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]column_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_COLUMN_DFS_H 31#define SPARSELU_COLUMN_DFS_H 32 33template <typename Scalar, typename Index> class SparseLUImpl; 34namespace Eigen { 35 36namespace internal { 37 38template<typename IndexVector, typename ScalarVector> 39struct column_dfs_traits : no_assignment_operator 40{ 41 typedef typename ScalarVector::Scalar Scalar; 42 typedef typename IndexVector::Scalar Index; 43 column_dfs_traits(Index jcol, Index& jsuper, typename SparseLUImpl<Scalar, Index>::GlobalLU_t& glu, SparseLUImpl<Scalar, Index>& luImpl) 44 : m_jcol(jcol), m_jsuper_ref(jsuper), m_glu(glu), m_luImpl(luImpl) 45 {} 46 bool update_segrep(Index /*krep*/, Index /*jj*/) 47 { 48 return true; 49 } 50 void mem_expand(IndexVector& lsub, Index& nextl, Index chmark) 51 { 52 if (nextl >= m_glu.nzlmax) 53 m_luImpl.memXpand(lsub, m_glu.nzlmax, nextl, LSUB, m_glu.num_expansions); 54 if (chmark != (m_jcol-1)) m_jsuper_ref = emptyIdxLU; 55 } 56 enum { ExpandMem = true }; 57 58 Index m_jcol; 59 Index& m_jsuper_ref; 60 typename SparseLUImpl<Scalar, Index>::GlobalLU_t& m_glu; 61 SparseLUImpl<Scalar, Index>& m_luImpl; 62}; 63 64 65/** 66 * \brief Performs a symbolic factorization on column jcol and decide the supernode boundary 67 * 68 * A supernode representative is the last column of a supernode. 69 * The nonzeros in U[*,j] are segments that end at supernodes representatives. 70 * The routine returns a list of the supernodal representatives 71 * in topological order of the dfs that generates them. 72 * The location of the first nonzero in each supernodal segment 73 * (supernodal entry location) is also returned. 74 * 75 * \param m number of rows in the matrix 76 * \param jcol Current column 77 * \param perm_r Row permutation 78 * \param maxsuper Maximum number of column allowed in a supernode 79 * \param [in,out] nseg Number of segments in current U[*,j] - new segments appended 80 * \param lsub_col defines the rhs vector to start the dfs 81 * \param [in,out] segrep Segment representatives - new segments appended 82 * \param repfnz First nonzero location in each row 83 * \param xprune 84 * \param marker marker[i] == jj, if i was visited during dfs of current column jj; 85 * \param parent 86 * \param xplore working array 87 * \param glu global LU data 88 * \return 0 success 89 * > 0 number of bytes allocated when run out of space 90 * 91 */ 92template <typename Scalar, typename Index> 93Index SparseLUImpl<Scalar,Index>::column_dfs(const Index m, const Index jcol, IndexVector& perm_r, Index maxsuper, Index& nseg, BlockIndexVector lsub_col, IndexVector& segrep, BlockIndexVector repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu) 94{ 95 96 Index jsuper = glu.supno(jcol); 97 Index nextl = glu.xlsub(jcol); 98 VectorBlock<IndexVector> marker2(marker, 2*m, m); 99 100 101 column_dfs_traits<IndexVector, ScalarVector> traits(jcol, jsuper, glu, *this); 102 103 // For each nonzero in A(*,jcol) do dfs 104 for (Index k = 0; ((k < m) ? lsub_col[k] != emptyIdxLU : false) ; k++) 105 { 106 Index krow = lsub_col(k); 107 lsub_col(k) = emptyIdxLU; 108 Index kmark = marker2(krow); 109 110 // krow was visited before, go to the next nonz; 111 if (kmark == jcol) continue; 112 113 dfs_kernel(jcol, perm_r, nseg, glu.lsub, segrep, repfnz, xprune, marker2, parent, 114 xplore, glu, nextl, krow, traits); 115 } // for each nonzero ... 116 117 Index fsupc, jptr, jm1ptr, ito, ifrom, istop; 118 Index nsuper = glu.supno(jcol); 119 Index jcolp1 = jcol + 1; 120 Index jcolm1 = jcol - 1; 121 122 // check to see if j belongs in the same supernode as j-1 123 if ( jcol == 0 ) 124 { // Do nothing for column 0 125 nsuper = glu.supno(0) = 0 ; 126 } 127 else 128 { 129 fsupc = glu.xsup(nsuper); 130 jptr = glu.xlsub(jcol); // Not yet compressed 131 jm1ptr = glu.xlsub(jcolm1); 132 133 // Use supernodes of type T2 : see SuperLU paper 134 if ( (nextl-jptr != jptr-jm1ptr-1) ) jsuper = emptyIdxLU; 135 136 // Make sure the number of columns in a supernode doesn't 137 // exceed threshold 138 if ( (jcol - fsupc) >= maxsuper) jsuper = emptyIdxLU; 139 140 /* If jcol starts a new supernode, reclaim storage space in 141 * glu.lsub from previous supernode. Note we only store 142 * the subscript set of the first and last columns of 143 * a supernode. (first for num values, last for pruning) 144 */ 145 if (jsuper == emptyIdxLU) 146 { // starts a new supernode 147 if ( (fsupc < jcolm1-1) ) 148 { // >= 3 columns in nsuper 149 ito = glu.xlsub(fsupc+1); 150 glu.xlsub(jcolm1) = ito; 151 istop = ito + jptr - jm1ptr; 152 xprune(jcolm1) = istop; // intialize xprune(jcol-1) 153 glu.xlsub(jcol) = istop; 154 155 for (ifrom = jm1ptr; ifrom < nextl; ++ifrom, ++ito) 156 glu.lsub(ito) = glu.lsub(ifrom); 157 nextl = ito; // = istop + length(jcol) 158 } 159 nsuper++; 160 glu.supno(jcol) = nsuper; 161 } // if a new supernode 162 } // end else: jcol > 0 163 164 // Tidy up the pointers before exit 165 glu.xsup(nsuper+1) = jcolp1; 166 glu.supno(jcolp1) = nsuper; 167 xprune(jcol) = nextl; // Intialize upper bound for pruning 168 glu.xlsub(jcolp1) = nextl; 169 170 return 0; 171} 172 173} // end namespace internal 174 175} // end namespace Eigen 176 177#endif 178