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<A NAME="MAT_SOLVER_SPOOLES"><H1>MAT_SOLVER_SPOOLES</H1></A>
"spooles" - a matrix type providing direct solvers (LU and Cholesky) for distributed symmetric and non-symmetric  matrices via the external package Spooles. If Spooles is installed (run config/configure.py with the option --download-spooles)
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<H3><FONT COLOR="#CC3333">Options Database Keys</FONT></H3>
<TABLE border="0" cellpadding="0" cellspacing="0">
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_tau &lt;tau&gt; </B></TD><TD>- upper bound on the magnitude of the largest element in L or U
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_seed &lt;seed&gt; </B></TD><TD>- random number seed used for ordering
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_msglvl &lt;msglvl&gt; </B></TD><TD>- message output level
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_ordering &lt;BestOfNDandMS,MMD,MS,ND&gt; </B></TD><TD>- ordering used
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_maxdomainsize &lt;n&gt; </B></TD><TD>- maximum subgraph size used by Spooles orderings
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_maxzeros &lt;n&gt; </B></TD><TD>- maximum number of zeros inside a supernode
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_maxsize &lt;n&gt; </B></TD><TD>- maximum size of a supernode
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_FrontMtxInfo &lt;true,fase&gt; </B></TD><TD>- print Spooles information about the computed factorization
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_symmetryflag &lt;0,1,2&gt; </B></TD><TD>- 0: SPOOLES_SYMMETRIC, 1: SPOOLES_HERMITIAN, 2: SPOOLES_NONSYMMETRIC
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_patchAndGoFlag &lt;0,1,2&gt; </B></TD><TD>- 0: no patch, 1: use PatchAndGo strategy 1, 2: use PatchAndGo strategy 2
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_toosmall &lt;dt&gt; </B></TD><TD>- drop tolerance for PatchAndGo strategy 1
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_storeids &lt;bool integer&gt; </B></TD><TD>- if nonzero, stores row and col numbers where patches were applied in an IV object
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_fudge &lt;delta&gt; </B></TD><TD>- fudge factor for rescaling diagonals with PatchAndGo strategy 2
</TD></TR>
<TR><TD WIDTH=40></TD><TD ALIGN=LEFT VALIGN=TOP><B>-mat_spooles_storevalues &lt;bool integer&gt; </B></TD><TD>- if nonzero and PatchAndGo strategy 2 is used, store change in diagonal value in a DV object
</TD></TR></TABLE>
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<P>
<H3><FONT COLOR="#CC3333">See Also</FONT></H3>
 <A HREF="../Mat/MAT_SOLVER_SUPERLU.html#MAT_SOLVER_SUPERLU">MAT_SOLVER_SUPERLU</A>, <A HREF="../Mat/MAT_SOLVER_MUMPS.html#MAT_SOLVER_MUMPS">MAT_SOLVER_MUMPS</A>, <A HREF="../Mat/MAT_SOLVER_SUPERLU_DIST.html#MAT_SOLVER_SUPERLU_DIST">MAT_SOLVER_SUPERLU_DIST</A>, <A HREF="../PC/PCFactorSetMatSolverPackage.html#PCFactorSetMatSolverPackage">PCFactorSetMatSolverPackage</A>(), <A HREF="../Mat/MatSolverPackage.html#MatSolverPackage">MatSolverPackage</A> 
<BR><P><B><P><B><FONT COLOR="#CC3333">Level:</FONT></B>beginner
<BR><FONT COLOR="#CC3333">Location:</FONT></B><A HREF="../../../src/mat/impls/sbaij/mpi/spooles/mpisbaijspooles.c.html#MAT_SOLVER_SPOOLES">src/mat/impls/sbaij/mpi/spooles/mpisbaijspooles.c</A>
<BR><A HREF="./index.html">Index of all Mat routines</A>
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