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## Sorting utilities

psb_msort -- Sorting by the Merge-sort algorithm

psb_qsort -- Sorting by the Quicksort algorithm

psb_hsort -- Sorting by the Heapsort algorithm

    call psb_msort(x,ix,dir,flag)
    call psb_qsort(x,ix,dir,flag)
    call psb_hsort(x,ix,dir,flag)

These serial routines sort a sequence into ascending or descending order. The argument meaning is identical for the three calls; the only difference is the algorithm used to accomplish the task (see Usage Notes below).

Type:
  Asynchronous.
On Entry
x
  The sequence to be sorted.
  Type:required.
  Specified as: an integer, real or complex array of rank 1.
ix
  A vector of indices.
  Type:optional.
  Specified as: an integer array of (at least) the same size as .
dir
  The desired ordering.
  Type:optional.
  Specified as: an integer value:
  Integer and real data:
    `psb_sort_up_`, `psb_sort_down_`, `psb_asort_up_`, `psb_asort_down_`; default `psb_sort_up_`.
  Complex data:
    `psb_lsort_up_`, `psb_lsort_down_`, `psb_asort_up_`, `psb_asort_down_`; default `psb_lsort_up_`.
flag
  Whether to keep the original values in .
  Type:optional.
  Specified as: an integer value `psb_sort_ovw_idx_` or `psb_sort_keep_idx_`; default `psb_sort_ovw_idx_`.

On Return
x
  The sequence of values, in the chosen ordering.
  Type:required.
  Specified as: an integer, real or complex array of rank 1.
ix
  A vector of indices.
  Type: Optional
  An integer array of rank 1, whose entries are moved to the same position as the corresponding entries in .

Notes

1. For integer or real data the sorting can be performed in the up/down direction, on the natural or absolute values;
2. For complex data the sorting can be done in a lexicographic order (i.e.: sort on the real part with ties broken according to the imaginary part) or on the absolute values;
3. The routines return the items in the chosen ordering; the output difference is the handling of ties (i.e. items with an equal value) in the original input. With the merge-sort algorithm ties are preserved in the same relative order as they had in the original sequence, while this is not guaranteed for quicksort or heapsort;
4. If then the entries in where is the size of are initialized to ; thus, upon return from the subroutine, for each index we have in the position that the item occupied in the original data sequence;
5. If the routine will assume that the entries in have already been initialized by the user;
6. The three sorting algorithms have a similar expected running time; in the average case quicksort will be the fastest and merge-sort the slowest. However note that:
   1. The worst case running time for quicksort is ; the algorithm implemented here follows the well-known median-of-three heuristics, but the worst case may still apply;
   2. The worst case running time for merge-sort and heap-sort is as the average case;
   3. The merge-sort algorithm is implemented to take advantage of subsequences that may be already in the desired ordering prior to the subroutine call; this situation is relatively common when dealing with groups of indices of sparse matrix entries, thus merge-sort is the preferred choice when a sorting is needed by other routines in the library.

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