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<p>Equlibrates a general sprase matrix.
<a href="#details">More...</a></p>
<div class="textblock"><code>#include <math.h></code><br />
<code>#include "<a class="el" href="slu__ddefs_8h_source.html">slu_ddefs.h</a>"</code><br />
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<tr class="memitem:a0656018abfc9fa2821827415f5d5ea57"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="dlaqgs_8c.html#a0656018abfc9fa2821827415f5d5ea57">THRESH</a>   (0.1)</td></tr>
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<tr class="memitem:a07e1fa4926680eb02069087f0aa26fa1"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="dlaqgs_8c.html#a07e1fa4926680eb02069087f0aa26fa1">dlaqgs</a> (<a class="el" href="structSuperMatrix.html">SuperMatrix</a> *<a class="el" href="zsymv_8c.html#af5d6242ff783dd9efca51eeec1c234f7">A</a>, double *r, double *c, double rowcnd, double colcnd, double amax, char *equed)</td></tr>
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<div class="textblock"><p >Copyright (c) 2003, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from U.S. Dept. of Energy)</p>
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<pre>
-- SuperLU routine (version 2.0) --
Univ. of California Berkeley, Xerox Palo Alto Research Center,
and Lawrence Berkeley National Lab.
November 15, 1997
Modified from LAPACK routine DLAQGE
</pre> </div><h2 class="groupheader">Macro Definition Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a0656018abfc9fa2821827415f5d5ea57">◆ </a></span>THRESH</h2>
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<td class="memname">#define THRESH   (0.1)</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a07e1fa4926680eb02069087f0aa26fa1">◆ </a></span>dlaqgs()</h2>
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<td class="memname">void dlaqgs </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structSuperMatrix.html">SuperMatrix</a> * </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">double * </td>
<td class="paramname"><em>r</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">double * </td>
<td class="paramname"><em>c</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">double </td>
<td class="paramname"><em>rowcnd</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">double </td>
<td class="paramname"><em>colcnd</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">double </td>
<td class="paramname"><em>amax</em>, </td>
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<td class="paramtype">char * </td>
<td class="paramname"><em>equed</em> </td>
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<pre>
Purpose
=======
DLAQGS equilibrates a general sparse M by N matrix A using the row and
scaling factors in the vectors R and C.
See <a class="el" href="supermatrix_8h.html" title="Matrix type definitions.">supermatrix.h</a> for the definition of '<a class="el" href="structSuperMatrix.html">SuperMatrix</a>' structure.
Arguments
=========
A (input/output) SuperMatrix*
On exit, the equilibrated matrix. See EQUED for the form of
the equilibrated matrix. The type of A can be:
Stype = NC; Dtype = SLU_D; Mtype = GE.
R (input) double*, dimension (A->nrow)
The row scale factors for A.
C (input) double*, dimension (A->ncol)
The column scale factors for A.
ROWCND (input) double
Ratio of the smallest R(i) to the largest R(i).
COLCND (input) double
Ratio of the smallest C(i) to the largest C(i).
AMAX (input) double
Absolute value of largest matrix entry.
EQUED (output) char*
Specifies the form of equilibration that was done.
= 'N': No equilibration
= 'R': Row equilibration, i.e., A has been premultiplied by
diag(R).
= 'C': Column equilibration, i.e., A has been postmultiplied
by diag(C).
= 'B': Both row and column equilibration, i.e., A has been
replaced by diag(R) * A * diag(C).
Internal Parameters
===================
THRESH is a threshold value used to decide if row or column scaling
should be done based on the ratio of the row or column scaling
factors. If ROWCND < THRESH, row scaling is done, and if
COLCND < THRESH, column scaling is done.
LARGE and SMALL are threshold values used to decide if row scaling
should be done based on the absolute size of the largest matrix
element. If AMAX > LARGE or AMAX < SMALL, row scaling is done.
=====================================================================
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