Stochastic Tools in Mathematics and Science: Texts in Applied Mathematics, cartea 58
Autor Alexandre J. Chorin, Ole H. Halden Limba Engleză Hardback – 8 mai 2013
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 473.13 lei 6-8 săpt. | |
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Hardback (1) | 463.61 lei 6-8 săpt. | |
Springer – 8 mai 2013 | 463.61 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781461469797
ISBN-10: 1461469791
Pagini: 200
Ilustrații: XI, 200 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.48 kg
Ediția:3rd ed. 2013
Editura: Springer
Colecția Springer
Seria Texts in Applied Mathematics
Locul publicării:New York, NY, United States
ISBN-10: 1461469791
Pagini: 200
Ilustrații: XI, 200 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.48 kg
Ediția:3rd ed. 2013
Editura: Springer
Colecția Springer
Seria Texts in Applied Mathematics
Locul publicării:New York, NY, United States
Public țintă
GraduateCuprins
Preliminary.- Probability.- Brownian Motion.- Stationary Stochastic Processes.- Statistical Mechanics.- Index.- Time-Dependent Statistical Mechanics.
Notă biografică
Alexandre J. Chorin is a professor of mathematics at the University of California, Berkeley who works in applied mathematics. He is known for his contributions to the field of Computational fluid dynamics. Ole Hald is a professor of mathematics at the University of California, Berkeley.
Textul de pe ultima copertă
"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
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
Caracteristici
Exercises are included at the end of each chapter An unusual feature of the book is its treatment of the effect of temporal correlations Ideas are presented within a clean, clear, and systematic framework Includes supplementary material: sn.pub/extras