#include "dco.hpp"
/* G02DA_A1W_F C++ Header Example Program.
*
* Copyright 2024 Numerical Algorithms Group.
* Mark 30.0, 2024.
*/
#include <iostream>
#include <nag.h>
#include <nagad.h>
#include <stdio.h>
#include <string>
using namespace std;
int main()
{
int exit_status = 0;
nag::ad::handle_t ad_handle;
nagad_a1w_w_rtype tol;
Integer ifail = 0;
cout << "G02DA_A1W_F C++ Header Example Program Results\n\n";
tol = 0.000001;
// Skip heading in data file
string mystr;
getline(cin, mystr);
// Read problem sizes
Integer n, m;
cin >> n;
cin >> m;
// Allocate arrays depending on m and n.
nagad_a1w_w_rtype *x = 0, *y = 0;
Integer * isx = 0;
double * dy = 0;
if (!(x = NAG_ALLOC(m * n, nagad_a1w_w_rtype)) ||
!(y = NAG_ALLOC(n, nagad_a1w_w_rtype)) || !(dy = NAG_ALLOC(n, double)) ||
!(isx = NAG_ALLOC(m, Integer)))
{
cout << "Allocation failure\n";
exit_status = -1;
exit(exit_status);
}
// Create AD tape
dco::ga1s<double>::global_tape = dco::ga1s<double>::tape_t::create();
// Create AD configuration data object
ifail = 0;
// Read model data
double dd;
for (int i = 0; i < n; ++i)
{
for (int j = 0; j < m; ++j)
{
cin >> dd;
int k = i + j * n;
x[k] = dd;
}
cin >> dd;
y[i] = dd;
dco::ga1s<double>::global_tape->register_variable(y[i]);
}
// Calculate ip
Integer ip = 0;
for (int j = 0; j < m; ++j)
{
cin >> isx[j];
if (isx[j] > 0)
{
ip++;
}
}
// Mean = 'M'
ip++;
// Allocate arrays depending on ip
nagad_a1w_w_rtype *b = 0, *cov = 0, *h = 0, *p = 0, *q = 0, *res = 0, *se = 0,
*wk = 0;
double *dbdy;
Integer lcov = (ip * ip + ip) / 2, lp = ip * (ip + 2), lq = n * (ip + 1);
Integer lwk = ip * ip + 5 * (ip - 1);
if (!(b = NAG_ALLOC(ip, nagad_a1w_w_rtype)) ||
!(cov = NAG_ALLOC(lcov, nagad_a1w_w_rtype)) ||
!(h = NAG_ALLOC(n, nagad_a1w_w_rtype)) ||
!(p = NAG_ALLOC(lp, nagad_a1w_w_rtype)) ||
!(q = NAG_ALLOC(lq, nagad_a1w_w_rtype)) ||
!(res = NAG_ALLOC(n, nagad_a1w_w_rtype)) ||
!(se = NAG_ALLOC(ip, nagad_a1w_w_rtype)) ||
!(wk = NAG_ALLOC(lwk, nagad_a1w_w_rtype)) ||
!(dbdy = NAG_ALLOC(n * ip, double)))
{
cout << "Allocation failure\n";
exit_status = -2;
exit(exit_status);
}
// Perform Regression
Integer idf, irank;
nagad_a1w_w_rtype rss, wt[1];
logical svd;
ifail = 0;
nag::ad::g02da(ad_handle, "M", "U", n, x, n, m, isx, ip, y, wt, rss, idf, b,
se, cov, res, h, q, n, svd, irank, p, tol, wk, ifail);
// Display results
if (svd)
{
cout << "Model is not of full rank, rank = " << irank << endl;
}
cout << "Residual sum of squares = " << dco::value(rss);
cout << "\nDegrees of freedom = " << idf << endl;
cout << "\nVariable Parameter estimate Standard error\n\n";
cout.setf(ios::scientific, ios::floatfield);
cout.precision(2);
for (int i = 0; i < ip; ++i)
{
cout.width(5);
cout << i << " ";
cout.width(12);
cout << dco::value(b[i]) << " ";
cout.width(12);
cout << dco::value(se[i]) << endl;
}
cout << "\n\n Derivatives calculated: First order adjoints\n";
cout << " Computational mode : algorithmic\n";
cout << "\n Derivatives:\n\n";
// Obtain derivatives
double inc = 1.0;
dco::derivative(rss) += inc;
ifail = 0;
dco::ga1s<double>::global_tape->sparse_interpret() = true;
dco::ga1s<double>::global_tape->interpret_adjoint();
for (int j = 0; j < n; j++)
{
dy[j] = dco::derivative(y[j]);
}
cout << " i d(rss)/dy(i)\n";
cout.precision(4);
for (int i = 0; i < n; ++i)
{
cout.width(5);
cout << i << " ";
cout.width(12);
cout << dy[i] << endl;
}
for (int i = 0; i < ip; i++)
{
// Reset adjoints, initialize derivative, and evaluate adjoint
dco::ga1s<double>::global_tape->zero_adjoints();
dco::derivative(b[i]) += inc;
ifail = 0;
dco::ga1s<double>::global_tape->sparse_interpret() = true;
dco::ga1s<double>::global_tape->interpret_adjoint();
for (int j = 0; j < n; j++)
{
int k = j + i * n;
double dd = dco::derivative(y[j]);
dbdy[k] = dd;
}
}
// Print matrix routine
cout << endl;
NagError fail;
INIT_FAIL(fail);
x04cac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, n, ip, dbdy, n,
" Derivatives db/dy", 0, &fail);
ifail = 0;
dco::ga1s<double>::tape_t::remove(dco::ga1s<double>::global_tape);
return exit_status;
}