丸善のおすすめ度
Data-Driven Science and Engineering:Machine Learning, Dynamical Systems, and Control '19
Kutz, J. Nathan,
Brunton, Steven L.
著
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価格
\13,467(税込)
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発行年月 |
2019年02月 |
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出版国 |
アメリカ合衆国 |
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言語 |
英語 |
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媒体 |
冊子 |
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装丁 |
hardcover |
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ページ数/巻数 |
500 p. |
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ジャンル |
洋書/理工学/情報科学/人工知能 |
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ISBN |
9781108422093 |
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商品コード |
1027876924 |
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本の性格 |
学術書 |
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新刊案内掲載月 |
2018年10月 |
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書評掲載誌 |
Choice 2019/11 |
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商品URL
| https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1027876924 |
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著者紹介
Kutz, J. Nathan(著者):University of Washington
Brunton, Steven L.(著者):University of Washington
内容
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.