To install click the Add extension button. That's it.

The source code for the WIKI 2 extension is being checked by specialists of the Mozilla Foundation, Google, and Apple. You could also do it yourself at any point in time.

4,5
Kelly Slayton
Congratulations on this excellent venture… what a great idea!
Alexander Grigorievskiy
I use WIKI 2 every day and almost forgot how the original Wikipedia looks like.
Live Statistics
English Articles
Improved in 24 Hours
Added in 24 Hours
Languages
Recent
Show all languages
What we do. Every page goes through several hundred of perfecting techniques; in live mode. Quite the same Wikipedia. Just better.
.
Leo
Newton
Brights
Milds

Apostolico–Giancarlo algorithm

From Wikipedia, the free encyclopedia

In computer science, the Apostolico–Giancarlo algorithm is a variant of the Boyer–Moore string-search algorithm, the basic application of which is searching for occurrences of a pattern in a text . As with other comparison-based string searches, this is done by aligning to a certain index of and checking whether a match occurs at that index. is then shifted relative to according to the rules of the Boyer–Moore algorithm, and the process repeats until the end of has been reached. Application of the Boyer–Moore shift rules often results in large chunks of the text being skipped entirely.

With regard to the shift operation, Apostolico–Giancarlo is exactly equivalent in functionality to Boyer–Moore. The utility of Apostolico–Giancarlo is to speed up the match-checking operation at any index. With Boyer–Moore, finding an occurrence of in requires that all characters of be explicitly matched. For certain patterns and texts, this is very inefficient – a simple example is when both pattern and text consist of the same repeated character, in which case Boyer–Moore runs in , where is the length in characters of . Apostolico–Giancarlo speeds this up by recording the number of characters matched at the alignments of in a table, which is combined with data gathered during the pre-processing of to avoid redundant equality checking for sequences of characters that are known to match. It can be seen as a generalization of the Galil rule.

YouTube Encyclopedic

  • 1/1
    Views:
    450
  • 38. KMP Algorithm Detailed Explanation | Best and Worst case Time Complexity & Space Complexity

Transcription

References

  • Apostolico, Alberto; Giancarlo, Raffaele (1986). "The Boyer–Moore–Galil String Searching Strategies Revisited". SIAM Journal on Computing. 15: 98–105. doi:10.1137/0215007.
  • Crochemore, Maxime; Lecroq, Thierry (1997). "Tight bounds on the complexity of the Apostolico-Giancarlo algorithm" (PDF). Information Processing Letters. 63 (4): 195–203. doi:10.1016/S0020-0190(97)00107-5.
  • Crochemore, M.; Rytter, W. (1994). Text Algorithms. Oxford University Press.
  • Gusfield, D. (1997). Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology. Cambridge University Press. ISBN 0-521-58519-8.
  • Lecroq, T. (1992). Recherches de Mots (Ph. D. Thesis). University of Orléans.
  • Lecroq, Thierry (1995). "Experimental results on string matching algorithms". Software: Practice and Experience. 25 (7): 727–765. doi:10.1002/spe.4380250703. S2CID 15253073.
This page was last edited on 20 October 2023, at 17:10
Basis of this page is in Wikipedia. Text is available under the CC BY-SA 3.0 Unported License. Non-text media are available under their specified licenses. Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc. WIKI 2 is an independent company and has no affiliation with Wikimedia Foundation.