Improving the Florentine algorithms: recovering algorithms for Motzkin and Schröder paths
نویسنده
چکیده
We present random sampling procedures for Motzkin and Schröder paths, following previous work on Dyck paths. Our algorithms follow the anticipated rejection method of the Florentine algorithms (Barcucci et al. 1994+), but introduce a recovery idea to greatly reduce the probability of rejection. They use an optimal amount of randomness and achieve a better time complexity than the Florentine algorithms.
منابع مشابه
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ورودعنوان ژورنال:
- CoRR
دوره abs/1802.06030 شماره
صفحات -
تاریخ انتشار 2018