We show that some classical P-complete problems can be solved efficiently i
n average NC. The probabilistic model we consider is the sample space of in
put descriptions of the problem with the underlying distribution being the
uniform one. We present parallel algorithms that use a polynomial number of
processors and have expected time upper bounded by (e ln 4 + o(1)) log n,
asymptotically with high probability, where n is the instance size.