123456789101112131415161718192021222324252627282930313233343536373839 |
- #ifndef _melder_sort_h_
- #define _melder_sort_h_
- /* melder_sort.h
- *
- * Copyright (C) 1992-2018 Paul Boersma
- *
- * This code is free software; you can redistribute it and/or modify
- * it under the terms of the GNU General Public License as published by
- * the Free Software Foundation; either version 2 of the License, or (at
- * your option) any later version.
- *
- * This code is distributed in the hope that it will be useful, but
- * WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
- * See the GNU General Public License for more details.
- *
- * You should have received a copy of the GNU General Public License
- * along with this work. If not, see <http://www.gnu.org/licenses/>.
- */
- /********** Sorting **********/
- void NUMsort_integer (integer n, integer ra []);
- void NUMsort_str (string32vector a);
- void NUMsort_p (integer n, void *a [], int (*compare) (const void *, const void *));
- double NUMquantile (integer n, double a [], double factor);
- double NUMquantile (const constVEC& a, double factor) noexcept;
- /*
- An estimate of the quantile 'factor' (between 0 and 1) of the distribution
- from which the set 'a [1..n]' is a sorted array of random samples.
- For instance, if 'factor' is 0.5, this function returns an estimate of
- the median of the distribution underlying the sorted set a [].
- If your array has not been sorted, first sort it with NUMsort (n, a).
- */
- /* End of file melder_sort.h */
- #endif
|