lhsdesigncon

Latin hypercube sample with constraints.

https://github.com/rikblok/matlab-lhsdesigncon

您现在正在关注此提交

Generate an NxP latin hypercube sample with bounds and linear constraints and optional exponential distribution.
X=LHSDESIGNCON(N,P,LB,UB,ISEXP) generates a latin hypercube sample X containing N values on each of P variables. For each column, if ISEXP is FALSE the N values are randomly distributed with one from each of N intervals, between LB and UB, of identical widths (UB-LB)/N, and they are randomly permuted. For columns with ISEXP=TRUE, the logarithm of the intervals have identical widths.
X=LHSDESIGNCON(...,A,b) generates a latin hypercube sample subject to the linear inequalities A*x ? b.

X=LHSDESIGNCON(...,'PARAM1',val1,'PARAM2',val2,...) specifies parameter name/value pairs to control the sample generation. See LHSDESIGN for valid parameters.

引用格式

Rik Blok (2026). lhsdesigncon (https://github.com/rikblok/matlab-lhsdesigncon), GitHub. 检索时间: .

致谢

参考作品: Latin Hypercube

MATLAB 版本兼容性

  • 兼容任何版本

平台兼容性

  • Windows
  • macOS
  • Linux

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明 Action
1.1.0.0

Simplify title

1.0.0.0

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库