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Simultaneous Strong Separations of Probabilistic and Unambiguous Complexity Classes (1992) [4 citations — 0 self]

by David Eppstein ,  Lane A. Hemachandra ,  James Tisdall ,  Bülent Yener
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Abstract:

We study the relationship between probabilistic and unambiguous computation, and provide strong relativized evidence that they are incomparable. In particular, we display a relativized world in which the complexity classes embodying these paradigms of computation are mutually immune. We answer questions formulated in---and extend the line of research opened by---Geske and Grollman [15] and Balcazar and Russo [3]. 1 Introduction: Why Compare Computational Paradigms? Many complexity classes have been defined in recent years to characterize the computational powers of natural approaches to computation. However, # Some of these results were announced at the 1989 International Conference on Computing and Information, Toronto, Canada. + Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304. Research performed in part while at Columbia University, supported in part by NSF grants DCR-85-11713 and CCR-86-05353. # Department of Computer Science, University of Roc...

Citations

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