rng gives you an easy way to do that, by creating a seed based on the current time. One simple way to avoid repeating the same random numbers in a new MATLAB session is to choose a different seed for the random number generator. So when it's necessary to combine calculations done in two or more MATLAB sessions as if they were statistically independent, you cannot use the default generator settings. Obviously, calculations that use the same "random" numbers cannot be thought of as statistically independent. But as mentioned above, each time you restart MATLAB those functions are reset and return the same sequences of numbers. Non-RepeatabilityĮach time you call rand, randi, or randn, they draw a new value from their shared random number generator, and successive values can be treated as statistically independent. For now, it serves as a way to see what generator rand, randi, and randn are currently using. You'll see in more detail below how to use the above output, including the State field, to control and change how MATLAB generates random numbers.
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