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@@ -37,6 +37,7 @@ class SimplicialCholeskyBase : internal::noncopyable
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{
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public:
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typedef typename internal::traits<Derived>::MatrixType MatrixType;
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typedef typename internal::traits<Derived>::OrderingType OrderingType;
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enum { UpLo = internal::traits<Derived>::UpLo };
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::RealScalar RealScalar;
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@@ -240,15 +241,16 @@ class SimplicialCholeskyBase : internal::noncopyable
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RealScalar m_shiftScale;
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};
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template<typename _MatrixType, int _UpLo = Lower> class SimplicialLLT;
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template<typename _MatrixType, int _UpLo = Lower> class SimplicialLDLT;
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template<typename _MatrixType, int _UpLo = Lower> class SimplicialCholesky;
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template<typename _MatrixType, int _UpLo = Lower, typename _Ordering = AMDOrdering<typename _MatrixType::Index> > class SimplicialLLT;
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template<typename _MatrixType, int _UpLo = Lower, typename _Ordering = AMDOrdering<typename _MatrixType::Index> > class SimplicialLDLT;
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template<typename _MatrixType, int _UpLo = Lower, typename _Ordering = AMDOrdering<typename _MatrixType::Index> > class SimplicialCholesky;
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namespace internal {
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template<typename _MatrixType, int _UpLo> struct traits<SimplicialLLT<_MatrixType,_UpLo> >
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template<typename _MatrixType, int _UpLo, typename _Ordering> struct traits<SimplicialLLT<_MatrixType,_UpLo,_Ordering> >
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{
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typedef _MatrixType MatrixType;
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typedef _Ordering OrderingType;
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enum { UpLo = _UpLo };
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::Index Index;
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@@ -259,9 +261,10 @@ template<typename _MatrixType, int _UpLo> struct traits<SimplicialLLT<_MatrixTyp
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static inline MatrixU getU(const MatrixType& m) { return m.adjoint(); }
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};
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template<typename _MatrixType,int _UpLo> struct traits<SimplicialLDLT<_MatrixType,_UpLo> >
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template<typename _MatrixType,int _UpLo, typename _Ordering> struct traits<SimplicialLDLT<_MatrixType,_UpLo,_Ordering> >
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{
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typedef _MatrixType MatrixType;
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typedef _Ordering OrderingType;
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enum { UpLo = _UpLo };
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::Index Index;
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@@ -272,9 +275,10 @@ template<typename _MatrixType,int _UpLo> struct traits<SimplicialLDLT<_MatrixTyp
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static inline MatrixU getU(const MatrixType& m) { return m.adjoint(); }
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};
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template<typename _MatrixType, int _UpLo> struct traits<SimplicialCholesky<_MatrixType,_UpLo> >
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template<typename _MatrixType, int _UpLo, typename _Ordering> struct traits<SimplicialCholesky<_MatrixType,_UpLo,_Ordering> >
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{
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typedef _MatrixType MatrixType;
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typedef _Ordering OrderingType;
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enum { UpLo = _UpLo };
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};
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@@ -294,11 +298,12 @@ template<typename _MatrixType, int _UpLo> struct traits<SimplicialCholesky<_Matr
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* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
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* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
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* or Upper. Default is Lower.
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* \tparam _Ordering The ordering method to use, either AMDOrdering<> or NaturalOrdering<>. Default is AMDOrdering<>
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*
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* \sa class SimplicialLDLT
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* \sa class SimplicialLDLT, class AMDOrdering, class NaturalOrdering
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*/
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template<typename _MatrixType, int _UpLo>
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class SimplicialLLT : public SimplicialCholeskyBase<SimplicialLLT<_MatrixType,_UpLo> >
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template<typename _MatrixType, int _UpLo, typename _Ordering>
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class SimplicialLLT : public SimplicialCholeskyBase<SimplicialLLT<_MatrixType,_UpLo,_Ordering> >
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{
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public:
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typedef _MatrixType MatrixType;
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@@ -382,11 +387,12 @@ public:
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* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
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* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
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* or Upper. Default is Lower.
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* \tparam _Ordering The ordering method to use, either AMDOrdering<> or NaturalOrdering<>. Default is AMDOrdering<>
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*
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* \sa class SimplicialLLT
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* \sa class SimplicialLLT, class AMDOrdering, class NaturalOrdering
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*/
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template<typename _MatrixType, int _UpLo>
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class SimplicialLDLT : public SimplicialCholeskyBase<SimplicialLDLT<_MatrixType,_UpLo> >
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template<typename _MatrixType, int _UpLo, typename _Ordering>
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class SimplicialLDLT : public SimplicialCholeskyBase<SimplicialLDLT<_MatrixType,_UpLo,_Ordering> >
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{
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public:
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typedef _MatrixType MatrixType;
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@@ -467,8 +473,8 @@ public:
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*
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* \sa class SimplicialLDLT, class SimplicialLLT
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*/
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template<typename _MatrixType, int _UpLo>
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class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<_MatrixType,_UpLo> >
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template<typename _MatrixType, int _UpLo, typename _Ordering>
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class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<_MatrixType,_UpLo,_Ordering> >
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{
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public:
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typedef _MatrixType MatrixType;
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@@ -612,15 +618,13 @@ void SimplicialCholeskyBase<Derived>::ordering(const MatrixType& a, CholMatrixTy
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{
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eigen_assert(a.rows()==a.cols());
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const Index size = a.rows();
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// TODO allows to configure the permutation
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// Note that amd compute the inverse permutation
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{
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CholMatrixType C;
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C = a.template selfadjointView<UpLo>();
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// remove diagonal entries:
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// seems not to be needed
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// C.prune(keep_diag());
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internal::minimum_degree_ordering(C, m_Pinv);
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OrderingType ordering;
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ordering(C,m_Pinv);
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}
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if(m_Pinv.size()>0)
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