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Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (Stochastic Modelling and Applied Probability)
Carl Graham, Denis Talay
[PDF.mt25] Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (Stochastic Modelling and Applied Probability)
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| #2180098 in Books | Carl Graham | 2013-07-17 | Original language:English | PDF # 1 | 9.21 x.69 x6.14l,1.13 | File type: PDF | 260 pages | Stochastic Simulation and Monte Carlo Methods||From the Back Cover||In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random
In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems. The error analysis of these computations is a highly complex mathematical undertaking. Approaching...
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