For some generator types, you can create different substreams from a random stream. Values generated from different substreams are mutually independent. For instance, create a random number stream using a combined multiple recursive generator.
Ifrcis a vector of lengthlr, wherelr <= min(m,n), thenR = sprand(m,n,density,rc)hasrcas its firstlrsingular values and all others are zero. In this case,Ris generated by random plane rotations applied to a diagonal matrix with the given singular values. It has a great deal of to...
[R,P] = corrcoef(___)returns the matrix of correlation coefficients and the matrix of p-values for testing the hypothesis that there is no relationship between the observed phenomena (null hypothesis). Use this syntax with any of the arguments from the previous syntaxes. If an off-diagonal...
Use the stream to create a 3-by-3 matrix of random values with uniform distribution between 0 and 1. Get X1 = rand(s,3) X1 = 3×3 0.5361 0.9162 0.6395 0.6835 0.9749 0.5718 0.3380 0.3897 0.7105 Create another five random numbers from the stream. Get X2 = rand(s,1,5) X2 = ...
(1)randperm:random permutation,随机排列的意思。 randperm(n) 将1至n的序列打乱随机排列。如: >>randperm(5) ans = 5 3 4 1 2 randperm(m,n) 将前m个数中选取n个数进行随机排列,易知 m≥n。 >>randperm(8,5) ans = 5 7 9 8 3
For two-vector or two-matrix input, C is the 2-by-2 covariance matrix between the two random variables. The variances are along the diagonal of C.More About collapse all Covariance For two random variable vectors A and B, the covariance is defined as cov(A,B)=1N−1N∑i=1(Ai−...
>> help randi randi Pseudorandom integers from a uniform discrete distribution. R = randi(IMAX,N) returns an N-by-N matrix containing pseudorandom integer values drawn from the discrete uniform distribution on 1:IMAX. 本站已为你智能检索到如下内容,以供参考: 🐻 相关问答 5 个 1、转换一个...
For two-vector or two-matrix input, C is the 2-by-2 covariance matrix between the two random variables. The variances are along the diagonal of C.More About collapse all Covariance For two random variable vectors A and B, the covariance is defined as cov(A,B)=1N−1N∑i=1(Ai−...
C = cov(A,B) returns the covariance between two random variables A and B. C = cov(A,B) 返回两个随机变量A和B之间协方差。 If A and B are vectors of observations with equal length, cov(A,B) is the 2-by-2 covariance matrix. ...
cov - Covariance matrix. subspace - Angle between subspaces. Filtering and convolution.filter- One-dimensional digitalfilter. filter2 - Two-dimensional digitalfilter. conv - Convolution and polynomial multiplication. conv2 - Two-dimensional convolution. ...