/* G01FE_A1W_F C++ Header Example Program.
*
* Copyright 2019 Numerical Algorithms Group.
* Mark 27, 2019.
*/
#include <dco_light.hpp>
#include <nag.h>
#include <nagad.h>
#include <stdio.h>
#include <string>
#include <iostream>
using namespace std;
int main(void)
{
int exit_status = 0;
cout << "G01FE_A1W_F C++ Header Example Program Results\n\n";
// Skip heading in data file
string mystr;
getline (cin, mystr);
// Read number of x values
Integer n;
cin >> n;
// Create AD tape
nagad_a1w_ir_create();
// Create AD configuration data object
Integer ifail = 0;
void *ad_handle = 0;
x10aa_a1w_f_(ad_handle,ifail);
cout << " Deviates and derivatives\n\n";
cout << " p a b x";
cout << " dx/dp dx/da dx/db\n";
cout.setf(ios::scientific,ios::floatfield);
cout.setf(ios::right);
cout.precision(4);
// Loop over x values
nagad_a1w_w_rtype tol;
tol = 0.0;
for (Integer i = 0; i < n; ++i) {
// Read next p, a and b
double pr, ar, br;
cin >> pr >> ar >> br;
nagad_a1w_w_rtype x, a, b, p;
p = pr;
a = ar;
b = br;
// Register x, i.e. differentiate w.r.t. x
nagad_a1w_ir_register_variable(&p);
nagad_a1w_ir_register_variable(&a);
nagad_a1w_ir_register_variable(&b);
// Call NAG AD Routine
ifail = 0;
g01fe_a1w_f_(ad_handle,p,a,b,tol,x,ifail);
nagad_a1w_ir_zero_adjoints();
double inc = 1.0;
nagad_a1w_inc_derivative(&x,inc);
ifail = 0;
nagad_a1w_ir_interpret_adjoint(ifail);
double dxdp, dxda, dxdb;
dxdp = nagad_a1w_get_derivative(p);
dxda = nagad_a1w_get_derivative(a);
dxdb = nagad_a1w_get_derivative(b);
cout.width(12); cout << nagad_a1w_get_value(p);
cout.width(12); cout << nagad_a1w_get_value(a);
cout.width(12); cout << nagad_a1w_get_value(b);
cout.width(12); cout << nagad_a1w_get_value(x);
cout.width(12); cout << dxdp;
cout.width(12); cout << dxda;
cout.width(12); cout << dxdb << endl;
}
// Remove computational data object and tape
ifail = 0;
x10ab_a1w_f_(ad_handle,ifail);
nagad_a1w_ir_remove();
return exit_status;
}