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:
“Man always made, and still makes, grotesque blunders in selecting and measuring forces, taken at random from the heap, but he never made a mistake in the value he set on the whole, which he symbolized as unity and worshipped as God. To this day, his attitude towards it has never changed, though science can no longer give to force a name.”
—Henry Brooks Adams (1838–1918)
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—Albert Speer (1905–1981)
“I call it our collective inheritance of isolation. We inherit isolation in the bones of our lives. It is passed on to us as sure as the shape of our noses and the length of our legs. When we are young, we are taught to keep to ourselves for reasons we may not yet understand. As we grow up we become the “men who never cry” and the “women who never complain.” We become another generation of people expected not to bother others with our problems.”
—Paula C. Lowe (20th century)