| 查看: 5391 | 回复: 3 | ||||
[求助]
拉丁超立方试验设计
|
| 最优拉丁超立方试验设计应该怎么取样本点 |
回复此楼» 猜你喜欢
基于基元I统一理论的量子力学本源推导
已经有1人回复
-
推荐一款可以AI辅助写作的Latex编辑器SmartLatexEditor，超级好用，AI润色，全免费
已经有20人回复
-
物理学I论文润色/翻译怎么收费?
已经有289人回复
-
【EI|Scopus 双检索】第六届智能机器人系统国际会议（ISoIRS 2026）
已经有1人回复
-
2026年第四届电动车与车辆工程国际会议（CEVVE 2026）
已经有0人回复
» 本主题相关价值贴推荐，对您同样有帮助:
- 拉丁超立方试验设计程序
已经有2人回复
dbb627
荣誉版主 (著名写手)
-
专家经验: +4 - 计算强帖: 12
- 应助: 289 (大学生)
- 贵宾: 0.589
- 金币: 24640.4
- 散金: 551
- 红花: 61
- 沙发: 1
- 帖子: 1246
- 在线: 1794.8小时
- 虫号: 149791
- 注册: 2005-12-29
- 性别: GG
- 专业: 污染控制化学
- 管辖: 计算模拟
【答案】应助回帖
感谢参与，应助指数 +1
|
matlab 中有个 lhsdesign，不知是否满足你的要求 LHSDESIGN Generate a latin hypercube sample. X=LHSDESIGN(N,P) generates a latin hypercube sample X containing N values on each of P variables. For each column, the N values are randomly distributed with one from each interval (0,1/N), (1/N,2/N), ..., (1-1/N,1), and they are randomly permuted. X=LHSDESIGN(...,'PARAM1',val1,'PARAM2',val2,...) specifies parameter name/value pairs to control the sample generation. Valid parameters are the following: Parameter Value 'smooth' 'on' (the default) to produce points as above, or 'off' to produces points at the midpoints of the above intervals: .5/N, 1.5/N, ..., 1-.5/N. 'iterations' The maximum number of iterations to perform in an attempt to improve the design (default=5) 'criterion' The criterion to use to measure design improvement, chosen from 'maximin' (the default) to maximize the minimum distance between points, 'correlation' to reduce correlation, or 'none' to do no iteration. Latin hypercube designs are useful when you need a sample that is random but that is guaranteed to be relatively uniformly distributed over each dimension. |
2楼2013-08-28 09:14:22
3楼2014-06-12 15:48:07
4楼2014-09-24 11:05:25