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<div id="projectname">SuperLU
 <span id="projectnumber">5.2.2</span>
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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="ilu__zdrop__row_8c.html#ac900805a486cbb8489e3c176ed6e0d8e">A</a>, double *r, double *c, double rowcnd, double colcnd, double amax, char *equed)</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<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>
<p>All rights reserved.</p>
<p>The source code is distributed under BSD license, see the file License.txt at the top-level directory.</p>
<pre>
– SuperLU routine (version 2.0) –
Univ. of California Berkeley, Xerox Palo Alto Research Center,
and Lawrence Berkeley National Lab.
November 15, 1997</pre><pre>Modified from LAPACK routine DLAQGE
</pre> </div><h2 class="groupheader">Macro Definition Documentation</h2>
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<td class="memname">#define THRESH   (0.1)</td>
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<h2 class="groupheader">Function Documentation</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>
</tr>
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<td class="paramkey"></td>
<td></td>
<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="paramkey"></td>
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<td class="paramtype">char * </td>
<td class="paramname"><em>equed</em> </td>
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<td>)</td>
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<pre>
<h1>Purpose
</h1>
</pre><pre></pre><pre> DLAQGS equilibrates a general sparse M by N matrix A using the row and
scaling factors in the vectors R and C.</pre><pre> See <a class="el" href="supermatrix_8h.html" title="Defines matrix types. ">supermatrix.h</a> for the definition of '<a class="el" href="structSuperMatrix.html">SuperMatrix</a>' structure.</pre><pre><h1>Arguments
</h1>
</pre><pre></pre><pre> 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.</pre><pre> R (input) double*, dimension (A->nrow)
The row scale factors for A.</pre><pre> C (input) double*, dimension (A->ncol)
The column scale factors for A.</pre><pre> ROWCND (input) double
Ratio of the smallest R(i) to the largest R(i).</pre><pre> COLCND (input) double
Ratio of the smallest C(i) to the largest C(i).</pre><pre> AMAX (input) double
Absolute value of largest matrix entry.</pre><pre> 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).</pre><pre><h1>Internal Parameters
</h1>
</pre><pre></pre><pre> 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.</pre><pre> 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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