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On the connection between interval size functions and path counting

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dc.contributor.author Bampas, E en
dc.contributor.author Gobel, AN en
dc.contributor.author Pagourtzis, A en
dc.contributor.author Tentes, A en
dc.date.accessioned 2014-03-01T02:46:16Z
dc.date.available 2014-03-01T02:46:16Z
dc.date.issued 2009 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32630
dc.subject Perfect Match en
dc.subject.other Counting class en
dc.subject.other Counting problems en
dc.subject.other Decision version en
dc.subject.other Interval size en
dc.subject.other New class en
dc.subject.other P-complete problem en
dc.subject.other Perfect matchings en
dc.subject.other Size separation en
dc.title On the connection between interval size functions and path counting en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-02017-9_14 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-02017-9_14 en
heal.publicationDate 2009 en
heal.abstract We investigate the complexity of hard counting problems that belong to the class #P but have easy decision version; several wellknown problems such as #Perfect Matchings, #DNFSat share this property. We focus on classes of such problems which emerged through two disparate approaches: one taken by Hemaspaandra et al. [1] who defined classes of functions that count the size of intervals of ordered strings, and one followed by Kiayias et al. [2] who defined the class TotP, consisting of functions that count the total number of paths of NP computations. We provide inclusion and separation relations between TotP and interval size counting classes, by means of new classes that we define in this work. Our results imply that many known #P-complete problems with easy decision are contained in the classes defined in [1]-but are unlikely to be complete for these classes under certain types of reductions. We also define a new class of interval size functions which strictly contains FP and is strictly contained in TotP under reasonable complexity-theoretic assumptions. We show that this new class contains some hard counting problems. © Springer-Verlag Berlin Heidelberg 2009. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-642-02017-9_14 en
dc.identifier.volume 5532 LNCS en
dc.identifier.spage 108 en
dc.identifier.epage 117 en


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