On the computational complexity of positive linear functionals on C[0;1]

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dc.contributor.authorZiegler, Martin Ako
dc.contributor.authorFérée, Hugoko
dc.date.accessioned2019-06-10T00:10:04Z-
dc.date.available2019-06-10T00:10:04Z-
dc.date.created2019-06-10-
dc.date.created2019-06-10-
dc.date.created2019-06-10-
dc.date.issued2015-11-12-
dc.identifier.citation6th International Conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2015, pp.489 - 504-
dc.identifier.urihttp://hdl.handle.net/10203/262481-
dc.description.abstractThe Lebesgue integration has been related to polynomial counting complexity in several ways, even when restricted to smooth functions. We prove analogue results for the integration operator associated with the Cantor measure as well as a more general second-order #P#P-hardness criterion for such operators. We also give a simple criterion for relative polynomial time complexity and obtain a better understanding of the complexity of integration operators using the Lebesgue decomposition theorem.-
dc.languageEnglish-
dc.publisherSpringer International Publishing-
dc.titleOn the computational complexity of positive linear functionals on C[0;1]-
dc.typeConference-
dc.identifier.scopusid2-s2.0-84964070564-
dc.type.rimsCONF-
dc.citation.beginningpage489-
dc.citation.endingpage504-
dc.citation.publicationname6th International Conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2015-
dc.identifier.conferencecountryGE-
dc.identifier.conferencelocationBerlin-
dc.identifier.doi10.1007/978-3-319-32859-1_42-
dc.contributor.localauthorZiegler, Martin A-
dc.contributor.nonIdAuthorFérée, Hugo-
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CS-Conference Papers(학술회의논문)
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