SparseLU_pivotL.h

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2012 Désiré Nuentsa-Wakam <[email protected]>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
 
/*
 
 * NOTE: This file is the modified version of xpivotL.c file in SuperLU
 
 * -- SuperLU routine (version 3.0) --
 * Univ. of California Berkeley, Xerox Palo Alto Research Center,
 * and Lawrence Berkeley National Lab.
 * October 15, 2003
 *
 * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
 *
 * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
 * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
 *
 * Permission is hereby granted to use or copy this program for any
 * purpose, provided the above notices are retained on all copies.
 * Permission to modify the code and to distribute modified code is
 * granted, provided the above notices are retained, and a notice that
 * the code was modified is included with the above copyright notice.
 */
#ifndef SPARSELU_PIVOTL_H
#define SPARSELU_PIVOTL_H
 
// IWYU pragma: private
#include "./InternalHeaderCheck.h"
 
namespace Eigen {
namespace internal {
 
template <typename Scalar, typename StorageIndex>
Index SparseLUImpl<Scalar, StorageIndex>::pivotL(const Index jcol, const RealScalar& diagpivotthresh,
                                                 IndexVector& perm_r, IndexVector& iperm_c, Index& pivrow,
                                                 GlobalLU_t& glu) {
  Index fsupc = (glu.xsup)((glu.supno)(jcol));  // First column in the supernode containing the column jcol
  Index nsupc = jcol - fsupc;                   // Number of columns in the supernode portion, excluding jcol; nsupc >=0
  Index lptr = glu.xlsub(fsupc);  // pointer to the starting location of the row subscripts for this supernode portion
  Index nsupr = glu.xlsub(fsupc + 1) - lptr;                    // Number of rows in the supernode
  Index lda = glu.xlusup(fsupc + 1) - glu.xlusup(fsupc);        // leading dimension
  Scalar* lu_sup_ptr = &(glu.lusup.data()[glu.xlusup(fsupc)]);  // Start of the current supernode
  Scalar* lu_col_ptr = &(glu.lusup.data()[glu.xlusup(jcol)]);   // Start of jcol in the supernode
  StorageIndex* lsub_ptr = &(glu.lsub.data()[lptr]);            // Start of row indices of the supernode
 
  // Determine the largest abs numerical value for partial pivoting
  Index diagind = iperm_c(jcol);  // diagonal index
  RealScalar pivmax(-1.0);
  Index pivptr = nsupc;
  Index diag = emptyIdxLU;
  RealScalar rtemp;
  Index isub, icol, itemp, k;
  for (isub = nsupc; isub < nsupr; ++isub) {
    using std::abs;
    rtemp = abs(lu_col_ptr[isub]);
    if (rtemp > pivmax) {
      pivmax = rtemp;
      pivptr = isub;
    }
    if (lsub_ptr[isub] == diagind) diag = isub;
  }
 
  // Test for singularity
  if (pivmax <= RealScalar(0.0)) {
    // if pivmax == -1, the column is structurally empty, otherwise it is only numerically zero
    pivrow = pivmax < RealScalar(0.0) ? diagind : lsub_ptr[pivptr];
    perm_r(pivrow) = StorageIndex(jcol);
    return (jcol + 1);
  }
 
  RealScalar thresh = diagpivotthresh * pivmax;
 
  // Choose appropriate pivotal element
 
  {
    // Test if the diagonal element can be used as a pivot (given the threshold value)
    if (diag >= 0) {
      // Diagonal element exists
      using std::abs;
      rtemp = abs(lu_col_ptr[diag]);
      if (rtemp != RealScalar(0.0) && rtemp >= thresh) pivptr = diag;
    }
    pivrow = lsub_ptr[pivptr];
  }
 
  // Record pivot row
  perm_r(pivrow) = StorageIndex(jcol);
  // Interchange row subscripts
  if (pivptr != nsupc) {
    std::swap(lsub_ptr[pivptr], lsub_ptr[nsupc]);
    // Interchange numerical values as well, for the two rows in the whole snode
    // such that L is indexed the same way as A
    for (icol = 0; icol <= nsupc; icol++) {
      itemp = pivptr + icol * lda;
      std::swap(lu_sup_ptr[itemp], lu_sup_ptr[nsupc + icol * lda]);
    }
  }
  // cdiv operations
  Scalar temp = Scalar(1.0) / lu_col_ptr[nsupc];
  for (k = nsupc + 1; k < nsupr; k++) lu_col_ptr[k] *= temp;
  return 0;
}
 
}  // end namespace internal
}  // end namespace Eigen
 
#endif  // SPARSELU_PIVOTL_H