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Counting in Structural Complexity Theory

dc.contributor.authorHemachandra, Lane A.en_US
dc.date.accessioned2007-04-23T17:20:11Z
dc.date.available2007-04-23T17:20:11Z
dc.date.issued1987-06en_US
dc.description.abstractStructural complexity theory is the study of the form and meaning of computational complexity classes. Complexity classes - P, NP, Probabilistic P, PSPACE, etc. - are formalizations of computational powers - deterministic, nondeterministic, probabilistic, etc. By examining the structure of and the relationships between these classes, we seek to understand the relative strengths of their underlying computational paradigms. This thesis studies counting in structural complexity theory. We are interested in complexity classes defined by counting and in the use of counting to explore the structure of these and other classes.en_US
dc.format.extent8256150 bytes
dc.format.extent1921231 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR87-840en_US
dc.identifier.urihttps://hdl.handle.net/1813/6680
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleCounting in Structural Complexity Theoryen_US
dc.typetechnical reporten_US

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