Sony STR-ZA3100ES Guia De Ayuda página 323

3.
All advertising materials mentioning features or use of this software must display the following acknowledgement:
This product includes software developed by the University of California, Berkeley and its contributors.
4.
Neither the name of the University nor the names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT
OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
trvsprnf.c
Copyright (c) 1992, 1993
The Regents of the University of California.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following
conditions are met:
1.
Redistributions of source code must retain the above copyright notice, this list of conditions and the following
disclaimer.
2.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided with the distribution.
3.
All advertising materials mentioning features or use of this software must display the following acknowledgement:
This product includes software developed by the University of California, Berkeley and its contributors.
4.
Neither the name of the University nor the names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT
OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
trdeflate.c
Copyright (C) 1995-2010 Jean-loup Gailly and Mark Adler
For conditions of distribution and use, see copyright notice in zlib.h
ALGORITHM
The "deflation" process depends on being able to identify portions of the input text which are identical to earlier input
(within a sliding window trailing behind the input currently being processed).
The most straightforward technique turns out to be the fastest for most input files: try all possible matches and select the
longest.
The key feature of this algorithm is that insertions into the string dictionary are very simple and thus fast, and deletions
are avoided completely. Insertions are performed at each input character, whereas string matches are performed only
when the previous match ends. So it is preferable to spend more time in matches to allow very fast string insertions and
avoid deletions. The matching algorithm for small strings is inspired from that of Rabin & Karp. A brute force approach is
used to find longer strings when a small match has been found.
A similar algorithm is used in comic (by Jan-Mark Wams) and freeze (by Leonid Broukhis).
A previous version of this file used a more sophisticated algorithm (by Fiala and Greene) which is guaranteed to run in
linear amortized time, but has a larger average cost, uses more memory and is patented.
However the F&G algorithm may be faster for some highly redundant files if the parameter maxChainLength (described
below) is too large.
ACKNOWLEDGEMENTS
The idea of lazy evaluation of matches is due to Jan-Mark Wams, and I found it in 'freeze' written by Leonid Broukhis.
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