Random Polynomial Time is Equal to Semi-Random Polynomial Time
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We prove that any one-sided error random polynomial time (RP) algorithm can be simulated with a semi-random source at no more than polynomial factor loss in efficiency. i.e. RP=SRP. This contrasts with the fact that a semi-random source is too weak to simulate fair coin flips [SV].
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1988-12
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Cornell University
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computer science; technical report
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http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR88-959
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technical report