The rand, randi, randn, and randperm functions are the primary functions for creating arrays of random numbers. The rng function allows you to control the seed and algorithm that generates random numbers. Random
Clone Size from Existing Array Copy Code Copy Command Create a matrix of random numbers with the same size as an existing array. Use the stable distribution with shape parameters 2 and 0, scale parameter 1, and location parameter 0. Get A = [3 2; -2 1]; sz = size(A); R = rand...
Create a 3-by-2-by-3 array of random numbers. Get X = randn([3,2,3]) X = X(:,:,1) = 0.5377 0.8622 1.8339 0.3188 -2.2588 -1.3077 X(:,:,2) = -0.4336 2.7694 0.3426 -1.3499 3.5784 3.0349 X(:,:,3) = 0.7254 -0.2050 -0.0631 -0.1241 0.7147 1.4897 Specify Data Type of ...
3-D Array of Random Numbers Copy Code Copy Command Create a 3-by-2-by-3 array of random numbers. Get X = rand([3,2,3]) X = X(:,:,1) = 0.8147 0.9134 0.9058 0.6324 0.1270 0.0975 X(:,:,2) = 0.2785 0.9649 0.5469 0.1576 0.9575 0.9706 X(:,:,3) = 0.9572 0.1419 0.4854 0.4...
Create a 3-by-2-by-3 array of random numbers. X = rand([3,2,3]) X = X(:,:,1) = 0.8147 0.9134 0.9058 0.6324 0.1270 0.0975 X(:,:,2) = 0.2785 0.9649 0.5469 0.1576 0.9575 0.9706 X(:,:,3) = 0.9572 0.1419 0.4854 0.4218 0.8003 0.9157 ...
This example shows how to create an array of random floating-point numbers that are drawn from a uniform distribution in the open interval (50, 100).
Generate a 1-by-6 array of exponential random numbers with unit mean. Get mu1 = ones(1,6); % 1-by-6 array of ones r1 = exprnd(mu1) r1 = 1×6 0.2049 0.0989 2.0637 0.0906 0.4583 2.3275 By default, exprnd generates an array that is the same size as mu. If you specify mu as...
return an M-by-N-by-... array of random numbers for a two- or three-parameter distribution. NAME can be: 'beta' or 'Beta', 'bino' or 'Binomial', 'chi2' or 'Chisquare', 'exp' or 'Exponential', 'ev' or 'Extreme Value', ...
R = NORMRND(MU,SIGMA) returns an array of random numbers chosen from a normal distribution with mean MU and standard deviation SIGMA. The size of R is the common size of MU and SIGMA if both are arrays. If either parameter is a scalar, the size of R is the size of the other pa...
p = single([3 2; -2 1]); Create an array of random numbers that is the same size and data type as p. X = rand(size(p),'like',p) X = 0.8147 0.1270 0.9058 0.9134 class(X) ans = single orth 求矩阵的标准正交基(PS:矩阵分析时代离我已经遥远) 不过记得意思好像是,正交矩阵的转置...