摘要
研究了采用Monte Carlo方法求解随机性问题的基本原理 ,并采用这一方法较好地解决了确定性方法难以解决的 3个具体问题 :随机误差干扰、最大弯矩及风险估计 .结果表明 ,对许多其它方法难以解决的随机性问题 ,Monte
In this paper, the fundamentals to solve the stochastic problems with Monte Carlo method are investigated. Three typical problems stochastic error interfere, maximum bending moment, and risk estimate are fairly well solved by M C method while it is very difficult for them to be solved with definitude method. The results show that a lot of stochastic problems very difficulty to be solved otherwise can be conveniently resolved by M C method.
出处
《甘肃工业大学学报》
北大核心
2001年第2期95-97,共3页
Journal of Gansu University of Technology
关键词
蒙特卡罗方法
随机性问题
随机数
概率分布
Monte Carlo method
stochastic problem
stochastic number
probability distribution
