9780199660346 - data-driven modeling & scientific computation: methods for complex systems & big data von kutz, j. nathan (professor of applied mathematics, university of washington) (9 Ergebnisse)
- Softcover
Anbieter: Dream Books Co., Denver, CO, USADream Books Co.
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Zustand: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.
- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
- Softcover
Anbieter: medimops, Berlin, Deutschlandmedimops
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Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
- Softcover
Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1450grams, ISBN:9780199660346.
Sprache: Englisch
Verlag: Oxford University Press, United Kingdom, Oxford 2013
- Softcover
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes KönigreichWorldofBooks
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EUR 83,92
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Paperback. Zustand: Very Good. 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 scientific computing 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 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
- Softcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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EUR 88,92
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Zustand: New. 2013. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
- Softcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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EUR 110,53
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Paperback. Zustand: Brand New. 1st edition. 656 pages. 9.61x7.48x1.34 inches. In Stock.
Data-Driven Modeling & Scientific Computation
Kutz, J. Nathan (Professor of Applied Mathematics, University of Washington)
- Softcover
Anbieter: moluna, Greven, , Deutschlandmoluna
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EUR 84,09
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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.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 108,28
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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 algo…rithms 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.
