Function forward_active

example/optimize/forward_active.cpp:87–132

}

bool forward_active(void)
{  bool ok = true;
   using CppAD::AD;
   using CppAD::NearEqual;
   double eps10 = 10.0 * std::numeric_limits<double>::epsilon();

   // domain space vector
   size_t n  = 3;
   CPPAD_TESTVECTOR(AD<double>) ax(n);
   ax[0] = 0.5;
   ax[1] = 1.5;
   ax[2] = 2.0;

   // declare independent variables and start tape recording
   CppAD::Independent(ax);

   // range space vector
   size_t m = 1;
   CPPAD_TESTVECTOR(AD<double>) ay(m);
   tape_size before, after;
   fun(ax, ay, before, after);

   // create f: x -> y and stop tape recording
   CppAD::ADFun<double> f(ax, ay);
   ok &= f.size_order() == 1; // this constructor does 0 order forward
   ok &= f.size_var() == before.n_var;
   ok &= f.size_op()  == before.n_op;

   // Optimize the operation sequence
   // Note that, for this case, all the optimization was done during
   // the recording and there is no benefit to the optimization.
   f.optimize();
   ok &= f.size_order() == 0; // 0 order forward not present
   ok &= f.size_var() == after.n_var;
   ok &= f.size_op()  == after.n_op;

   // check zero order forward with different argument value
   CPPAD_TESTVECTOR(double) x(n), y(m), check(m);
   for(size_t i = 0; i < n; i++)
      x[i] = double(i + 2);
   y    = f.Forward(0, x);
   fun(x, check, before, after);
   ok &= NearEqual(y[0], check[0], eps10, eps10);

   return ok;
}
// END C++