Data Driven Modeling Scientific Computation by Kutz Nathan (40 results)
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2013. 1st Edition. Paperback. . . . . .
- Softcover
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Paperback. Condition: 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 alg…orithms 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, andlow-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 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.
- Softcover
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- Softcover
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Condition: New. 2013. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
- Softcover
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Paperback. Condition: 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
Seller: moluna, Greven, Germanymoluna
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Condition: 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.
- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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- Hardcover
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 134.13
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Taschenbuch. Condition: 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 al…gorithms 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.
