Analysis of using unifrnd function in MATLAB

1. Generate N-order [A, b] evenly distributed array

>> unifrnd (3,5,5,5) ans =    3.8651    4.6677    4.8115    4.3456 4.8560 4.0241    3.4079    3.5713    3.3737    3.5913    3.4801    3.2771    3.2824    3.0893    4.9933    4.4830    4.1280    4.8387    4.3936    4.1785    3.5041    3.5200    3.5431    4.1219    4.2411

2. function function: generate (continuous) uniformly distributed random numbers

How to use: R = Unifrnd (A, b)

Generates a random array r that is continuously uniformly distributed by a and B specified upper and lower endpoints [A, a].
If A and B are arrays, R (I,J) is generated by a and b corresponding elements that specify a continuous uniform distribution of random numbers.
If n or P is a scalar, it is extended to an array with the same number of dimensions as the other input.
R = unifrnd (A,b,m,n,...) or R = Unifrnd (A,b,[m,n,...])
Return m*n* ... Array.
If A and B are scalars, all elements in R are random numbers produced by the same distribution.
If A or B is an array, it must be m*n* ... Array.

Application Examples:

A = 0; b = 1:5; R1 = Unifrnd (A, b) r1 = 0.8147 1.8116 0.3810 3.6535 3.1618B = Repmat (b,5,1); R = Unifrnd (A, b) r = 0.0975 0.3152 0.4257 2.6230 3.7887 0.2785 1.9412 1.2653 0.1428 3.7157 0.5469 1.9143 2.7472 3.3965 1.9 611 0.9575 0.9708 2.3766 3.7360 3.2774 0.9649 1.6006 2.8785 2.7149 0.8559r2 = Unifrnd (A, B (2), 1,5) r2 = 1.4121 0.0637 0.553 8 0.0923 0.1943

3. A number Unifrnd (A, A, b) in rest their lives [a, b]

Analysis of using unifrnd function in MATLAB