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In den WarenkorbPaperback. Zustand: Fine.
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 656 pages. 9.61x7.48x1.34 inches. In Stock.
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Buch. Zustand: New. Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex sys.
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 656 pages. 9.61x7.48x1.34 inches. In Stock.
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In den WarenkorbZustand: New. pp. 656 200 Illus.
Sprache: Englisch
Verlag: Oxford University Press (edition Illustrated), 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. Illustrated. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Sprache: Englisch
Verlag: Oxford University Press Sep 2013, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific setting. A specific aim of this book is to integrate standard scientificcomputing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: statistics time-frequency analysis, and low-dimensional reductionsThe blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting field and much of the final part of the book is driven by intuitive examples from it, showing how the three areas can be used in combination to give critical insight into the fundamental workings of various problems.Data-Driven Modeling and Scientific Computation is a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation and analysis. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological and physical sciences.An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Data-Driven Modeling & Scientific Computation | Methods for Complex Systems & Big Data | J Nathan Kutz | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | Oxford University Press | EAN 9780199660346 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.