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<H2><A NAME="SECTION000448000000000000000">SLA_DMAT - Solve Simultaneous Equations</A>
<A NAME="xref_SLA_DMAT">&#160;</A><A NAME="SLA_DMAT">&#160;</A>
</H2>
       <DL>
<DT><STRONG>ACTION:</STRONG>
<DD>Matrix inversion and solution of simultaneous equations
(double precision).
<P>    <DT><STRONG>CALL:</STRONG>
<DD><TT>CALL sla_DMAT (N, A, Y, D, JF, IW)</TT>
<P>       </DL>
<P>     <DL>
<DT><STRONG>GIVEN:</STRONG>
<DD>
<BR>
<TABLE CELLPADDING=3>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>N</EM></TD>
<TH ALIGN="LEFT"><B>I</B></TH>
<TD ALIGN="LEFT" NOWRAP>number of unknowns</TD>
</TR>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>A</EM></TD>
<TD ALIGN="LEFT"><B>D(N,N)</B></TD>
<TD ALIGN="LEFT" NOWRAP>matrix</TD>
</TR>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>Y</EM></TD>
<TD ALIGN="LEFT"><B>D(N)</B></TD>
<TD ALIGN="LEFT" NOWRAP>vector</TD>
</TR>
</TABLE></DL>
<P>     <DL>
<DT><STRONG>RETURNED:</STRONG>
<DD>
<BR>
<TABLE CELLPADDING=3>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>A</EM></TD>
<TH ALIGN="LEFT"><B>D(N,N)</B></TH>
<TD ALIGN="LEFT" NOWRAP>matrix inverse</TD>
</TR>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>Y</EM></TD>
<TD ALIGN="LEFT"><B>D(N)</B></TD>
<TD ALIGN="LEFT" NOWRAP>solution</TD>
</TR>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>D</EM></TD>
<TD ALIGN="LEFT"><B>D</B></TD>
<TD ALIGN="LEFT" NOWRAP>determinant</TD>
</TR>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>JF</EM></TD>
<TD ALIGN="LEFT"><B>I</B></TD>
<TD ALIGN="LEFT" NOWRAP>singularity flag: 0=OK</TD>
</TR>
<TR VALIGN="TOP"><TD ALIGN="LEFT"><EM>IW</EM></TD>
<TD ALIGN="LEFT"><B>I(N)</B></TD>
<TD ALIGN="LEFT" NOWRAP>workspace</TD>
</TR>
</TABLE></DL>
<P>      <DL>
<DT><STRONG>NOTES:</STRONG>
<DD><DL COMPACT>
<DT>1.
<DD>For the set of <I>n</I> simultaneous linear equations in <I>n</I> unknowns:
<BLOCKQUOTE><B>A</B><IMG WIDTH="7" HEIGHT="14" ALIGN="BOTTOM" BORDER="0"
 SRC="img72.gif"
 ALT="$\cdot$"><B>y</B> = <B>x</B>
</BLOCKQUOTE>
        where:
        <UL>
<LI> <B>A</B> is a non-singular <IMG WIDTH="42" HEIGHT="25" ALIGN="MIDDLE" BORDER="0"
 SRC="img73.gif"
 ALT="$n \times n$"> matrix,
<LI> <B>y</B> is the vector of <I>n</I> unknowns, and
<LI> <B>x</B> is the known vector,
        </UL>
        sla_DMAT computes:
        <UL>
<LI> the inverse of matrix <B>A</B>,
<LI> the determinant of matrix <B>A</B>, and
<LI> the vector of <I>n</I> unknowns <B>y</B>.
        </UL>
        Argument N is the order <I>n</I>, A (given) is the matrix <B>A</B>,
        Y (given) is the vector <B>x</B> and Y (returned)
        is the vector <B>y</B>.
        The argument A (returned) is the inverse matrix <B>A</B><SUP>-1</SUP>,
        and D is <I>det</I>(<B>A</B>).
  <DT>2.
<DD>JF is the singularity flag.  If the matrix is non-singular,
        JF=0 is returned.  If the matrix is singular, JF=-1
        and D=0D0 are returned.  In the latter case, the contents
        of array A on return are undefined.
  <DT>3.
<DD>The algorithm is Gaussian elimination with partial pivoting.
        This method is very fast;  some much slower algorithms can give
        better accuracy, but only by a small factor.
  <DT>4.
<DD>This routine replaces the obsolete sla_DMATRX.
 </DL></DL>
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<ADDRESS>
<I>SLALIB --- Positional Astronomy Library<BR>Starlink User Note 67<BR>P. T. Wallace<BR>12 October 1999<BR>E-mail:ptw@star.rl.ac.uk</I>
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