Random Number Generation
A frequent problem in statistical simulations (the Monte Carlo method) is the generation of pseudo-random numbers that are distributed in a given way. Most algorithms are based on a pseudorandom number generator that produces numbers X that are uniformly distributed in the interval [0,1). These random variates X are then transformed via some algorithm to create a new random variate having the required probability distribution.
Read more about this topic: Probability Distribution
Famous quotes containing the words random, number and/or generation:
“... the random talk of people who have no chance of immortality and thus can speak their minds out has a setting, often, of lights, streets, houses, human beings, beautiful or grotesque, which will weave itself into the moment for ever.”
—Virginia Woolf (1882–1941)
“God ... created a number of possibilities in case some of his prototypes failed—that is the meaning of evolution.”
—Graham Greene (1904–1991)
“The pork sizzles and cries for fish. Luckily for the foolish race, and this particularly foolish generation of trout, the night shut down at last, not a little deepened by the dark side of Ktaadn, which, like a permanent shadow, reared itself from the eastern bank.”
—Henry David Thoreau (1817–1862)