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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// 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 ExpressionType, int Mode> class SparseTriangular;
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
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