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Interval algorithm for random number generation

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2 Author(s)
Te Sun Hao ; Sch. of Inf. Syst., Univ. of Electro-Commun., Tokyo, Japan ; M. Hoshi

The problem of generating a random number with an arbitrary probability distribution by using a general biased M-coin is studied. An efficient and very simple algorithm based on the successive refinement of partitions of the unit interval (0, 1), which we call the interval algorithm, is proposed. A fairly tight evaluation on the efficiency is given. Generalizations of the interval algorithm to the following cases are investigated: (1) output sequence is independent and identically distributed (i.i.d.); (2) output sequence is Markov; (3) input sequence is Markov; (4) input sequence and output sequence are both subject to arbitrary stochastic processes

Published in:

IEEE Transactions on Information Theory  (Volume:43 ,  Issue: 2 )