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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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<BODY >
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@@ -56,7 +56,7 @@ General overview
The PSBLAS library is designed to handle the implementation of
iterative solvers for sparse linear systems on distributed memory
parallel computers. The system coefficient matrix <SPAN CLASS="MATH"><IMG
WIDTH="16" HEIGHT="14" ALIGN="BOTTOM" BORDER="0"
WIDTH="16" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
SRC="img1.png"
ALT="$A$"></SPAN> must be square;
it may be real or complex, nonsymmetric, and its sparsity pattern
@@ -75,10 +75,10 @@ calls to the serial sparse BLAS subroutines.
In a similar way, the inter-process message exchanges are encapsulated
in an applicaiton layer that has been strongly inspired by the Basic
Linear Algebra Communication Subroutines (BLACS) library&nbsp;[<A
HREF="node134.html#BLACS">7</A>].
HREF="node137.html#BLACS">7</A>].
Usually there is no need to deal directly with MPI; however, in some
cases, MPI routines are used directly to improve efficiency. For
further details on our communication layer see Sec.&nbsp;<A HREF="node99.html#sec:parenv">7</A>.
further details on our communication layer see Sec.&nbsp;<A HREF="node102.html#sec:parenv">7</A>.
<P>
@@ -131,7 +131,7 @@ equation indices to processes.
In particular it is consistent with the
usage of graph partitioning tools commonly available in the
literature, e.g. METIS&nbsp;[<A
HREF="node134.html#METIS">14</A>].
HREF="node137.html#METIS">14</A>].
Dense vectors conform to sparse
matrices, that is, the entries of a vector follow the same distribution
of the matrix rows.
@@ -151,44 +151,44 @@ bottleneck would make this option unattractive in most cases.
<A NAME="CHILD_LINKS"><STRONG>Subsections</STRONG></A>
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HREF="node4.html">Basic Nomenclature</A>
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<LI><A NAME="tex2html234"
HREF="node5.html">Library contents</A>
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HREF="node6.html">Application structure</A>
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HREF="node7.html">User-defined index mappings</A>
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<BR>
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