摘要
在概率密度演化理论的框架下,发展了基于概率空间剖分的多维空间选点方法。引入点集Voronoi域内的概率作为点集的赋得概率,对点集的F-偏差进行了以赋得概率替代均匀概率的修正。在此基础上,进行误差估计,提出了以点集的修正F-偏差、一阶偏差和二阶偏差均尽可能小为准则的点集选取方法——两步选点法。分析实例表明,基于概率空间剖分的选点方法具有较高的精度和效率。文中最后指出需要进一步研究的问题。
In the framework of probability density evolution theory, a point selection strategy via partition of probability-assigned space is developed. The assigned probability attached to a point set is defined as the probability over the Voronoi cell of the points. The F-discrepancy which is used to measure the goodness of point set is modified where the equi-probability is replaced by the assigned probability. On the above basis, the error estimate is studied and the criterion of minimizing the modified F-discrepancy and the first and second discrepancy is proposed, consequently, a two-step procedure is developed. Numerical examples indicate that the proposed approach is of acceptable accuracy and of high efficiency. The problems need to be further studied are pointed out.
出处
《华中科技大学学报(城市科学版)》
CAS
2008年第4期1-5,共5页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金创新研究群体科学基金(50621062)
教育部新世纪优秀人才支持计划
关键词
概率密度演化
概率空间
剖分
非线性结构
随机反应
probability density evolution
probability-assigned space
partition
nonlinear structures
stochastic response