/* G01EC_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;
// 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
nagad_a1w_ir_create();
// Create AD configuration data object
Integer ifail = 0;
void *ad_handle = 0;
x10aa_a1w_f_(ad_handle,ifail);
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
nagad_a1w_ir_register_variable(&x);
nagad_a1w_ir_register_variable(&df);
// Call NAG AD Routine
ifail = 0;
g01ec_a1w_f_(ad_handle,"L",x,df,p,ifail,1);
// Reset adjoints, increment y, and evaluate adjoint
nagad_a1w_ir_zero_adjoints();
double inc = 1.0;
nagad_a1w_inc_derivative(&p,inc);
ifail = 0;
nagad_a1w_ir_interpret_adjoint(ifail);
// Get derivative, dydx and output values
double dpdx, dpdf;
dpdx = nagad_a1w_get_derivative(x);
dpdf = nagad_a1w_get_derivative(df);
cout.width(12); cout << nagad_a1w_get_value(x);
cout.width(12); cout << nagad_a1w_get_value(df);
cout.width(12); cout << nagad_a1w_get_value(p);
cout.width(12); cout << dpdx;
cout.width(12); cout << dpdf << endl;
}
// Remove computational data object and tape
x10ab_a1w_f_(ad_handle,ifail);
nagad_a1w_ir_remove();
return exit_status;
}