rhead of creating and using
            an object can dominate the run time, at least in MATLAB R2009a.  For this case, if you want the best performance, stick with
            BACKSLASH, or LU and LINSOLVE (just extract the appropriate formulas from the M-files in the FACTORIZE package).
         </p>
         <p>Hopefully the object-oriented overhead will drop in future versions of MATLAB, and you can ignore this caveat.</p><pre class="codeinput">A = rand (10) ; b = rand (10,1) ; F = factorize (A) ;

tic 