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<H2><A NAME="SECTION00044000000000000000"></A>
<A NAME="sec:vecttype"></A>
<BR>
Dense Vector Data Structure
</H2>
The vdata<TT>psb_T_vect_type</TT> data structure
encapsulates the dense vectors in a way similar to sparse matrices,
i.e. including a base type vbasedata<TT>    psb_T_base_vect_type</TT>.  
The user will not, in general, access the vector components directly,
but rather via the routines of sec.&nbsp;<A HREF="node56.html#sec:toolsrout">6</A>. Among other
simple things, we define here an extraction method that can be used to
get a full copy of the part of the vector stored on the local
process. 

<P>
The type declaration is shown in
figure&nbsp;<A HREF="#fig:vectype">5</A> where <code>T</code> is a placeholder for the
data type and precision variants 
<DL>
<DT><STRONG>I</STRONG></DT>
<DD>Integer;
</DD>
<DT><STRONG>S</STRONG></DT>
<DD>Single precision real;
</DD>
<DT><STRONG>D</STRONG></DT>
<DD>Double precision real;
</DD>
<DT><STRONG>C</STRONG></DT>
<DD>Single precision complex;
</DD>
<DT><STRONG>Z</STRONG></DT>
<DD>Double precision complex.
</DD>
</DL>
The actual data is contained in the polymorphic component <code>v%v</code>; 
the separation between the application and the actual data is
essential for cases where it is necessary to link to data storage made
available elsewhere outside the direct control of the
compiler/application, e.g. data stored in a graphics  accelerator's
private memory. 

<DIV ALIGN="CENTER"><A NAME="fig:vectype"></A><A NAME="732"></A>
<TABLE>
<CAPTION ALIGN="BOTTOM"><STRONG>Figure 5:</STRONG>
    The PSBLAS defined data type that
    contains a dense vector.</CAPTION>
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<PRE>
  type psb_T_base_vect_type
    TYPE(KIND_), allocatable :: v(:)
  end type psb_T_base_vect_type

  type psb_T_vect_type
    class(psb_T_base_vect_type), allocatable :: v 
  end type  psb_T_vect_type
</PRE></TD></TR>
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<!--Table of Child-Links-->
<A NAME="CHILD_LINKS"><STRONG>Subsections</STRONG></A>

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<LI><A NAME="tex2html573"
  HREF="node31.html">Methods</A>
<LI><A NAME="tex2html574"
  HREF="node32.html">get_nrows -- Get number of  rows in a dense vector</A>
<LI><A NAME="tex2html575"
  HREF="node33.html">get_ncols -- Get number of  columns in a  sparse matrix</A>
<LI><A NAME="tex2html576"
  HREF="node34.html">sizeof  -- Get memory occupation in bytes
of  a dense vector matrix</A>
<LI><A NAME="tex2html577"
  HREF="node35.html">get_vect  -- Get a copy of the vector contents</A>
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