/* F01FC_A1W_F C++ Header Example Program.
 *
 * Copyright 2021 Numerical Algorithms Group.
 * Mark 27.2, 2021.
 */

#include <dco.hpp>
#include <iostream>
#include <nag.h>
#include <nagad.h>
#include <nagx04.h>
#include <stdio.h>
#include <string>
using namespace std;

int main(void)
{
  int     exit_status = 0;
  void *  ad_handle   = 0;
  Integer ifail       = 0;

  cout << "F01FC_A1W_F C++ Header Example Program Results\n\n";
  // Skip heading in data file
  string mystr;
  getline(cin, mystr);

  // Read problem size and number of right-hand-sides
  Integer n;
  cin >> n;

  // Allocate arrays containing A and its factorized form, B
  // and the solution X.
  nagad_a1w_w_ctype *a = 0, *a_in = 0;
  Complex *          ac = 0;
  nagad_a1w_w_rtype *ar = 0, *ai = 0;

  a    = new nagad_a1w_w_ctype[n * n];
  a_in = new nagad_a1w_w_ctype[n * n];
  ar   = new nagad_a1w_w_rtype[n * n];
  ai   = new nagad_a1w_w_rtype[n * n];
  ac   = new Complex[n * n];

  // Create AD tape
  dco::ga1s<double>::global_tape = dco::ga1s<double>::tape_t::create();

  // Read the matrix A, register and copy
  double dr, di;
  for (int i = 0; i < n; ++i)
    {
      for (int j = 0; j < n; ++j)
        {
          cin >> dr >> di;
          Integer k = i + j * n;
          ar[k]     = dr;
          ai[k]     = di;
          if (i == j)
            {
              dco::ga1s<double>::global_tape->register_variable(ai[k]);
            }
          a[k].real(ar[k]);
          a[k].imag(ai[k]);
        }
    }

  // Create AD configuration data object
  ifail = 0;
  nag::ad::x10aa(ad_handle, ifail);

  // Find exp(A)
  ifail = 0;
  nag::ad::f01fc(ad_handle, n, a, n, ifail);

  // Print exp(A)
  for (int i = 0; i < n; i++)
    {
      for (int j = 0; j < n; j++)
        {
          int k = i + j * n;

          ac[k].re = dco::value(real(a[k]));
          ac[k].im = dco::value(imag(a[k]));
        }
    }

  cout << endl;
  NagError fail;
  INIT_FAIL(fail);
  x04dac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, n, n, ac, n,
         "  Exp(A)", 0, &fail);

  cout << "\n\n Derivatives calculated: First order adjoints\n";
  cout << " Computational mode    : algorithmic\n";
  cout << "\n Derivatives of diagional of exp(A) w.r.t diagonal of imag(A):\n";

  // Obtain derivatives
  for (int i = 0; i < n; i++)
    {
      dco::ga1s<double>::global_tape->zero_adjoints();
      double            inc = 1.0;
      Integer           k   = i * n + i;
      nagad_a1w_w_rtype avr;
      avr = real(a[k]);
      dco::derivative(avr) += 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++)
        {
          Integer l = j + j * n, p = i + j * n;
          double  dd = dco::derivative(ai[l]);
          ac[p].re   = dd;
        }

      dco::ga1s<double>::global_tape->zero_adjoints();
      nagad_a1w_w_rtype avi;
      avi = imag(a[k]);
      dco::derivative(avi) += 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++)
        {
          Integer l = j + j * n, p = i + j * n;
          double  dd = dco::derivative(ai[l]);
          ac[p].im   = dd;
        }
    }

  // Print derivatives
  cout << endl;
  INIT_FAIL(fail);
  x04dac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, n, n, ac, n,
         "     d(expA(i,i)/dImag(A(j,j))", 0, &fail);

  // Remove computational data object and tape
  ifail = 0;
  nag::ad::x10ab(ad_handle, ifail);
  dco::ga1s<double>::tape_t::remove(dco::ga1s<double>::global_tape);

  return exit_status;
}