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
12 * NOTE: This file is the modified version of [s,d,c,z]panel_dfs.c file in SuperLU
13
14 * -- SuperLU routine (version 2.0) --
15 * Univ. of California Berkeley, Xerox Palo Alto Research Center,
16 * and Lawrence Berkeley National Lab.
17 * November 15, 1997
18 *
19 * Copyright (c) 1994 by Xerox Corporation. All rights reserved.
20 *
21 * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
22 * EXPRESSED OR IMPLIED. ANY USE IS AT YOUR OWN RISK.
23 *
24 * Permission is hereby granted to use or copy this program for any
25 * purpose, provided the above notices are retained on all copies.
26 * Permission to modify the code and to distribute modified code is
27 * granted, provided the above notices are retained, and a notice that
28 * the code was modified is included with the above copyright notice.
29 */
30 #ifndef SPARSELU_PANEL_DFS_H
31 #define SPARSELU_PANEL_DFS_H
32
33 namespace Eigen {
34
35 namespace internal {
36
37 template<typename IndexVector>
38 struct panel_dfs_traits
39 {
40 typedef typename IndexVector::Scalar Index;
panel_dfs_traitspanel_dfs_traits41 panel_dfs_traits(Index jcol, Index* marker)
42 : m_jcol(jcol), m_marker(marker)
43 {}
update_segreppanel_dfs_traits44 bool update_segrep(Index krep, Index jj)
45 {
46 if(m_marker[krep]<m_jcol)
47 {
48 m_marker[krep] = jj;
49 return true;
50 }
51 return false;
52 }
mem_expandpanel_dfs_traits53 void mem_expand(IndexVector& /*glu.lsub*/, Index /*nextl*/, Index /*chmark*/) {}
54 enum { ExpandMem = false };
55 Index m_jcol;
56 Index* m_marker;
57 };
58
59
60 template <typename Scalar, typename Index>
61 template <typename Traits>
dfs_kernel(const Index jj,IndexVector & perm_r,Index & nseg,IndexVector & panel_lsub,IndexVector & segrep,Ref<IndexVector> repfnz_col,IndexVector & xprune,Ref<IndexVector> marker,IndexVector & parent,IndexVector & xplore,GlobalLU_t & glu,Index & nextl_col,Index krow,Traits & traits)62 void SparseLUImpl<Scalar,Index>::dfs_kernel(const Index jj, IndexVector& perm_r,
63 Index& nseg, IndexVector& panel_lsub, IndexVector& segrep,
64 Ref<IndexVector> repfnz_col, IndexVector& xprune, Ref<IndexVector> marker, IndexVector& parent,
65 IndexVector& xplore, GlobalLU_t& glu,
66 Index& nextl_col, Index krow, Traits& traits
67 )
68 {
69
70 Index kmark = marker(krow);
71
72 // For each unmarked krow of jj
73 marker(krow) = jj;
74 Index kperm = perm_r(krow);
75 if (kperm == emptyIdxLU ) {
76 // krow is in L : place it in structure of L(*, jj)
77 panel_lsub(nextl_col++) = krow; // krow is indexed into A
78
79 traits.mem_expand(panel_lsub, nextl_col, kmark);
80 }
81 else
82 {
83 // krow is in U : if its supernode-representative krep
84 // has been explored, update repfnz(*)
85 // krep = supernode representative of the current row
86 Index krep = glu.xsup(glu.supno(kperm)+1) - 1;
87 // First nonzero element in the current column:
88 Index myfnz = repfnz_col(krep);
89
90 if (myfnz != emptyIdxLU )
91 {
92 // Representative visited before
93 if (myfnz > kperm ) repfnz_col(krep) = kperm;
94
95 }
96 else
97 {
98 // Otherwise, perform dfs starting at krep
99 Index oldrep = emptyIdxLU;
100 parent(krep) = oldrep;
101 repfnz_col(krep) = kperm;
102 Index xdfs = glu.xlsub(krep);
103 Index maxdfs = xprune(krep);
104
105 Index kpar;
106 do
107 {
108 // For each unmarked kchild of krep
109 while (xdfs < maxdfs)
110 {
111 Index kchild = glu.lsub(xdfs);
112 xdfs++;
113 Index chmark = marker(kchild);
114
115 if (chmark != jj )
116 {
117 marker(kchild) = jj;
118 Index chperm = perm_r(kchild);
119
120 if (chperm == emptyIdxLU)
121 {
122 // case kchild is in L: place it in L(*, j)
123 panel_lsub(nextl_col++) = kchild;
124 traits.mem_expand(panel_lsub, nextl_col, chmark);
125 }
126 else
127 {
128 // case kchild is in U :
129 // chrep = its supernode-rep. If its rep has been explored,
130 // update its repfnz(*)
131 Index chrep = glu.xsup(glu.supno(chperm)+1) - 1;
132 myfnz = repfnz_col(chrep);
133
134 if (myfnz != emptyIdxLU)
135 { // Visited before
136 if (myfnz > chperm)
137 repfnz_col(chrep) = chperm;
138 }
139 else
140 { // Cont. dfs at snode-rep of kchild
141 xplore(krep) = xdfs;
142 oldrep = krep;
143 krep = chrep; // Go deeper down G(L)
144 parent(krep) = oldrep;
145 repfnz_col(krep) = chperm;
146 xdfs = glu.xlsub(krep);
147 maxdfs = xprune(krep);
148
149 } // end if myfnz != -1
150 } // end if chperm == -1
151
152 } // end if chmark !=jj
153 } // end while xdfs < maxdfs
154
155 // krow has no more unexplored nbrs :
156 // Place snode-rep krep in postorder DFS, if this
157 // segment is seen for the first time. (Note that
158 // "repfnz(krep)" may change later.)
159 // Baktrack dfs to its parent
160 if(traits.update_segrep(krep,jj))
161 //if (marker1(krep) < jcol )
162 {
163 segrep(nseg) = krep;
164 ++nseg;
165 //marker1(krep) = jj;
166 }
167
168 kpar = parent(krep); // Pop recursion, mimic recursion
169 if (kpar == emptyIdxLU)
170 break; // dfs done
171 krep = kpar;
172 xdfs = xplore(krep);
173 maxdfs = xprune(krep);
174
175 } while (kpar != emptyIdxLU); // Do until empty stack
176
177 } // end if (myfnz = -1)
178
179 } // end if (kperm == -1)
180 }
181
182 /**
183 * \brief Performs a symbolic factorization on a panel of columns [jcol, jcol+w)
184 *
185 * A supernode representative is the last column of a supernode.
186 * The nonzeros in U[*,j] are segments that end at supernodes representatives
187 *
188 * The routine returns a list of the supernodal representatives
189 * in topological order of the dfs that generates them. This list is
190 * a superset of the topological order of each individual column within
191 * the panel.
192 * The location of the first nonzero in each supernodal segment
193 * (supernodal entry location) is also returned. Each column has
194 * a separate list for this purpose.
195 *
196 * Two markers arrays are used for dfs :
197 * marker[i] == jj, if i was visited during dfs of current column jj;
198 * marker1[i] >= jcol, if i was visited by earlier columns in this panel;
199 *
200 * \param[in] m number of rows in the matrix
201 * \param[in] w Panel size
202 * \param[in] jcol Starting column of the panel
203 * \param[in] A Input matrix in column-major storage
204 * \param[in] perm_r Row permutation
205 * \param[out] nseg Number of U segments
206 * \param[out] dense Accumulate the column vectors of the panel
207 * \param[out] panel_lsub Subscripts of the row in the panel
208 * \param[out] segrep Segment representative i.e first nonzero row of each segment
209 * \param[out] repfnz First nonzero location in each row
210 * \param[out] xprune The pruned elimination tree
211 * \param[out] marker work vector
212 * \param parent The elimination tree
213 * \param xplore work vector
214 * \param glu The global data structure
215 *
216 */
217
218 template <typename Scalar, typename Index>
panel_dfs(const Index m,const Index w,const Index jcol,MatrixType & A,IndexVector & perm_r,Index & nseg,ScalarVector & dense,IndexVector & panel_lsub,IndexVector & segrep,IndexVector & repfnz,IndexVector & xprune,IndexVector & marker,IndexVector & parent,IndexVector & xplore,GlobalLU_t & glu)219 void SparseLUImpl<Scalar,Index>::panel_dfs(const Index m, const Index w, const Index jcol, MatrixType& A, IndexVector& perm_r, Index& nseg, ScalarVector& dense, IndexVector& panel_lsub, IndexVector& segrep, IndexVector& repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu)
220 {
221 Index nextl_col; // Next available position in panel_lsub[*,jj]
222
223 // Initialize pointers
224 VectorBlock<IndexVector> marker1(marker, m, m);
225 nseg = 0;
226
227 panel_dfs_traits<IndexVector> traits(jcol, marker1.data());
228
229 // For each column in the panel
230 for (Index jj = jcol; jj < jcol + w; jj++)
231 {
232 nextl_col = (jj - jcol) * m;
233
234 VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero location in each row
235 VectorBlock<ScalarVector> dense_col(dense,nextl_col, m); // Accumulate a column vector here
236
237
238 // For each nnz in A[*, jj] do depth first search
239 for (typename MatrixType::InnerIterator it(A, jj); it; ++it)
240 {
241 Index krow = it.row();
242 dense_col(krow) = it.value();
243
244 Index kmark = marker(krow);
245 if (kmark == jj)
246 continue; // krow visited before, go to the next nonzero
247
248 dfs_kernel(jj, perm_r, nseg, panel_lsub, segrep, repfnz_col, xprune, marker, parent,
249 xplore, glu, nextl_col, krow, traits);
250 }// end for nonzeros in column jj
251
252 } // end for column jj
253 }
254
255 } // end namespace internal
256 } // end namespace Eigen
257
258 #endif // SPARSELU_PANEL_DFS_H
259