Normally distributed random numbers and arrays
Matlab | Scilab | ||||
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If A is a scalar, then Matlab returns a A*A random matrix but in Scilab you get a single random value, use rand(A,A,"normal") to get the same matrix B. Finally, if A is a matrix, in Scilab, B will be a matrix having the same size as A whereas in Matlab, you get an error message.
Note that in Matlab, A can contain complex values (in these cases, only real part of A is taken in account), what Scilab function do not tolerate.
Particular case: To get the state of the normal generator, in Matlab you have to use s=randn('state') to get 2 current values of the generator, but Scilab equivalent s=rand("seed") return only one value.