标题： 具有有限转移率集的高维马尔可夫过程的快速算法 显示英文标题

标题： A Fast Algorithm for High-Dimensional Markov Processes with Finite Sets of Transition Rates

摘要： 本文提出的离散类算法是一种高效模拟由相对较小的转换速率集所支配的随机过程的工具。 该算法被提出，其性能与现有方法进行了比较，并简要介绍了在外延生长和神经元模型中的应用。 源代码可从作者的WWW站点获得。 显示英文摘要

摘要： The discrete class algorithm presented in this paper is an efficient simulation tool for stochastic processes governed by a reasonably small set of transition rates. The algorithm is presented, its performance compared to prevailing methods and applications to epitaxial growth and neuronal models are sketched. Source code is available from the author's WWW-site.