Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Condition: 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.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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paperback. Condition: Acceptable. Pages include notes, underlining, or highlighting.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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paperback. Condition: Acceptable. Paperback. Wear and creasing to covers. Bottom right corner of front cover torn. Text clean and binding solid.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Language: English
Published by Oxford University Press (edition 1), 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Fine.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: Books From California, Simi Valley, CA, U.S.A.
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Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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First Edition
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Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
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Language: English
Published by Oxford University Press, 2026
ISBN 10: 0198929080 ISBN 13: 9780198929086
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Language: English
Published by Oxford University Press, 2026
ISBN 10: 0198929080 ISBN 13: 9780198929086
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paperback. Condition: New.
Language: English
Published by Oxford University Press, Oxford, 2026
ISBN 10: 0198929080 ISBN 13: 9780198929086
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data is an accessible introductory-to-advanced textbook focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering. Its overarching goal is to develop techniques that allow for the integration of the dynamics of complex systems and bigdata.This comprehensive textbook provides a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation, data-drivenmodelling, and machine learning. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological, and physical sciences.The high-level programming language python is used throughout the book to implement and develop mathematical solution strategies. One specific aim of the book is to integrate standard scientific computing methods with the burgeoning field of data analysis, machine learning and Artificial Intelligence (AI). Thisarea of research is expanding at an incredible pace in the sciences due to the proliferation of data collection in almost every field of science.The enormous data sets routinelyencountered in the sciences now certainly give a big 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. This brings together, in a self-consistent fashion, the key ideas from (i) statistics, (ii) time-frequency analysis and (iii) low-dimensional reductions in order to provide meaningful insight into the data sets one is faced with in any scientific field today,including those generated from complex dynamic systems. This is a tremendously exciting area and much of this part of the book is driven by intuitive examples of how the three areas (i)-(iii) can be used incombination to give critical insight into the fundamental workings of various problems. An accessible introductory to advanced text focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Oxford University Press, GB, 2026
ISBN 10: 0198929080 ISBN 13: 9780198929086
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Data-Driven Modeling and Scientific Computation: Methods for Complex Systems and Big Data is an accessible introductory-to-advanced textbook focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering. Its overarching goal is to develop techniques that allow for the integration of the dynamics of complex systems and big data.This comprehensive textbook provides a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation, data-driven modelling, and machine learning. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological, and physical sciences. The high-level programming language python is used throughout the book to implement and develop mathematical solution strategies. One specific aim of the book is to integrate standard scientific computing methods with the burgeoning field of data analysis, machine learning and Artificial Intelligence (AI). This area of research is expanding at an incredible pace in the sciences due to the proliferation of data collection in almost every field of science. The enormous data sets routinely encountered in the sciences now certainly give a big 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. This brings together, in a self-consistent fashion, the key ideas from (i) statistics, (ii) time-frequency analysis and (iii) low-dimensional reductions in order to provide meaningful insight into the data sets one is faced with in any scientific field today, including those generated from complex dynamic systems. This is a tremendously exciting area and much of this part of the book is driven by intuitive examples of how the three areas (i)-(iii) can be used in combination to give critical insight into the fundamental workings of various problems.
Condition: New. 2026. 2nd Edition. paperback. . . . . .
Language: English
Published by Oxford University Press, 2026
ISBN 10: 0198929080 ISBN 13: 9780198929086
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 52.55
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Oxford University Press, Oxford, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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 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, 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.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
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Condition: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2013. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by Oxford University Press, 2013
ISBN 10: 0199660344 ISBN 13: 9780199660346
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.