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Pseudo-random number generation
The random number library provides classes that generate random and pseudo-random numbers. The library contains two types of components:
- Engines, which are generators of random numbers (both pseudo-random number generators, which generate integer sequences with a uniform distribution, and true random number generators if available)
- Distributions which convert the output of random number engines into various statistical distributions
Random number engines
All engines (except the
random_device) produce integer numbers in a uniform distribution using seed data as entropy source.
Random number distributions
Random number distributions post-processe the output of an random number engine in such a way that the resulting output is distributed according to a defined statistical probability density function.
The follwing example prints the uniform distribution of an random generator.
Play around with different engines and distributions.