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:
“Novels as dull as dishwater, with the grease of random sentiments floating on top.”
—Italo Calvino (19231985)
“A good marriage ... is a sweet association in life: full of constancy, trust, and an infinite number of useful and solid services and mutual obligations.”
—Michel de Montaigne (15331592)
“Im afraid for all those wholl have the bread snatched from their mouths by these machines.... What business has science and capitalism got, bringing all these new inventions into the works, before society has produced a generation educated up to using them!”
—Henrik Ibsen (18281906)