/* nag_dtpqrt (f08bbc) Example Program.
 *
 * NAGPRODCODE Version.
 *
 * Copyright 2016 Numerical Algorithms Group.
 *
 * Mark 26, 2016.
 */

#include <nag.h>
#include <nag_stdlib.h>
#include <nagf07.h>
#include <nagf08.h>
#include <nagf16.h>
#include <nagx04.h>

int main(void)
{
  /* Scalars */
  double rnorm;
  Integer exit_status = 0;
  Integer pda, pdb, pdt;
  Integer i, j, m, n, nb, nrhs;
  /* Arrays */
  double *a = 0, *b = 0, *c = 0, *t = 0;
  /* Nag Types */
  Nag_OrderType order;
  NagError fail;

#ifdef NAG_COLUMN_MAJOR
#define A(I,J) a[(J-1)*pda + I-1]
#define B(I,J) b[(J-1)*pdb + I-1]
#define C(I,J) c[(J-1)*pdb + I-1]
  order = Nag_ColMajor;
#else
#define A(I,J) a[(I-1)*pda + J-1]
#define B(I,J) b[(I-1)*pdb + J-1]
#define C(I,J) c[(I-1)*pdb + J-1]
  order = Nag_RowMajor;
#endif

  INIT_FAIL(fail);

  printf("nag_dtpqrt (f08bbc) Example Program Results\n\n");
  fflush(stdout);

  /* Skip heading in data file */
  scanf("%*[^\n]");
  scanf("%" NAG_IFMT "%" NAG_IFMT "%" NAG_IFMT "%*[^\n]", &m, &n, &nrhs);
  nb = MIN(m, n);
  if (!(a = NAG_ALLOC(m * n, double)) ||
      !(b = NAG_ALLOC(m * nrhs, double)) ||
      !(c = NAG_ALLOC(m * nrhs, double)) ||
      !(t = NAG_ALLOC(nb * MIN(m, n), double)))
  {
    printf("Allocation failure\n");
    exit_status = -1;
    goto END;
  }
#ifdef NAG_COLUMN_MAJOR
  pda = m;
  pdb = m;
  pdt = nb;
#else
  pda = n;
  pdb = nrhs;
  pdt = MIN(m, n);
#endif

  /* Read A and B from data file */
  for (i = 1; i <= m; ++i)
    for (j = 1; j <= n; ++j)
      scanf("%lf", &A(i, j));
  scanf("%*[^\n]");

  for (i = 1; i <= m; ++i)
    for (j = 1; j <= nrhs; ++j)
      scanf("%lf", &B(i, j));
  scanf("%*[^\n]");

  for (i = 1; i <= m; ++i)
    for (j = 1; j <= nrhs; ++j)
      C(i, j) = B(i, j);

  /* nag_dgeqrt (f08abc).
   * Compute the QR factorization of first n rows of A by recursive algorithm.
   */
  nag_dgeqrt(order, n, n, nb, a, pda, t, pdt, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_dgeqrt (f08abc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* nag_dgemqrt (f08acc).
   * Compute C = (C1) = (Q^T)*B, storing the result in C
   *             (C2)
   * by applying Q^T from left.
   */
  nag_dgemqrt(order, Nag_LeftSide, Nag_Trans, n, nrhs, n, nb, a, pda, t, pdt,
              c, pdb, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_dgemqrt (f08acc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  for (i = 1; i <= n; ++i)
    for (j = 1; j <= nrhs; ++j)
      B(i, j) = C(i, j);

  /* nag_dtrtrs (f07tec).
   * Compute least squares solutions for first n rows
   * by back-substitution in R*X = C1.
   */
  nag_dtrtrs(order, Nag_Upper, Nag_NoTrans, Nag_NonUnitDiag, n, nrhs, a, pda,
             c, pdb, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_dtrtrs (f07tec).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* nag_gen_real_mat_print (x04cac).
   * Print least squares solutions using first n rows.
   */
  nag_gen_real_mat_print(order, Nag_GeneralMatrix, Nag_NonUnitDiag, n, nrhs,
                         c, pdb, "Solution(s) for n rows", 0, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_gen_real_mat_print (x04cac).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* nag_dtpqrt (f08bbc).
   * Now add the remaining rows and perform QR update.
   */
  nag_dtpqrt(order, m - n, n, 0, nb, a, pda, &A(n + 1, 1), pda, t, pdt,
             &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_dtpqrt (f08bbc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* nag_dtpmqrt (f08bcc).
   * Apply orthogonal transformations to C.
   */
  nag_dtpmqrt(order, Nag_LeftSide, Nag_Trans, m - n, nrhs, n, 0, nb,
              &A(n + 1, 1), pda, t, pdt, b, pdb, &B(5, 1), pdb, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_dtpmqrt (f08bcc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* nag_dtrtrs (f07tec).
   * Compute least squares solutions for first n rows
   * by back-substitution in R*X = C1.
   */
  nag_dtrtrs(order, Nag_Upper, Nag_NoTrans, Nag_NonUnitDiag, n, nrhs, a, pda,
             b, pdb, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_dtrtrs (f07tec).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* nag_gen_real_mat_print (x04cac).
   * Print least squares solutions.
   */
  printf("\n");
  fflush(stdout);
  nag_gen_real_mat_print(order, Nag_GeneralMatrix, Nag_NonUnitDiag, n, nrhs,
                         b, pdb, "Least squares solution(s) for all rows", 0,
                         &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_gen_real_mat_print (x04cac).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  printf("\n Square root(s) of the residual sum(s) of squares\n");
  for (j = 1; j <= nrhs; j++) {
    /* nag_dge_norm (f16rac).
     * Compute and print estimate of the square root of the residual
     * sum of squares. 
     */
    nag_dge_norm(order, Nag_FrobeniusNorm, m - n, 1, &B(n + 1, j), pdb,
                 &rnorm, &fail);
    if (fail.code != NE_NOERROR) {
      printf("\nError from nag_dge_norm (f16rac).\n%s\n", fail.message);
      exit_status = 1;
      goto END;
    }
    printf("  %11.2e ", rnorm);
  }
  printf("\n");

END:
  NAG_FREE(a);
  NAG_FREE(b);
  NAG_FREE(c);
  NAG_FREE(t);

  return exit_status;
}