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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 /* This file is a modified version of heap_relax_snode.c file in SuperLU
     11  * -- SuperLU routine (version 3.0) --
     12  * Univ. of California Berkeley, Xerox Palo Alto Research Center,
     13  * and Lawrence Berkeley National Lab.
     14  * October 15, 2003
     15  *
     16  * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
     17  *
     18  * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
     19  * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
     20  *
     21  * Permission is hereby granted to use or copy this program for any
     22  * purpose, provided the above notices are retained on all copies.
     23  * Permission to modify the code and to distribute modified code is
     24  * granted, provided the above notices are retained, and a notice that
     25  * the code was modified is included with the above copyright notice.
     26  */
     27 
     28 #ifndef SPARSELU_HEAP_RELAX_SNODE_H
     29 #define SPARSELU_HEAP_RELAX_SNODE_H
     30 
     31 namespace Eigen {
     32 namespace internal {
     33 
     34 /**
     35  * \brief Identify the initial relaxed supernodes
     36  *
     37  * This routine applied to a symmetric elimination tree.
     38  * It assumes that the matrix has been reordered according to the postorder of the etree
     39  * \param n The number of columns
     40  * \param et elimination tree
     41  * \param relax_columns Maximum number of columns allowed in a relaxed snode
     42  * \param descendants Number of descendants of each node in the etree
     43  * \param relax_end last column in a supernode
     44  */
     45 template <typename Scalar, typename StorageIndex>
     46 void SparseLUImpl<Scalar,StorageIndex>::heap_relax_snode (const Index n, IndexVector& et, const Index relax_columns, IndexVector& descendants, IndexVector& relax_end)
     47 {
     48 
     49   // The etree may not be postordered, but its heap ordered
     50   IndexVector post;
     51   internal::treePostorder(StorageIndex(n), et, post); // Post order etree
     52   IndexVector inv_post(n+1);
     53   for (StorageIndex i = 0; i < n+1; ++i) inv_post(post(i)) = i; // inv_post = post.inverse()???
     54 
     55   // Renumber etree in postorder
     56   IndexVector iwork(n);
     57   IndexVector et_save(n+1);
     58   for (Index i = 0; i < n; ++i)
     59   {
     60     iwork(post(i)) = post(et(i));
     61   }
     62   et_save = et; // Save the original etree
     63   et = iwork;
     64 
     65   // compute the number of descendants of each node in the etree
     66   relax_end.setConstant(emptyIdxLU);
     67   Index j, parent;
     68   descendants.setZero();
     69   for (j = 0; j < n; j++)
     70   {
     71     parent = et(j);
     72     if (parent != n) // not the dummy root
     73       descendants(parent) += descendants(j) + 1;
     74   }
     75   // Identify the relaxed supernodes by postorder traversal of the etree
     76   Index snode_start; // beginning of a snode
     77   StorageIndex k;
     78   Index nsuper_et_post = 0; // Number of relaxed snodes in postordered etree
     79   Index nsuper_et = 0; // Number of relaxed snodes in the original etree
     80   StorageIndex l;
     81   for (j = 0; j < n; )
     82   {
     83     parent = et(j);
     84     snode_start = j;
     85     while ( parent != n && descendants(parent) < relax_columns )
     86     {
     87       j = parent;
     88       parent = et(j);
     89     }
     90     // Found a supernode in postordered etree, j is the last column
     91     ++nsuper_et_post;
     92     k = StorageIndex(n);
     93     for (Index i = snode_start; i <= j; ++i)
     94       k = (std::min)(k, inv_post(i));
     95     l = inv_post(j);
     96     if ( (l - k) == (j - snode_start) )  // Same number of columns in the snode
     97     {
     98       // This is also a supernode in the original etree
     99       relax_end(k) = l; // Record last column
    100       ++nsuper_et;
    101     }
    102     else
    103     {
    104       for (Index i = snode_start; i <= j; ++i)
    105       {
    106         l = inv_post(i);
    107         if (descendants(i) == 0)
    108         {
    109           relax_end(l) = l;
    110           ++nsuper_et;
    111         }
    112       }
    113     }
    114     j++;
    115     // Search for a new leaf
    116     while (descendants(j) != 0 && j < n) j++;
    117   } // End postorder traversal of the etree
    118 
    119   // Recover the original etree
    120   et = et_save;
    121 }
    122 
    123 } // end namespace internal
    124 
    125 } // end namespace Eigen
    126 #endif // SPARSELU_HEAP_RELAX_SNODE_H
    127