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Published online by Cambridge University Press: 15 August 2002
We show that some classical P-complete problems can be solvedefficiently in average NC. The probabilistic model we consider is the sample space of input descriptions of the problem with the underlying distribution being the uniform one. We presentparallel algorithms that use a polynomial number of processors and have expected time upper bounded by (e ln 4 + o(1))log n, asymptotically with highprobability, where n is the instance size.