Abstract
The Monte Carlo method is one of the best known computational methods. It involves utilization of random trials in solving mainly computational problems. To apply this method, a “source of randomness” is required, i.e., a device that produces realizations of random numbers. Such devices are called random number generators (RNG). RNG generate a sequence {ω n }, which is viewed as a sequence of independent random variables with a given distribution. Usually uniform random numbers, {ω n }, uniformly distributed on the interval (0,1), are used. We shall adopt this convention in what follows.
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© 1989 Birkhäuser Boston
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Gnedenko, B.V., Kovalenko, I.N. (1989). Statistical Simulation of Systems. In: Introduction to Queuing Theory. Mathematical Modeling, vol 5. Birkhäuser Boston. https://doi.org/10.1007/978-1-4615-9826-8_8
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DOI: https://doi.org/10.1007/978-1-4615-9826-8_8
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-3423-0
Online ISBN: 978-1-4615-9826-8
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