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The average-case analysis of probabilistic algorithms has proved to be very successful for finding asymptotic bounds on parameters of random regular graphs. Recently, the authors obtained a general transfer result which translates such bounds into (deterministic) results about all regular graphs with sufficiently large girth. In this paper, we apply this methodology to obtain new upper or lower bounds...
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