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Eigen :

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- aggiornato a versione 3.3.4.
This commit is contained in:
Dario Sassi
2017-08-18 17:29:34 +00:00
parent 317528deb0
commit 093025963c
369 changed files with 59025 additions and 23784 deletions
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Eigen/src/SparseCore/SparseUtil.h
+55 -49
View File
@@ -1,7 +1,7 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2008-2014 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
@@ -37,42 +37,23 @@ EIGEN_STRONG_INLINE Derived& operator Op(const Other& 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, /=)
EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =)
#define _EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, BaseClass) \
typedef BaseClass Base; \
typedef typename Eigen::internal::traits<Derived >::Scalar Scalar; \
typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \
typedef typename Eigen::internal::nested<Derived >::type Nested; \
typedef typename Eigen::internal::traits<Derived >::StorageKind StorageKind; \
typedef typename Eigen::internal::traits<Derived >::Index Index; \
enum { RowsAtCompileTime = Eigen::internal::traits<Derived >::RowsAtCompileTime, \
ColsAtCompileTime = Eigen::internal::traits<Derived >::ColsAtCompileTime, \
Flags = Eigen::internal::traits<Derived >::Flags, \
CoeffReadCost = Eigen::internal::traits<Derived >::CoeffReadCost, \
SizeAtCompileTime = Base::SizeAtCompileTime, \
IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
using Base::derived; \
using Base::const_cast_derived;
#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \
_EIGEN_SPARSE_PUBLIC_INTERFACE(Derived, Eigen::SparseMatrixBase<Derived >)
EIGEN_GENERIC_PUBLIC_INTERFACE(Derived)
const int CoherentAccessPattern = 0x1;
const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern;
const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern;
const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseMatrix;
template<typename _Scalar, int _Flags = 0, typename _Index = int> class DynamicSparseMatrix;
template<typename _Scalar, int _Flags = 0, typename _Index = int> class SparseVector;
template<typename _Scalar, int _Flags = 0, typename _Index = int> class MappedSparseMatrix;
template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class SparseMatrix;
template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class DynamicSparseMatrix;
template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class SparseVector;
template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int> class MappedSparseMatrix;
template<typename MatrixType, int Mode> class SparseTriangularView;
template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView;
template<typename Lhs, typename Rhs> class SparseDiagonalProduct;
template<typename MatrixType> class SparseView;
@@ -84,42 +65,44 @@ template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProdu
template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType;
template<typename Lhs, typename Rhs,
int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct DenseSparseProductReturnType;
int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct DenseSparseProductReturnType;
template<typename Lhs, typename Rhs,
int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct SparseDenseProductReturnType;
template<typename MatrixType,int UpLo> class SparseSymmetricPermutationProduct;
namespace internal {
template<typename T,int Rows,int Cols> struct sparse_eval;
template<typename T,int Rows,int Cols,int Flags> struct sparse_eval;
template<typename T> struct eval<T,Sparse>
: public sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime>
: sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime,traits<T>::Flags>
{};
template<typename T,int Cols> struct sparse_eval<T,1,Cols> {
template<typename T,int Cols,int Flags> struct sparse_eval<T,1,Cols,Flags> {
typedef typename traits<T>::Scalar _Scalar;
typedef typename traits<T>::Index _Index;
typedef typename traits<T>::StorageIndex _StorageIndex;
public:
typedef SparseVector<_Scalar, RowMajor, _Index> type;
typedef SparseVector<_Scalar, RowMajor, _StorageIndex> type;
};
template<typename T,int Rows> struct sparse_eval<T,Rows,1> {
template<typename T,int Rows,int Flags> struct sparse_eval<T,Rows,1,Flags> {
typedef typename traits<T>::Scalar _Scalar;
typedef typename traits<T>::Index _Index;
typedef typename traits<T>::StorageIndex _StorageIndex;
public:
typedef SparseVector<_Scalar, ColMajor, _Index> type;
typedef SparseVector<_Scalar, ColMajor, _StorageIndex> type;
};
template<typename T,int Rows,int Cols> struct sparse_eval {
// TODO this seems almost identical to plain_matrix_type<T, Sparse>
template<typename T,int Rows,int Cols,int Flags> struct sparse_eval {
typedef typename traits<T>::Scalar _Scalar;
typedef typename traits<T>::Index _Index;
enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
typedef typename traits<T>::StorageIndex _StorageIndex;
enum { _Options = ((Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
public:
typedef SparseMatrix<_Scalar, _Options, _Index> type;
typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type;
};
template<typename T> struct sparse_eval<T,1,1> {
template<typename T,int Flags> struct sparse_eval<T,1,1,Flags> {
typedef typename traits<T>::Scalar _Scalar;
public:
typedef Matrix<_Scalar, 1, 1> type;
@@ -128,12 +111,35 @@ template<typename T> struct sparse_eval<T,1,1> {
template<typename T> struct plain_matrix_type<T,Sparse>
{
typedef typename traits<T>::Scalar _Scalar;
typedef typename traits<T>::Index _Index;
enum { _Options = ((traits<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
typedef typename traits<T>::StorageIndex _StorageIndex;
enum { _Options = ((evaluator<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
public:
typedef SparseMatrix<_Scalar, _Options, _Index> type;
typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type;
};
template<typename T>
struct plain_object_eval<T,Sparse>
: sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime, evaluator<T>::Flags>
{};
template<typename Decomposition, typename RhsType>
struct solve_traits<Decomposition,RhsType,Sparse>
{
typedef typename sparse_eval<RhsType, RhsType::RowsAtCompileTime, RhsType::ColsAtCompileTime,traits<RhsType>::Flags>::type PlainObject;
};
template<typename Derived>
struct generic_xpr_base<Derived, MatrixXpr, Sparse>
{
typedef SparseMatrixBase<Derived> type;
};
struct SparseTriangularShape { static std::string debugName() { return "SparseTriangularShape"; } };
struct SparseSelfAdjointShape { static std::string debugName() { return "SparseSelfAdjointShape"; } };
template<> struct glue_shapes<SparseShape,SelfAdjointShape> { typedef SparseSelfAdjointShape type; };
template<> struct glue_shapes<SparseShape,TriangularShape > { typedef SparseTriangularShape type; };
} // end namespace internal
/** \ingroup SparseCore_Module
@@ -144,26 +150,26 @@ template<typename T> struct plain_matrix_type<T,Sparse>
*
* \sa SparseMatrix::setFromTriplets()
*/
template<typename Scalar, typename Index=typename SparseMatrix<Scalar>::Index >
template<typename Scalar, typename StorageIndex=typename SparseMatrix<Scalar>::StorageIndex >
class Triplet
{
public:
Triplet() : m_row(0), m_col(0), m_value(0) {}
Triplet(const Index& i, const Index& j, const Scalar& v = Scalar(0))
Triplet(const StorageIndex& i, const StorageIndex& j, const Scalar& v = Scalar(0))
: m_row(i), m_col(j), m_value(v)
{}
/** \returns the row index of the element */
const Index& row() const { return m_row; }
const StorageIndex& row() const { return m_row; }
/** \returns the column index of the element */
const Index& col() const { return m_col; }
const StorageIndex& col() const { return m_col; }
/** \returns the value of the element */
const Scalar& value() const { return m_value; }
protected:
Index m_row, m_col;
StorageIndex m_row, m_col;
Scalar m_value;
};