文件名称:LHS
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拉丁超立方抽样,调用方式如下:S=lhs(m,dist,mu,sigma,lowb,upb)
m: a scalar,the number of sample points
dist: A row with distribution type flags of basic random variables the
value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal)
and 4(for extreme type 1).
mu: A row vector comprising the mean value of basic random variables.
sigma: A row vector with its length equaligng to mu,including the standard
deviation of basic random variables.
lowb: a row vector with its elements are the lower bound of the sampling
interval
upb:a row vector with its elements are the upper bounds of the sampling
interval
dist,mu,sigma,lowb,upb must have the same length.
Output argument
S: sampling point matrix, of which each row is a sampling point.-code of Latin Hypercube Sampling
m: a scalar,the number of sample points
dist: A row with distribution type flags of basic random variables the
value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal)
and 4(for extreme type 1).
mu: A row vector comprising the mean value of basic random variables.
sigma: A row vector with its length equaligng to mu,including the standard
deviation of basic random variables.
lowb: a row vector with its elements are the lower bound of the sampling
interval
upb:a row vector with its elements are the upper bounds of the sampling
interval
dist,mu,sigma,lowb,upb must have the same length.
Output argument
S: sampling point matrix, of which each row is a sampling point.-code of Latin Hypercube Sampling
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LHS.m
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