A FIRST COURSE IN MONTE CARLO shows you how to design, perform, and analyze the results of MC experiments based on independent replications, Markov chain MC, and MC optimization. The text emphasizes the variance-reducing techniques of importance sampling, stratified sampling, Rao-Blackwellization, control variates, antithetic variates, and quasi-random numbers. For solving optimization problems it describes several MC techniques, including simulated annealing, simulated tempering, swapping, stochastic tunneling, and genetic algorithms. Examples from many areas show how these techniques perform in practice. Hands-on exercises allow you to experience challenges encountered when solving real problems. An answer key to selected problems is included.
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Vendeur : Twice Sold Tales, Capitol Hill, Seattle, WA, Etats-Unis
Hardcover, 414 pages. Etat : Very good. Light soiling to pictorial boards, corners slightly bumped. Pages appear free of writing / highlighting. In nice shape. N° de réf. du vendeur 9725
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Vendeur : GoldBooks, Denver, CO, Etats-Unis
Etat : new. N° de réf. du vendeur 26W89_61_053442046X
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