/extern/Eigen2/Eigen/src/Sparse/SparseUtil.h deleted file mode 100644 index 393cdda6ea2..00000000000 --- a/extern/Eigen2/Eigen/src/Sparse/SparseUtil.h +++ /dev/null @@ -1,148 +0,0 @@ -// 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_SPARSEUTIL_H -#define EIGEN_SPARSEUTIL_H - -#ifdef NDEBUG -#define EIGEN_DBG_SPARSE(X) -#else -#define EIGEN_DBG_SPARSE(X) X -#endif - -#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \ -template<typename OtherDerived> \ -EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \ -{ \ - return Base::operator Op(other.derived()); \ -} \ -EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \ -{ \ - return Base::operator Op(other); \ -} - -#define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \ -template<typename Other> \ -EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \ -{ \ - return Base::operator Op(scalar); \ -} - -#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \ -EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \ -EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \ -EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \ -EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \ -EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=) - -#define _EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(Derived, BaseClass) \ -typedef BaseClass Base; \ -typedef typename Eigen::ei_traits<Derived>::Scalar Scalar; \ -typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \ -typedef typename Eigen::ei_nested<Derived>::type Nested; \ -enum { RowsAtCompileTime = Eigen::ei_traits<Derived>::RowsAtCompileTime, \ - ColsAtCompileTime = Eigen::ei_traits<Derived>::ColsAtCompileTime, \ - Flags = Eigen::ei_traits<Derived>::Flags, \ - CoeffReadCost = Eigen::ei_traits<Derived>::CoeffReadCost, \ - SizeAtCompileTime = Base::SizeAtCompileTime, \ - IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; - -#define EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(Derived) \ -_EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived>) - -enum SparseBackend { - DefaultBackend, - Taucs, - Cholmod, - SuperLU, - UmfPack -}; - -// solver flags -enum { - CompleteFactorization = 0x0000, // the default - IncompleteFactorization = 0x0001, - MemoryEfficient = 0x0002, - - // For LLT Cholesky: - SupernodalMultifrontal = 0x0010, - SupernodalLeftLooking = 0x0020, - - // Ordering methods: - NaturalOrdering = 0x0100, // the default - MinimumDegree_AT_PLUS_A = 0x0200, - MinimumDegree_ATA = 0x0300, - ColApproxMinimumDegree = 0x0400, - Metis = 0x0500, - Scotch = 0x0600, - Chaco = 0x0700, - OrderingMask = 0x0f00 -}; - -template<typename Derived> class SparseMatrixBase; -template<typename _Scalar, int _Flags = 0> class SparseMatrix; -template<typename _Scalar, int _Flags = 0> class DynamicSparseMatrix; -template<typename _Scalar, int _Flags = 0> class SparseVector; -template<typename _Scalar, int _Flags = 0> class MappedSparseMatrix; - -template<typename MatrixType> class SparseTranspose; -template<typename MatrixType, int Size> class SparseInnerVectorSet; -template<typename Derived> class SparseCwise; -template<typename UnaryOp, typename MatrixType> class SparseCwiseUnaryOp; -template<typename BinaryOp, typename Lhs, typename Rhs> class SparseCwiseBinaryOp; -template<typename ExpressionType, - unsigned int Added, unsigned int Removed> class SparseFlagged; -template<typename Lhs, typename Rhs> class SparseDiagonalProduct; - -template<typename Lhs, typename Rhs> struct ei_sparse_product_mode; -template<typename Lhs, typename Rhs, int ProductMode = ei_sparse_product_mode<Lhs,Rhs>::value> struct SparseProductReturnType; - -const int CoherentAccessPattern = 0x1; -const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern; -const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern; -const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern; - -// const int AccessPatternNotSupported = 0x0; -// const int AccessPatternSupported = 0x1; -// -// template<typename MatrixType, int AccessPattern> struct ei_support_access_pattern -// { -// enum { ret = (int(ei_traits<MatrixType>::SupportedAccessPatterns) & AccessPattern) == AccessPattern -// ? AccessPatternSupported -// : AccessPatternNotSupported -// }; -// }; - -template<typename T> class ei_eval<T,IsSparse> -{ - typedef typename ei_traits<T>::Scalar _Scalar; - enum { - _Flags = ei_traits<T>::Flags - }; - - public: - typedef SparseMatrix<_Scalar, _Flags> type; -}; - -#endif // EIGEN_SPARSEUTIL_H |