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In den WarenkorbPaperback. Zustand: Fine.
Sprache: Englisch
Verlag: Oxford University Press September 2013, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Trade Paperback. Zustand: VG. used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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hardcover. Zustand: Very Good. 2nd Edition. Used - Very Good.
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Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108422098 ISBN 13: 9781108422093
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In den WarenkorbPaperback. Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1108422098 ISBN 13: 9781108422093
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Oxford University Press, Oxford, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Paperback. Zustand: new. Paperback. 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 reductions The 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 variousproblems.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. 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 systems and big data. MATLAB is used throughout for mathematical solution strategies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Springer International Publishing AG, CH, 2023
ISBN 10: 3031295625 ISBN 13: 9783031295621
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In den WarenkorbPaperback. Zustand: New. 1st ed. 2023. This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models.The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 656 pages. 9.61x7.48x1.34 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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Sprache: Englisch
Verlag: Cambridge University Press 2022-05-05, 2022
ISBN 10: 1009098489 ISBN 13: 9781009098489
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In den WarenkorbHardcover. Zustand: New.