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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 Dsir Nuentsa-Wakam <desire.nuentsa_wakam (at) 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 StorageIndex;
     41   panel_dfs_traits(Index jcol, StorageIndex* marker)
     42     : m_jcol(jcol), m_marker(marker)
     43   {}
     44   bool update_segrep(Index krep, StorageIndex jj)
     45   {
     46     if(m_marker[krep]<m_jcol)
     47     {
     48       m_marker[krep] = jj;
     49       return true;
     50     }
     51     return false;
     52   }
     53   void mem_expand(IndexVector& /*glu.lsub*/, Index /*nextl*/, Index /*chmark*/) {}
     54   enum { ExpandMem = false };
     55   Index m_jcol;
     56   StorageIndex* m_marker;
     57 };
     58 
     59 
     60 template <typename Scalar, typename StorageIndex>
     61 template <typename Traits>
     62 void SparseLUImpl<Scalar,StorageIndex>::dfs_kernel(const StorageIndex 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   StorageIndex kmark = marker(krow);
     71 
     72   // For each unmarked krow of jj
     73   marker(krow) = jj;
     74   StorageIndex 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++) = StorageIndex(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     StorageIndex krep = glu.xsup(glu.supno(kperm)+1) - 1;
     87     // First nonzero element in the current column:
     88     StorageIndex 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       StorageIndex oldrep = emptyIdxLU;
    100       parent(krep) = oldrep;
    101       repfnz_col(krep) = kperm;
    102       StorageIndex xdfs =  glu.xlsub(krep);
    103       Index maxdfs = xprune(krep);
    104 
    105       StorageIndex kpar;
    106       do
    107       {
    108         // For each unmarked kchild of krep
    109         while (xdfs < maxdfs)
    110         {
    111           StorageIndex kchild = glu.lsub(xdfs);
    112           xdfs++;
    113           StorageIndex chmark = marker(kchild);
    114 
    115           if (chmark != jj )
    116           {
    117             marker(kchild) = jj;
    118             StorageIndex 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               StorageIndex 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 StorageIndex>
    219 void SparseLUImpl<Scalar,StorageIndex>::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 (StorageIndex jj = StorageIndex(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       StorageIndex 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