The standard RTL function random generates random numbers that fulfill a uniform distribution. Here, for each member of the family all intervals of the same length on the distribution's support are equally probable. The continuous uniform distribution (also referred to as rectangular distribution) represents a family of symmetric probability distributions. They generate (pseudo) random numbers based on hardware.Ī third option is to use random numbers from external sources, either from specialised hardware devices or from public sources, e.g. Preferably this is done in the launch phase of the program.Īlternatively, on Unix- and Linux-based systems, the virtual devices /dev/random and /dev/urandom are available. Before its first use, FPC's random number generator has to be initialized with a single call of the randomize function, which sets the seed of the generator. Unlike Delphi, that uses a linear congruential generator.(See Delphi compatible LCG Random), Free Pascal uses a MersenneTwister algorithm for its standard random function as defined in RTL. They belong to a (large) set of repeating numbers, whose sequence is impossible or at least difficult to predict. ![]() ![]() ![]() They play a key role in numeric simulation.Īlgorithm-generated random numbers are pseudo-random numbers. Random numbers are important resources for a diverse field of applications, including scientific analysis, technology, medicine, economy, education, game development and visualization.
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