SparseLU_Structs.h
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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
5 //
6 // This Source Code Form is subject to the terms of the Mozilla
7 // Public License v. 2.0. If a copy of the MPL was not distributed
8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9 
10 /*
11  * NOTE: This file comes from a partly modified version of files slu_[s,d,c,z]defs.h
12  * -- SuperLU routine (version 4.1) --
13  * Univ. of California Berkeley, Xerox Palo Alto Research Center,
14  * and Lawrence Berkeley National Lab.
15  * November, 2010
16  *
17  * Global data structures used in LU factorization -
18  *
19  * nsuper: #supernodes = nsuper + 1, numbered [0, nsuper].
20  * (xsup,supno): supno[i] is the supernode no to which i belongs;
21  * xsup(s) points to the beginning of the s-th supernode.
22  * e.g. supno 0 1 2 2 3 3 3 4 4 4 4 4 (n=12)
23  * xsup 0 1 2 4 7 12
24  * Note: dfs will be performed on supernode rep. relative to the new
25  * row pivoting ordering
26  *
27  * (xlsub,lsub): lsub[*] contains the compressed subscript of
28  * rectangular supernodes; xlsub[j] points to the starting
29  * location of the j-th column in lsub[*]. Note that xlsub
30  * is indexed by column.
31  * Storage: original row subscripts
32  *
33  * During the course of sparse LU factorization, we also use
34  * (xlsub,lsub) for the purpose of symmetric pruning. For each
35  * supernode {s,s+1,...,t=s+r} with first column s and last
36  * column t, the subscript set
37  * lsub[j], j=xlsub[s], .., xlsub[s+1]-1
38  * is the structure of column s (i.e. structure of this supernode).
39  * It is used for the storage of numerical values.
40  * Furthermore,
41  * lsub[j], j=xlsub[t], .., xlsub[t+1]-1
42  * is the structure of the last column t of this supernode.
43  * It is for the purpose of symmetric pruning. Therefore, the
44  * structural subscripts can be rearranged without making physical
45  * interchanges among the numerical values.
46  *
47  * However, if the supernode has only one column, then we
48  * only keep one set of subscripts. For any subscript interchange
49  * performed, similar interchange must be done on the numerical
50  * values.
51  *
52  * The last column structures (for pruning) will be removed
53  * after the numercial LU factorization phase.
54  *
55  * (xlusup,lusup): lusup[*] contains the numerical values of the
56  * rectangular supernodes; xlusup[j] points to the starting
57  * location of the j-th column in storage vector lusup[*]
58  * Note: xlusup is indexed by column.
59  * Each rectangular supernode is stored by column-major
60  * scheme, consistent with Fortran 2-dim array storage.
61  *
62  * (xusub,ucol,usub): ucol[*] stores the numerical values of
63  * U-columns outside the rectangular supernodes. The row
64  * subscript of nonzero ucol[k] is stored in usub[k].
65  * xusub[i] points to the starting location of column i in ucol.
66  * Storage: new row subscripts; that is subscripts of PA.
67  */
68 
69 #ifndef EIGEN_LU_STRUCTS
70 #define EIGEN_LU_STRUCTS
71 namespace Eigen {
72 namespace internal {
73 
74 typedef enum {LUSUP, UCOL, LSUB, USUB, LLVL, ULVL} MemType;
75 
76 template <typename IndexVector, typename ScalarVector>
77 struct LU_GlobalLU_t {
78  typedef typename IndexVector::Scalar Index;
79  IndexVector xsup; //First supernode column ... xsup(s) points to the beginning of the s-th supernode
80  IndexVector supno; // Supernode number corresponding to this column (column to supernode mapping)
81  ScalarVector lusup; // nonzero values of L ordered by columns
82  IndexVector lsub; // Compressed row indices of L rectangular supernodes.
83  IndexVector xlusup; // pointers to the beginning of each column in lusup
84  IndexVector xlsub; // pointers to the beginning of each column in lsub
85  Index nzlmax; // Current max size of lsub
86  Index nzlumax; // Current max size of lusup
87  ScalarVector ucol; // nonzero values of U ordered by columns
88  IndexVector usub; // row indices of U columns in ucol
89  IndexVector xusub; // Pointers to the beginning of each column of U in ucol
90  Index nzumax; // Current max size of ucol
91  Index n; // Number of columns in the matrix
93 };
94 
95 // Values to set for performance
96 template <typename Index>
97 struct perfvalues {
98  Index panel_size; // a panel consists of at most <panel_size> consecutive columns
99  Index relax; // To control degree of relaxing supernodes. If the number of nodes (columns)
100  // in a subtree of the elimination tree is less than relax, this subtree is considered
101  // as one supernode regardless of the row structures of those columns
102  Index maxsuper; // The maximum size for a supernode in complete LU
103  Index rowblk; // The minimum row dimension for 2-D blocking to be used;
104  Index colblk; // The minimum column dimension for 2-D blocking to be used;
105  Index fillfactor; // The estimated fills factors for L and U, compared with A
106 };
107 
108 } // end namespace internal
109 
110 } // end namespace Eigen
111 #endif // EIGEN_LU_STRUCTS
iterative scaling algorithm to equilibrate rows and column norms in matrices
Definition: matrix.hpp:471


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Author(s): Milan Vukov, Rien Quirynen
autogenerated on Mon Jun 10 2019 12:35:08