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Stochastic Tools in Mathematics and Science (Hardcover, 3rd ed. 2013)
Loot Price: R2,323
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Stochastic Tools in Mathematics and Science (Hardcover, 3rd ed. 2013)
Series: Texts in Applied Mathematics, 58
Expected to ship within 12 - 17 working days
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"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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