Update. 2006-11-12 Andreas Jaeger <aj@suse.de> [BZ #2510] * manual/search.texi (Hash Search Function): Clarify. (Array Search Function): Clarify. 2006-11-12 Joseph Myers <joseph@codesourcery.com> [BZ #2830] * math/atest-exp.c (main): Cast hex value to mp_limb_t before shifting. * math/atest-exp2.c (read_mpn_hex): Likewise. * math/atest-sincos.c (main): Likewise. Ulrich Drepper <drepper@redhat.com>
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ChangeLog
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ChangeLog
@ -1,3 +1,17 @@
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2006-11-12 Andreas Jaeger <aj@suse.de>
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[BZ #2510]
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* manual/search.texi (Hash Search Function): Clarify.
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(Array Search Function): Clarify.
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2006-11-12 Joseph Myers <joseph@codesourcery.com>
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[BZ #2830]
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* math/atest-exp.c (main): Cast hex value to mp_limb_t before
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shifting.
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* math/atest-exp2.c (read_mpn_hex): Likewise.
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* math/atest-sincos.c (main): Likewise.
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2006-10-11 Ulrich Drepper <drepper@redhat.com>
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* sysdeps/unix/sysv/linux/syscalls.list: Add epoll_pwait.
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@ -82,7 +82,7 @@ starting at @var{base} if it is found. If no matching element is
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available @code{NULL} is returned.
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The mean runtime of this function is @code{*@var{nmemb}}/2. This
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function should only be used elements often get added to or deleted from
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function should only be used if elements often get added to or deleted from
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the array in which case it might not be useful to sort the array before
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searching.
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@end deftypefun
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@ -247,21 +247,21 @@ Couldn't find Janice.
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@node Hash Search Function
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@section The @code{hsearch} function.
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The functions mentioned so far in this chapter are searching in a sorted
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The functions mentioned so far in this chapter are for searching in a sorted
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or unsorted array. There are other methods to organize information
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which later should be searched. The costs of insert, delete and search
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differ. One possible implementation is using hashing tables.
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The following functions are declared in the the header file @file{search.h}.
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The following functions are declared in the header file @file{search.h}.
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@comment search.h
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@comment SVID
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@deftypefun int hcreate (size_t @var{nel})
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The @code{hcreate} function creates a hashing table which can contain at
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least @var{nel} elements. There is no possibility to grow this table so
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it is necessary to choose the value for @var{nel} wisely. The used
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methods to implement this function might make it necessary to make the
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it is necessary to choose the value for @var{nel} wisely. The method
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used to implement this function might make it necessary to make the
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number of elements in the hashing table larger than the expected maximal
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number of elements. Hashing tables usually work inefficient if they are
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number of elements. Hashing tables usually work inefficiently if they are
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filled 80% or more. The constant access time guaranteed by hashing can
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only be achieved if few collisions exist. See Knuth's ``The Art of
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Computer Programming, Part 3: Searching and Sorting'' for more
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