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Titlebook: Stochastic Numerics for Mathematical Physics; Grigori N. Milstein,Michael V. Tretyakov Book 2021Latest edition Springer Nature Switzerland

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書目名稱Stochastic Numerics for Mathematical Physics
編輯Grigori N. Milstein,Michael V. Tretyakov
視頻videohttp://file.papertrans.cn/879/878048/878048.mp4
概述Provides a rich source of practical algorithms for stochastic differential equations and related PDEs.Gives a solid theoretical foundation for stochastic numerics.Features a new chapter on backward st
叢書名稱Scientific Computation
圖書封面Titlebook: Stochastic Numerics for Mathematical Physics;  Grigori N. Milstein,Michael V. Tretyakov Book 2021Latest edition Springer Nature Switzerland
描述.This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. The new topics, in particular, include mean-square and weak approximations in the case of nonglobally Lipschitz coefficients of Stochastic Differential Equations (SDEs) including the concept of rejecting trajectories; conditional probabilistic representations and their application to practical variance reduction using regression methods; multi-level Monte Carlo method; computing ergodic limits and additional classes of geometric integrators used in molecular dynamics; numerical methods for FBSDEs; approximation of parabolic SPDEs and nonlinear filtering problem based on the method of characteristics..SDEs have many applications in the natural sciences and in finance. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce the solution of multi-dimensional problems for partial differential equations to the integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. Many special schemes for SDEs are
出版日期Book 2021Latest edition
關(guān)鍵詞Stochastic Differential Equations; SDEs; backward SDEs; computing ergodic limits; geometric integration;
版次2
doihttps://doi.org/10.1007/978-3-030-82040-4
isbn_softcover978-3-030-82042-8
isbn_ebook978-3-030-82040-4Series ISSN 1434-8322 Series E-ISSN 2198-2589
issn_series 1434-8322
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Solving FBSDEs Using Layer Methods,oundary value problem for semilinear PDE. Algorithms for FBSDEs with random terminal time are constructed using mean-square approximations of diffusions in bounded domains from Chap. . and layer methods for the Dirichlet problem from Chap. .. The results are supported by numerical experiments.
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tute the social identity of human actors. David Graeber argues that what is ultimately being valued are actions and not things.?During the Maya Classic period jade objects may have been on the precipice of the transition from esteemed value to measured value because the ideological conceptions of th
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