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Supernodal Matrix
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@ -26,13 +26,17 @@
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#ifndef EIGEN_SPARSE_LU
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#define EIGEN_SPARSE_LU
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namespace Eigen {
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template <typename _MatrixType>
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class SparseLU;
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#include <Ordering.h>
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#include <SparseLU_Utils.h>
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#include <SuperNodalMatrix.h>
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#include <SparseLU_Structs.h>
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#include <SparseLU_Memory.h>
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#include <SparseLU_Coletree.h>
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namespace Eigen {
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template <typename _MatrixType>
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class SparseLU
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@ -412,9 +416,11 @@ void SparseLU::factorize(const MatrixType& matrix)
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// ?? Should it be done automatically by C++
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//...
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// Create supernode matrix L and the column major matrix U
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// ...
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// Create supernode matrix L
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m_Lstore.setInfos(m, min_mn, nnzL, Glu.lusup, Glu.xlusup, Glu.lsub, Glu.xlsub, Glu.supno; Glu.xsup);
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// Create the column major upper sparse matrix U
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// Could be great to have the SparseMatrix constructor accepting the CSC matrix pointers
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// The Map class can do the job somehow
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m_info = Success;
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m_factorizationIsOk = ok;
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}
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@ -27,47 +27,83 @@
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#define EIGEN_SPARSELU_MATRIX_H
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/** \ingroup SparseLU_Module
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* \brief a class to manipulate the supernodal matrices in the SparseLU factorization
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* \brief a class to manipulate the L supernodal factor from the SparseLU factorization
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*
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* This class extends the class SparseMatrix and should contain the data to easily store
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* This class contain the data to easily store
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* and manipulate the supernodes during the factorization and solution phase of Sparse LU.
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* Only the lower triangular matrix has supernodes.
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*
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* NOTE : This class corresponds to the SCformat structure in SuperLU
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*
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*/
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/* TO DO
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* InnerIterator as for sparsematrix
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* SuperInnerIterator to iterate through all supernodes
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* Function for triangular solve
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*/
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template <typename _Scalar, typename _Index>
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class SuperNodalMatrix
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{
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public:
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SCMatrix()
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typedef typename _Scalar Scalar;
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typedef typename _Index Index;
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public:
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SuperNodalMatrix()
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{
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}
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SuperNodalMatrix(Index m, Index n, Index nnz, Scalar *nzval, Index* nzval_colptr, Index* rowind,
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Index* rowind_colptr, Index* col_to_sup, Index* sup_to_col ):m_row(m),m_col(n),m_nnz(nnz),
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m_nzval(nzval),m_nzval_colptr(nzval_colptr),m_rowind(rowind),
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m_rowind_colptr(rowind_colptr),m_col_to_sup(col_to_sup),m_sup_to_col(sup_to_col)
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{
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}
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~SCMatrix()
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~SuperNodalMatrix()
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{
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}
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operator SparseMatrix();
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void setInfos(Index m, Index n, Index nnz, Scalar *nzval, Index* nzval_colptr, Index* rowind,
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Index* rowind_colptr, Index* col_to_sup, Index* sup_to_col )
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{
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m_row = m;
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m_col = n;
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m_nnz = nnz;
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m_nzval = nzval;
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m_nzval_colptr = nzval_colptr;
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m_rowind = rowind;
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m_rowind_colptr = rowind_colptr;
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m_col_to_sup = col_to_sup;
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m_sup_to_col = sup_to_col;
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}
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SuperNodalMatrix(SparseMatrix& mat);
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class InnerIterator
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{
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public:
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protected:
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}:
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protected:
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Index nnz; // Number of nonzero values
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Index nsupper; // Index of the last supernode
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Scalar *nzval; //array of nonzero values packed by (supernode ??) column
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Index *nzval_colptr; //nzval_colptr[j] Stores the location in nzval[] which starts column j
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Index *rowind; // Array of compressed row indices of rectangular supernodes
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Index rowind_colptr; //rowind_colptr[j] stores the location in rowind[] which starts column j
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Index *col_to_sup; // col_to_sup[j] is the supernode number to which column j belongs
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Index *sup_to_col; //sup_to_col[s] points to the starting column of the s-th supernode
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// Index *nzval_colptr corresponds to m_outerIndex in SparseMatrix
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Index m_row; // Number of rows
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Index m_col; // Number of columns
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Index m_nnz; // Number of nonzero values
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Index m_nsupper; // Index of the last supernode
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Scalar* m_nzval; //array of nonzero values packed by (supernode ??) column
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Index* m_nzval_colptr; //nzval_colptr[j] Stores the location in nzval[] which starts column j
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Index* m_rowind; // Array of compressed row indices of rectangular supernodes
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Index* m_rowind_colptr; //rowind_colptr[j] stores the location in rowind[] which starts column j
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Index *m_col_to_sup; // col_to_sup[j] is the supernode number to which column j belongs
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Index *m_sup_to_col; //sup_to_col[s] points to the starting column of the s-th supernode
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private :
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SuperNodalMatrix(SparseMatrix& ) {}
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};
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SuperNodalMatrix::operator SparseMatrix()
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SuperNodalMatrix::SuperNodalMatrix(SparseMatrix& mat)
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{
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}
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@ -92,4 +92,5 @@ void SparseLU::LU_fixupL(const int n, const VectorXi& perm_r, GlobalLU_t& Glu)
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xlsub(n) = nextl;
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}
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#endif
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