/* X10AA_A1W_F C++ Header Example Program.
*
* Copyright 2019 Numerical Algorithms Group.
* Mark 27, 2019.
*/
#include <nag.h>
#include <nagad.h>
#include <stdio.h>
#include <nag_stdlib.h>
#include <iostream>
using namespace std;
int main(void)
{
/* Scalars */
Integer exit_status = 0, ierr_not_implemented = -199;
nagad_a1w_w_rtype x, y;
Integer ifail, mode;
double dydx, dydx_exp, y1, inc;
/* Arrays */
void *ad_handle = 0;
cout << "X10AA_A1W_F C++ Header Example Program Results\n\n";
x.value = 0.1;
x.id = 0;
cout << "Computing ln(1+x) and its adjoint using s01ba\n\n";
/* Create AD tape */
nagad_a1w_ir_create();
/* Create AD configuration data object */
ifail = 0;
x10aa_a1w_f_(ad_handle,ifail);
/* Set computational mode to nagad_symbolic */
mode = nagad_symbolic;
ifail = 0;
x10ac_a1w_f_(ad_handle,mode,ifail);
/* Get and print computational mode */
/* Register variables to differentiate w.r.t. */
ifail = 0;
x10ad_a1w_f_(ad_handle,mode,ifail);
if (mode==nagad_symbolic) {
cout << "Symbolic computational mode is being used\n\n";
} else if (mode==nagad_algorithmic) {
cout << "Algorithmic computational mode is being used\n\n";
}
/* Try AD computation that expects to use only the algorithmic mode */
ifail = 1;
s01ba_a1w_f_(ad_handle,x,y,ifail);
if (ifail==ierr_not_implemented) {
cout << "AD computation failed as expected with ifail = " << ifail << "\n\n";
} else {
cout << " Unexpected IFAIL returned in AD computation\n";
cout << " ifail expected: " << ierr_not_implemented << ifail << "\n";
cout << " ifail returned: " << ifail << "\n";
exit_status = 1;
goto END;
}
/* Reset computational mode to nagad_algorithmic */
mode = nagad_algorithmic;
ifail = 0;
x10ac_a1w_f_(ad_handle,mode,ifail);
ifail = 0;
x10ad_a1w_f_(ad_handle,mode,ifail);
if (mode==nagad_symbolic) {
cout << "Symbolic computational mode is being used\n\n";
} else if (mode==nagad_algorithmic) {
cout << "Algorithmic computational mode is being used\n\n";
}
nagad_a1w_ir_register_variable(&x);
ifail = 0;
s01ba_a1w_f_(ad_handle,x,y,ifail);
y1 = y.value;
inc = 1.0;
nagad_a1w_inc_derivative(&y,inc);
ifail = 0;
nagad_a1w_ir_interpret_adjoint(ifail);
/* Get derivatives */
dydx = nagad_a1w_get_derivative(x);
dydx_exp = 1.0/(1.0+x.value);
cout.setf(ios::scientific,ios::floatfield);
cout.precision(4);
cout << "Input value of x : " << x.value << endl;
cout << "Output value of ln(1+x) : " << y1 << endl;
cout << "AD evaluated derivative : " << dydx << endl;
cout << "Directly computed derivative : " << dydx_exp << endl;
/* Remove computational data object and tape */
END:
ifail = 0;
x10ab_a1w_f_(ad_handle,ifail);
nagad_a1w_ir_remove();
return exit_status;
}