/* G01EC_A1W_F C++ Header Example Program.
*
* Copyright 2021 Numerical Algorithms Group.
* Mark 27.3, 2021.
*/
#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_a1w_w_rtype x, df, p;
cout << "G01EC_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
dco::ga1s<double>::global_tape = dco::ga1s<double>::tape_t::create();
// 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 df p dp/dx dp/ddf\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 and df
double xr, dfr;
cin >> xr >> dfr;
x = xr;
df = dfr;
// Register x, i.e. differentiate w.r.t. x
dco::ga1s<double>::global_tape->register_variable(x);
dco::ga1s<double>::global_tape->register_variable(df);
// Call NAG AD Routine
ifail = 0;
nag::ad::g01ec(ad_handle, "L", x, df, p, ifail);
// Reset adjoints, increment y, and evaluate adjoint
dco::ga1s<double>::global_tape->zero_adjoints();
double inc = 1.0;
dco::derivative(p) += inc;
ifail = 0;
dco::ga1s<double>::global_tape->sparse_interpret() = true;
dco::ga1s<double>::global_tape->interpret_adjoint();
// Get derivative, dydx and output values
double dpdx, dpdf;
dpdx = dco::derivative(x);
dpdf = dco::derivative(df);
cout.width(12);
cout << dco::value(x);
cout.width(12);
cout << dco::value(df);
cout.width(12);
cout << dco::value(p);
cout.width(12);
cout << dpdx;
cout.width(12);
cout << dpdf << endl;
}
dco::ga1s<double>::tape_t::remove(dco::ga1s<double>::global_tape);
return exit_status;
}