Added entrywise inversion and documentation for vec-vec operation

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cirdans-home
2019-11-21 13:56:22 +01:00
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<H2><A NAME="SECTION00077000000000000000">
psb_spall -- Allocates a sparse matrix</A>
<H2><A NAME="SECTION00074000000000000000">
psb_cdcpy -- Copies a communication descriptor</A>
</H2>
<P>
<PRE>
call psb_spall(a, desc_a, info, nnz)
call psb_cdcpy(desc_in, desc_out, info)
</PRE>
<P>
<DL>
<DT><STRONG>Type:</STRONG></DT>
<DD>Synchronous.
<DD>Asynchronous.
</DD>
<DT><STRONG><B>On Entry</B></STRONG></DT>
<DD>
</DD>
<DT><STRONG>desc_a</STRONG></DT>
<DT><STRONG>desc_in</STRONG></DT>
<DD>the communication descriptor.
<BR>
Scope:<B>local</B>.
@@ -75,18 +75,8 @@ Type:<B>required</B>.
Intent: <B>in</B>.
<BR>
Specified as: a structured data of type descdata<TT>psb_desc_type</TT>.
</DD>
<DT><STRONG>nnz</STRONG></DT>
<DD>An estimate of the number of nonzeroes in the local
part of the assembled matrix.
<BR>
Scope: <B>global</B>.
<BR>
Type: <B>optional</B>.
<BR>
Intent: <B>in</B>.
<BR>
Specified as: an integer value.
<P>
</DD>
</DL>
@@ -95,16 +85,16 @@ Specified as: an integer value.
<DT><STRONG><B>On Return</B></STRONG></DT>
<DD>
</DD>
<DT><STRONG>a</STRONG></DT>
<DD>the matrix to be allocated.
<DT><STRONG>desc_out</STRONG></DT>
<DD>the communication descriptor copy.
<BR>
Scope:<B>local</B>
Scope:<B>local</B>.
<BR>
Type:<B>required</B>
Type:<B>required</B>.
<BR>
Intent: <B>out</B>.
<BR>
Specified as: a structured data of type spdata<TT>psb_Tspmat_type</TT>.
Specified as: a structured data of type descdata<TT>psb_desc_type</TT>.
</DD>
<DT><STRONG>info</STRONG></DT>
<DD>Error code.
@@ -118,23 +108,6 @@ Intent: <B>out</B>.
An integer value; 0 means no error has been detected.
</DD>
</DL>
<BIG CLASS="LARGE"><B>Notes</B></BIG>
<OL>
<LI>On exit from this routine the sparse matrix is in the build
state.
</LI>
<LI>The descriptor may be in either the build or assembled state.
</LI>
<LI>Providing a good estimate for the number of nonzeroes <SPAN CLASS="MATH"><IMG
WIDTH="32" HEIGHT="13" ALIGN="BOTTOM" BORDER="0"
SRC="img107.png"
ALT="$nnz$"></SPAN> in
the assembled matrix may substantially improve performance in the
matrix build phase, as it will reduce or eliminate the need for
(potentially multiple) data reallocations.
</LI>
</OL>
<P>
<BR><HR>