NAME

       ad3 - automatic differentiation with respect to variables in R^3

DESCRIPTION

       The   ad3  class  defines  a  forward  automatic  differentiation  in  R^3  for  computing
       automatically the gradient of a function from R^3 to R.  The implementation uses a  simple
       forward automatic differentiation method.

EXAMPLE

           template<class T>
           T f (const point_basic<T>& x) { return sqr(x[0]) + x[0]*x[1] + 1/x[2]; }
           ...
           point_basic<ad3> x_ad = ad3::point (x);
           ad3 y_ad = f(x_ad);
           cout << "f       ="<<y_ad <<endl
                << "gradq(f)="<<y_ad.grad() <<endl;

COPYRIGHT

       Copyright  (C) 2000-2018 Pierre Saramito <Pierre.Saramito@imag.fr> GPLv3+: GNU GPL version
       3 or later <http://gnu.org/licenses/gpl.html>.  This is free software:  you  are  free  to
       change and redistribute it.  There is NO WARRANTY, to the extent permitted by law.