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Diffstat (limited to 'manual')
| -rw-r--r-- | manual/search.texi | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/manual/search.texi b/manual/search.texi index 1ac2653f16..b98fca9b35 100644 --- a/manual/search.texi +++ b/manual/search.texi @@ -82,7 +82,7 @@ starting at @var{base} if it is found. If no matching element is available @code{NULL} is returned. The mean runtime of this function is @code{*@var{nmemb}}/2. This -function should only be used elements often get added to or deleted from +function should only be used if elements often get added to or deleted from the array in which case it might not be useful to sort the array before searching. @end deftypefun @@ -247,21 +247,21 @@ Couldn't find Janice. @node Hash Search Function @section The @code{hsearch} function. -The functions mentioned so far in this chapter are searching in a sorted +The functions mentioned so far in this chapter are for searching in a sorted or unsorted array. There are other methods to organize information which later should be searched. The costs of insert, delete and search differ. One possible implementation is using hashing tables. -The following functions are declared in the the header file @file{search.h}. +The following functions are declared in the header file @file{search.h}. @comment search.h @comment SVID @deftypefun int hcreate (size_t @var{nel}) The @code{hcreate} function creates a hashing table which can contain at least @var{nel} elements. There is no possibility to grow this table so -it is necessary to choose the value for @var{nel} wisely. The used -methods to implement this function might make it necessary to make the +it is necessary to choose the value for @var{nel} wisely. The method +used to implement this function might make it necessary to make the number of elements in the hashing table larger than the expected maximal -number of elements. Hashing tables usually work inefficient if they are +number of elements. Hashing tables usually work inefficiently if they are filled 80% or more. The constant access time guaranteed by hashing can only be achieved if few collisions exist. See Knuth's ``The Art of Computer Programming, Part 3: Searching and Sorting'' for more |