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- W2100068417 abstract "The successive discrete structures generated by a sequential algorithm from random input constitute a Markov chain that may exhibit long term dependence on its first few input values. Using examples from random graph theory and search algorithms we show how such persistence of randomness can be detected and quantified with techniques from discrete potential theory. We also show that this approach can be used to obtain strong limit theorems in cases where previously only distributional convergence was known." @default.
- W2100068417 created "2016-06-24" @default.
- W2100068417 creator A5058089168 @default.
- W2100068417 date "2014-07-03" @default.
- W2100068417 modified "2023-09-27" @default.
- W2100068417 title "Persisting randomness in randomly growing discrete structures: graphs and search trees" @default.
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