Stochastic tools in mathematics and science

"Stochastic Tools in Mathematics and Science" covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. The topics covered include conditional expectations, stochastic processes, Brownian motion and its relation to partial differential equations, Langevin...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Chorin, Alexandre Joel, Hald, Ole H. (Awdur)
Fformat: Livre numérique
Iaith:Anglais
Cyhoeddwyd: New York, NY : Springer New York [20..].
Cham : Springer Nature
Rhifyn:3rd edition.
Cyfres:Texts in Applied Mathematics 58
Mynediad Ar-lein:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nodyn: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Stochastic tools in mathematics and science, Alexandre J. Chorin, 3rd edition, New York, Springer, 2013, 1 vol. (XI-200 p.), Texts in applied mathematics, 978-1-461-46979-7, Texte imprimé
• Stochastic Tools in Mathematics and Science, Texte imprimé, 9781461469810
• Stochastic Tools in Mathematics and Science, Texte imprimé, 9781489992659
• Stochastic tools in mathematics and science, Alexandre J. Chorin, 3rd edition, New York, Springer, 2013, 1 vol. (XI-200 p.), Texts in applied mathematics, 978-1-461-46979-7
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505 1 |a Preliminary Probability Brownian Motion Stationary Stochastic Processes Statistical Mechanics Index Time-Dependent Statistical Mechanics 
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506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a "Stochastic Tools in Mathematics and Science" covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. The topics covered include conditional expectations, stochastic processes, Brownian motion and its relation to partial differential equations, Langevin equations, the Liouville and Fokker-Planck equations, as well as Markov chain Monte Carlo algorithms, renormalization, basic statistical mechanics, and generalized Langevin equations and the Mori-Zwanzig formalism. The applications include sampling algorithms, data assimilation, prediction from partial data, spectral analysis, and turbulence.   The book is based on lecture notes from a class that has attracted graduate and advanced undergraduate students from mathematics and from many other science departments at the University of California, Berkeley. Each chapter is followed by exercises. The book will be useful for scientists and engineers working in a wide range of fields and applications.   For this new edition the material has been thoroughly reorganized and updated, and new sections on scaling, sampling, filtering and data assimilation, based on recent research, have been added. There are additional figures and exercises.   Review of earlier edition:   "This is an excellent concise textbook which can be used for self-study by graduate and advanced undergraduate students and as a recommended textbook for an introductory course on probabilistic tools in science." Mathematical Reviews, 2006   
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776 0 |0 170385116  |t Stochastic tools in mathematics and science  |f Alexandre J. Chorin  |e 3rd edition  |c New York  |n Springer  |d 2013  |p 1 vol. (XI-200 p.)  |s Texts in applied mathematics  |z 978-1-461-46979-7  |b Texte imprimé 
776 0 |t Stochastic Tools in Mathematics and Science  |b Texte imprimé  |z 9781461469810 
776 0 |t Stochastic Tools in Mathematics and Science  |b Texte imprimé  |z 9781489992659 
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