9783319203249 - data assimilation: a mathematical introduction (texts in applied mathematics, 62, band 62) von law, kody; stuart, andrew; zygalakis, konstantinos (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer International Publishing AG, 2015
- Hardcover
Anbieter: Better World Books: West, Reno, NV, USABetter World Books: West
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Zustand: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Cham, Springer., 2015
- Hardcover
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XVIII, 242 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Texts in Applied Mathematics, Vol. 62. Sprache: Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, 2015
- Hardcover
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Gebunden. Zustand: New.
Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2015
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulati…on of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online.The book is organized into nine chapters: the first contains a brief introduction to the mathematical tools around which the material is organized; the next four are concerned with discrete time dynamical systems and discrete time data; the last four are concerned with continuous time dynamical systems and continuous time data and are organized analogously to the corresponding discrete time chapters.This book isaimed at mathematical researchers interested in a systematic development of this interdisciplinary field, and at researchers from the geosciences, and a variety of other scientific fields, who use tools from data assimilation to combine data with time-dependent models. The numerous examples and illustrations make understanding of the theoretical underpinnings of data assimilation accessible. Furthermore, the examples, exercises and MATLAB software, make the book suitable for students in applied mathematics, either through a lecture course, or through self-study.
