/* X10AA_A1W_F C Header Example Program.
*
* Copyright 2017 Numerical Algorithms Group.
* Mark 26.2, 2017.
*/
#include <nag.h>
#include <nagad.h>
#include <stdio.h>
#include <nag_stdlib.h>
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;
printf("X10AA_A1W_F C Header Example Program Results\n\n");
x.value = 0.1;
x.id = 0;
printf("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) {
printf("Symbolic computational mode is being used\n\n");
} else if (mode==nagad_algorithmic) {
printf("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==-199) {
printf("%s %4"NAG_IFMT" \n\n",
"AD computation failed as expected with ifail = ", ifail);
} else {
printf(" Unexpected IFAIL returned in AD computation\n");
printf("%s %4"NAG_IFMT" \n"," ifail expected: ", ierr_not_implemented);
printf("%s %4"NAG_IFMT" \n\n"," ifail returned: ", ifail);
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) {
printf("Symbolic computational mode is being used\n\n");
} else if (mode==nagad_algorithmic) {
printf("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);
printf("%28s : %11.3e\n", "Input value of x", x.value);
printf("%28s : %11.3e\n", "Output value of ln(1+x)", y1);
printf("%28s : %11.3e\n", "AD evaluated derivative", dydx);
printf("%28s : %11.3e\n", "Directly computed derivative", dydx_exp);
/* Remove computational data object and tape */
END:
ifail = 0;
x10ab_a1w_f_(&ad_handle,&ifail);
nagad_a1w_ir_remove();
return exit_status;
}