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Titlebook: Stochastic Simulation and Monte Carlo Methods; Mathematical Foundat Carl Graham,Denis Talay Textbook 2013 Springer-Verlag Berlin Heidelberg

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發(fā)表于 2025-3-23 10:16:59 | 只看該作者
rganized with the 25th Italian Workshop on Neural Networks, .This book presents recent advances in nonlinearspeech processing beyond nonlinear techniques. It shows that it exploitsheuristic and psychological models of human interaction in order to succeed inthe implementations of socially believable
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發(fā)表于 2025-3-23 16:23:47 | 只看該作者
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發(fā)表于 2025-3-23 20:40:12 | 只看該作者
Carl Graham,Denis Talaynd Navier-Stokes equations, multilayer and dispersive shallo.The present volume contains selected papers issued from the sixth edition of the International Conference "Numerical methods for hyperbolic problems" that took place in 2019 in Málaga (Spain). NumHyp conferences, which began in 2009, focus
14#
發(fā)表于 2025-3-23 23:27:28 | 只看該作者
nd Navier-Stokes equations, multilayer and dispersive shallo.The present volume contains selected papers issued from the sixth edition of the International Conference "Numerical methods for hyperbolic problems" that took place in 2019 in Málaga (Spain). NumHyp conferences, which began in 2009, focus
15#
發(fā)表于 2025-3-24 02:27:55 | 只看該作者
Carl Graham,Denis TalayCombines advanced mathematical tools and theoretical analysis of stochastic numerical methods at a high level.Provides methods to reach optimal results on the accuracy of Monte Carlo simulations of st
16#
發(fā)表于 2025-3-24 07:02:09 | 只看該作者
Stochastic Modelling and Applied Probabilityhttp://image.papertrans.cn/s/image/878159.jpg
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發(fā)表于 2025-3-24 10:50:28 | 只看該作者
https://doi.org/10.1007/978-3-642-39363-160H10, 65U05, 65C05, 60J30, 60E7, 65R20; Markov processes; Monte Carlo methods; Stochastic calculus; Sto
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發(fā)表于 2025-3-24 18:44:08 | 只看該作者
19#
發(fā)表于 2025-3-24 21:30:04 | 只看該作者
Stochastic Simulation and Monte Carlo Methods978-3-642-39363-1Series ISSN 0172-4568 Series E-ISSN 2197-439X
20#
發(fā)表于 2025-3-24 23:43:10 | 只看該作者
Introductione classical objectives of random simulations, and to derive relevant convergence criteria for which error estimates need to be developed. Then the goals and the organization of this monograph are presented.
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