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<div id="projectname">SuperLU
 <span id="projectnumber">5.2.0</span>
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<p>Computes row and column scalings.
<a href="#details">More...</a></p>
<div class="textblock"><code>#include <math.h></code><br/>
<code>#include "<a class="el" href="slu__cdefs_8h_source.html">slu_cdefs.h</a>"</code><br/>
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Include dependency graph for cgsequ.c:</div>
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Functions</h2></td></tr>
<tr class="memitem:a36bb68fea3ee44ff05eb7da2ee059fa5"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="cgsequ_8c.html#a36bb68fea3ee44ff05eb7da2ee059fa5">cgsequ</a> (<a class="el" href="structSuperMatrix.html">SuperMatrix</a> *<a class="el" href="ilu__zdrop__row_8c.html#ac900805a486cbb8489e3c176ed6e0d8e">A</a>, float *r, float *c, float *rowcnd, float *colcnd, float *amax, int *info)</td></tr>
<tr class="memdesc:a36bb68fea3ee44ff05eb7da2ee059fa5"><td class="mdescLeft"> </td><td class="mdescRight">Driver related. <a href="#a36bb68fea3ee44ff05eb7da2ee059fa5">More...</a><br/></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 CGEEQU
</pre> </div><h2 class="groupheader">Function Documentation</h2>
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<td class="memname">void cgsequ </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">float * </td>
<td class="paramname"><em>r</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float * </td>
<td class="paramname"><em>c</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float * </td>
<td class="paramname"><em>rowcnd</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float * </td>
<td class="paramname"><em>colcnd</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float * </td>
<td class="paramname"><em>amax</em>, </td>
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<td class="paramtype">int * </td>
<td class="paramname"><em>info</em> </td>
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<td>)</td>
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<pre>
<h1>Purpose
</h1>
</pre><pre></pre><pre> CGSEQU computes row and column scalings intended to equilibrate an
M-by-N sparse matrix A and reduce its condition number. R returns the row
scale factors and C the column scale factors, chosen to try to make
the largest element in each row and column of the matrix B with
elements B(i,j)=R(i)*A(i,j)*C(j) have absolute value 1.</pre><pre> R(i) and C(j) are restricted to be between SMLNUM = smallest safe
number and BIGNUM = largest safe number. Use of these scaling
factors is not guaranteed to reduce the condition number of A but
works well in practice.</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) SuperMatrix*
The matrix of dimension (A->nrow, A->ncol) whose equilibration
factors are to be computed. The type of A can be:
Stype = SLU_NC; Dtype = SLU_C; Mtype = SLU_GE.</pre><pre> R (output) float*, size A->nrow
If INFO = 0 or INFO > M, R contains the row scale factors
for A.</pre><pre> C (output) float*, size A->ncol
If INFO = 0, C contains the column scale factors for A.</pre><pre> ROWCND (output) float*
If INFO = 0 or INFO > M, ROWCND contains the ratio of the
smallest R(i) to the largest R(i). If ROWCND >= 0.1 and
AMAX is neither too large nor too small, it is not worth
scaling by R.</pre><pre> COLCND (output) float*
If INFO = 0, COLCND contains the ratio of the smallest
C(i) to the largest C(i). If COLCND >= 0.1, it is not
worth scaling by C.</pre><pre> AMAX (output) float*
Absolute value of largest matrix element. If AMAX is very
close to overflow or very close to underflow, the matrix
should be scaled.</pre><pre> INFO (output) int*
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= A->nrow: the i-th row of A is exactly zero
> A->ncol: the (i-M)-th column of A is exactly zero
</p>
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