/* nag_sparse_real_symm_matvec (f11xec) Example Program.
 *
 * Copyright 2024 Numerical Algorithms Group.
 *
 * Mark 30.1, 2024.
 */

#include <nag.h>

int main(void) {
  /* Scalars */
  Integer exit_status = 0;
  Integer i, j, n, nnz;
  /* Arrays */
  char nag_enum_arg[40];
  Integer *irow = 0, *icol = 0;
  double *a = 0, *x = 0, *y = 0;
  /* NAG types */
  NagError fail;
  Nag_SparseSym_CheckData check;

  INIT_FAIL(fail);

  printf("nag_sparse_real_symm_matvec (f11xec) Example Program Results\n");

  /* Skip heading in data file */
  scanf("%*[^\n]");

  /* Read order of matrix and number of nonzero entries */
  scanf("%" NAG_IFMT "%*[^\n]", &n);
  scanf("%" NAG_IFMT "%*[^\n]", &nnz);

  /* Allocate memory */
  if (!(a = NAG_ALLOC(nnz, double)) || !(x = NAG_ALLOC(n, double)) ||
      !(y = NAG_ALLOC(n, double)) || !(icol = NAG_ALLOC(nnz, Integer)) ||
      !(irow = NAG_ALLOC(nnz, Integer))) {
    printf("Allocation failure\n");
    exit_status = -1;
    goto END;
  }

  /* Read the matrix A */
  for (i = 0; i < nnz; i++)
    scanf("%lf"
          "%" NAG_IFMT "%" NAG_IFMT "%*[^\n]",
          &a[i], &irow[i], &icol[i]);

  /* Read the vector x */
  for (j = 0; j < n; j++)
    scanf("%lf", &x[j]);
  scanf("%*[^\n]");

  /* Set matrix to be checked */
  /* Nag_SparseSym_Check */
  scanf("%39s%*[^\n]", nag_enum_arg);
  check = (Nag_SparseSym_CheckData)nag_enum_name_to_value(nag_enum_arg);

  /* nag_sparse_real_symm_matvec (f11xec)
   * Real sparse symmetric matrix vector multiply.
   */
  nag_sparse_real_symm_matvec(n, nnz, a, irow, icol, check, x, y, &fail);

  if (fail.code != NE_NOERROR) {
    printf("Error from nag_sparse_real_symm_matvec (f11xec)\n%s\n",
           fail.message);
    exit_status = 1;
    goto END;
  }
  /* Output results */
  printf(" Matrix-vector product\n");
  for (j = 0; j < n; j++)
    printf("%16.4e\n", y[j]);

END:
  NAG_FREE(a);
  NAG_FREE(x);
  NAG_FREE(y);
  NAG_FREE(icol);
  NAG_FREE(irow);

  return exit_status;
}