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基于MC的计算机仿真随机模型分析与设计
引用本文:吴翠琴,黄艳国,邝先验. 基于MC的计算机仿真随机模型分析与设计[J]. 计算机与现代化, 2007, 0(10): 107-109
作者姓名:吴翠琴  黄艳国  邝先验
作者单位:江西理工大学机电工程学院,江西,赣州,341000
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.

关 键 词:计算机仿真  MC方法  随机分布  随机数  计算机仿真系统  随机模型  分析  设计  Method  Based  Computer Simulation  Stochastic Model  Design  问题  仿真实例  价值  模型算法  随机分布模型  随机数发生器  质量  方法  概率分布  描述  近似
文章编号:1006-2475(2007)10-0107-03
收稿时间:2007-04-20
修稿时间:2007-04-20

Analysis and Design of Stochastic Model in Computer Simulation Based on Monte-Carlo Method
WU Cui-qin,HUANG Yan-guo,KUANG Xian-yan. Analysis and Design of Stochastic Model in Computer Simulation Based on Monte-Carlo Method[J]. Computer and Modernization, 2007, 0(10): 107-109
Authors:WU Cui-qin  HUANG Yan-guo  KUANG Xian-yan
Affiliation:Faculty of Mechanical and Electronic Engineering , Jiangxi University of Science and Technology , Ganzhou 341000, China
Abstract:The probability distribution model is often used in simulation 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.
Keywords:computer simulation  MC method  random distribution  random number
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