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Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
J. Nathan Kutz
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Description for Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
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 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 · ... Read more
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 · ... Read more
Product Details
Publisher
Oxford University Press
Number of pages
656
Format
Paperback
Publication date
2013
Condition
New
Number of Pages
656
Place of Publication
Oxford, United Kingdom
ISBN
9780199660346
SKU
V9780199660346
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About J. Nathan Kutz
Professor Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics at the University of Washington. Prof. Kutz was awarded the B.S. in physics and mathematics from the University of Washington (Seattle, WA) in 1990 and the PhD in Applied Mathematics from Northwestern University (Evanston, IL) in 1994. He joined the Department of Applied Mathematics, University of Washington ... Read more
Reviews for Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
The book allows methods for dealing with large data to be explained in a logical process suitable for both undergraduate and post-graduate students ... With sport performance analysis evolving into deal with big data, the book forms a key bridge between mathematics and sport science
John Francis, University of Worcester
John Francis, University of Worcester