 given constraint.   Thus the 2nd derivative of <tt>MCL_k</tt> should be a dense or sparse symmetric   matrix of the dimensions <tt>(Nx+NYnnz) x (Nx+NYnnz)</tt> whose <tt>i,j</tt>-th element   should be
         </p><pre>    |(ddMCL_k)_ij = &lt;d^2/dx_i dx_j A_k(x,Y), Umlt&gt;|</pre><p>This offers an alternative to <tt>mconhess()</tt> in order to reduce a significant   overhead connected with repeated calls to <tt>mconhess()</tt>. Examples how to   implemented are <tt>modules/BMI/bmi_mconlagrhess.m</tt> or 