/* G01GC_T1W_F C++ Header Example Program.
*
* Copyright 2023 Numerical Algorithms Group.
* Mark 29.0, 2023.
*/
#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 << "G01GC_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;
cout << " x df rlamda p";
cout << " p' df' rlamda'\n";
cout.setf(ios::scientific, ios::floatfield);
cout.setf(ios::right);
cout.precision(2);
Integer maxit = 100;
nagad_t1w_w_rtype p, x, df, rlamda, tol;
tol = 0.0;
// Create AD configuration data object
Integer ifail = 0;
nag::ad::handle_t ad_handle;
// Loop over x values
for (Integer i = 0; i < n; ++i)
{
// Read next x, df, rlamda
double xr, dfr, rr;
cin >> xr >> dfr >> rr;
x = xr;
df = dfr;
rlamda = rr;
double inc = 1.0;
dco::derivative(x) = inc;
// Call NAG AD Routine
p = 0.0;
ifail = 0;
nag::ad::g01gc(ad_handle, x, df, rlamda, tol, maxit, p, ifail);
// Get derivatives
double dpdx;
dpdx = dco::derivative(p);
x = xr;
df = dfr;
rlamda = rr;
dco::derivative(df) = inc;
// Call NAG AD Routine
p = 0.0;
ifail = 0;
nag::ad::g01gc(ad_handle, x, df, rlamda, tol, maxit, p, ifail);
double dpdd;
dpdd = dco::derivative(p);
x = xr;
df = dfr;
rlamda = rr;
dco::derivative(rlamda) = inc;
// Call NAG AD Routine
p = 0.0;
ifail = 0;
nag::ad::g01gc(ad_handle, x, df, rlamda, tol, maxit, p, ifail);
double dpdr;
dpdr = dco::derivative(p);
// Output results
cout.width(9);
cout << dco::value(x);
cout.width(9);
cout << dco::value(df);
cout.width(9);
cout << dco::value(rlamda);
cout.width(9);
cout << dco::value(p);
cout.width(11);
cout << dpdx;
cout.width(11);
cout << dpdd;
cout.width(11);
cout << dpdr << endl;
}
return exit_status;
}