/* G01FE_T1W_F C++ Header Example Program.
*
* Copyright 2022 Numerical Algorithms Group.
* Mark 28.4, 2022.
*/
#include <dco.hpp>
#include <iostream>
#include <nag.h>
#include <nagad.h>
#include <stdio.h>
#include <string>
using namespace std;
int main()
{
int exit_status = 0;
cout << "G01FE_T1W_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 configuration data object
Integer ifail = 0;
nag::ad::handle_t ad_handle;
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_t1w_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_t1w_w_rtype x, a, b, p;
p = pr;
a = ar;
b = br;
double inc = 1.0;
dco::derivative(p) = inc;
// Call NAG AD Routine
ifail = 0;
nag::ad::g01fe(ad_handle, p, a, b, tol, x, ifail);
double dxdp;
dxdp = dco::derivative(x);
p = pr;
a = ar;
b = br;
dco::derivative(a) = inc;
// Call NAG AD Routine
ifail = 0;
nag::ad::g01fe(ad_handle, p, a, b, tol, x, ifail);
double dxda;
dxda = dco::derivative(x);
p = pr;
a = ar;
b = br;
dco::derivative(b) = inc;
// Call NAG AD Routine
ifail = 0;
nag::ad::g01fe(ad_handle, p, a, b, tol, x, ifail);
double dxdb;
dxdb = dco::derivative(x);
cout.width(12);
cout << dco::value(p);
cout.width(12);
cout << dco::value(a);
cout.width(12);
cout << dco::value(b);
cout.width(12);
cout << dco::value(x);
cout.width(12);
cout << dxdp;
cout.width(12);
cout << dxda;
cout.width(12);
cout << dxdb << endl;
}
ifail = 0;
return exit_status;
}