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Cycle detection using a stack
Authors:Gabriel Nivasch
Affiliation:Weizmann Institute of Science, Rehovot 76100, Israel
Abstract:We present an algorithm for detecting periodicity in sequences produced by repeated application of a given function. Our algorithm uses logarithmic memory with high probability, runs in linear time, and is guaranteed to stop within the second loop through the cycle. We also present a partitioning technique that offers a time/memory tradeoff. Our algorithm is especially well suited for sequences where the cycle length is typically small compared to the length of the acyclic prefix.
Keywords:Cycle detection  Algorithms  Analysis of algorithms  Stack  Time/memory tradeoff  Random function
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