/* G01HA_T1W_F C++ Header Example Program.
*
* Copyright 2024 Numerical Algorithms Group.
* Mark 30.3, 2024.
*/
#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;
// Input and output variables
nagad_t1w_w_rtype x, y, rho, p;
cout << "G01HA_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 << "Lower tail significance levels and derivatives\n\n";
cout << " x y rho p";
cout << " dp/dx dp/dy dp/drho\n";
cout.setf(ios::scientific, ios::floatfield);
cout.setf(ios::right);
cout.precision(4);
// Loop over x values
for (Integer i = 0; i < n; ++i)
{
// Read next x, y and rho
double xr, yr, rhor;
cin >> xr >> yr >> rhor;
x = xr;
y = yr;
rho = rhor;
double inc = 1.0;
dco::derivative(x) = inc;
// Call NAG AD Routine
ifail = 0;
nag::ad::g01ha(ad_handle, x, y, rho, p, ifail);
double dpdx;
dpdx = dco::derivative(p);
x = xr;
y = yr;
rho = rhor;
dco::derivative(y) = inc;
// Call NAG AD Routine
ifail = 0;
nag::ad::g01ha(ad_handle, x, y, rho, p, ifail);
double dpdy;
dpdy = dco::derivative(p);
x = xr;
y = yr;
rho = rhor;
dco::derivative(rho) = inc;
// Call NAG AD Routine
ifail = 0;
nag::ad::g01ha(ad_handle, x, y, rho, p, ifail);
double dpdr;
dpdr = dco::derivative(p);
cout.width(12);
cout << dco::value(x);
cout.width(12);
cout << dco::value(y);
cout.width(12);
cout << dco::value(rho);
cout.width(12);
cout << dco::value(p);
cout.width(12);
cout << dpdx;
cout.width(12);
cout << dpdy;
cout.width(12);
cout << dpdr << endl;
}
return exit_status;
}