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Publicado por Oxford University Press, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Publicado por Oxford University Press, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Publicado por Oxford University Press, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Publicado por Oxford University Press, 2013
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Publicado por Oxford University Press, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Añadir al carritoHardcover. Condición: Brand New. 608 pages. 9.80x7.50x1.40 inches. In Stock.
Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Idioma: Inglés
Publicado por Oxford University Press, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Oxford University Press, Oxford, 2013
ISBN 10: 0199660336 ISBN 13: 9780199660339
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 0.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. DATA-DRIVEN MODELING & SCIENTIFIC COMP C | Kutz | Buch | Gebunden | Englisch | 2013 | ACADEMIC | EAN 9780199660339 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.