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dc.contributor.authorCrochemore, Maxime
dc.contributor.authorCurrie, James D.
dc.contributor.authorKucherov, Gregory
dc.contributor.authorNowotka, Dirk
dc.date.accessioned2018-01-16T14:53:52Z
dc.date.available2018-01-16T14:53:52Z
dc.date.issued2014-03-09
dc.identifier.citationCrochemore, Maxime, James D. Currie, Gregory Kucherov, and Dirk Nowotka.“Combinatorics and Algorithmics of Strings (Dagstuhl Seminar 14111).” Dagstuhl Reports 4(3) (2014): 28-46. DOI: 10.4230/DagRep.4.3.28.en_US
dc.identifier.issn2192-5283
dc.identifier.urihttp://hdl.handle.net/10680/1350
dc.descriptionEdited in cooperation with Robert Mercaşen_US
dc.description.abstractStrings (aka sequences or words) form the most basic and natural data structure. They occur whenever information is electronically transmitted (as bit streams), when natural language text is spoken or written down (as words over, for example, the Latin alphabet), in the process of heredity transmission in living cells (through DNA sequences) or the protein synthesis (as sequence of amino acids), and in many more different contexts. Given this universal form of representing information, the need to process strings is apparent and is actually a core purpose of computer use. Algorithms to efficiently search through, analyze, (de-)compress, match, encode and decode strings are therefore of chief interest. Combinatorial problems about strings lie at the core of such algorithmic questions. Many such combinatorial problems are common in the string processing efforts in the different fields of application.en_US
dc.description.urihttp://drops.dagstuhl.de/opus/volltexte/2014/4552/
dc.language.isoenen_US
dc.publisherDagstuhl Publishingen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectcombinatorics on wordsen_US
dc.subjectstring algorithms
dc.subjectautomata
dc.titleCombinatorics and Algorithmics of Stringsen_US
dc.typeArticleen_US
dc.identifier.doi10.4230/DagRep.4.3.28


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