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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, 148 insertions, 0 deletions
diff --git a/extern/Eigen2/Eigen/src/Sparse/SparseUtil.h b/extern/Eigen2/Eigen/src/Sparse/SparseUtil.h new file mode 100644 index 00000000000..393cdda6ea2 --- /dev/null +++ b/extern/Eigen2/Eigen/src/Sparse/SparseUtil.h @@ -0,0 +1,148 @@ +// 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 |