基于MC的计算机仿真随机模型分析与设计  

Analysis and Design of Stochastic Model in Computer Simulation Based on Monte-Carlo Method

作　　者：吴翠琴[1] 黄艳国[1] 邝先验[1] 

机构地区：[1]江西理工大学机电工程学院,江西赣州341000

出　　处：《计算机与现代化》2007年第10期107-109,共3页Computer and Modernization

基　　金：江西省自然科学基金资助项目(0511030)

摘　　要：计算机仿真系统中经常要应用研究对象的随机分布模型获得符合要求的随机数,给出了利用蒙特卡罗(MC)法来近似地描述研究对象的概率分布的一般方法,设计了高质量的随机数发生器,研究了利用MC法得到计算机仿真系统中常见的随机分布模型算法,具有一定的实用价值。通过仿真实例,分析了在实际应用中应该注意的问题。The probability distribution model is often used in simtdation system to get the needed random number. Firstly how to simulate approximately the common method of probability distribution with Monte-Carlo（MC） is presented, and a high quality number randomizer is designed. The frequent stochastic distribution models on simulation system are mainly examined, which have some worth in utility. Finally, some problems in the practice application are analyzed through a real simulation instance.

关 键 词：计算机仿真 MC方法 随机分布 随机数 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]