/* E01AA_A1W_F C++ Header Example Program.
*
* Copyright 2019 Numerical Algorithms Group.
* Mark 27, 2019.
*/
// #define USE_DCO
#ifdef USE_DCO
#include "dco_light.hpp"
#endif
#include <nag.h>
#include <nagad.h>
#include <stdio.h>
#include <math.h>
#include <nag_stdlib.h>
#include <string>
#include <iostream>
using namespace std;
int main(void)
{
// Scalars
int exit_status = 0;
cout << "E01AA_A1W_F C++ Header Example Program Results\n\n";
// Skip first line of data file
string mystr;
getline (cin, mystr);
// Read number of data points
Integer n;
cin >> n;
// Allocate arrays for data and interpolant
nagad_a1w_w_rtype x, *a = 0, *b = 0, *c = 0;
double xr, ar;
Integer n1, n2;
n1 = n + 1;
n2 = n*(n+1)/2;
if (!(a = NAG_ALLOC(n1, nagad_a1w_w_rtype)) ||
!(b = NAG_ALLOC(n1, nagad_a1w_w_rtype)) ||
!(c = NAG_ALLOC(n2, nagad_a1w_w_rtype)))
{
printf("Allocation failure\n");
exit_status = -1;
}
if (exit_status==0) {
// Create AD tape
nagad_a1w_ir_create();
cin >> xr;
#ifdef USE_DCO
x = xr;
#else
x.value = xr;
x.id = 0;
# endif
for (int i= 0; i < n1; i++) {
cin >> ar;
#ifdef USE_DCO
a[i] = ar;
#else
a[i].value = ar;
a[i].id = 0;
#endif
}
for (int i= 0; i < n1; i++) {
cin >> ar;
#ifdef USE_DCO
b[i] = ar;
#else
b[i].value = ar;
b[i].id = 0;
#endif
}
// 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);
// Register variables to differentiate w.r.t.
for (int i=0; i<n1; i++) {
nagad_a1w_ir_register_variable(&a[i]);
}
// Call the AD routine
ifail = 0;
e01aa_a1w_f_(ad_handle,a,b,c,n1,n2,n,x,ifail);
cout.setf(ios::scientific,ios::floatfield);
cout.precision(5);
cout << "\n Interpolation point = ";
cout.width(12);cout << xr << endl;
cout << "\n Function value at interpolation point = ";
cout.width(12);cout << nagad_a1w_get_value(c[n2-1]) << endl;
// Setup evaluation of derivatives via adjoints.
double inc = 1.0;
nagad_a1w_inc_derivative(&c[n2-1],inc);
ifail = 0;
nagad_a1w_ir_interpret_adjoint_sparse(ifail);
cout << "\n Derivatives calculated: First order adjoints\n";
cout << " Computational mode : algorithmic\n";
// Get derivatives
cout << "\n Derivatives of fitted value w.r.t. x values:\n";
cout << " j d/da(j)\n";
for (int j=0; j < n1; j++) {
double dx = nagad_a1w_get_derivative(a[j]);
cout.width(3); cout << j+1 << " ";
cout.width(12); cout << dx << endl;
}
// Remove computational data object and tape
x10ab_a1w_f_(ad_handle,ifail);
nagad_a1w_ir_remove();
}
return exit_status;
}