Data-driven science and engineering : machine learning, dynamical systems, and control / Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington.
By: Brunton, Steven L. (Steven Lee) [author.]
.
Contributor(s): Kutz, Jose Nathan [author.].
Publisher: Cambridge, United Kingdom : Cambridge University Press, 2022Edition: Second edition.Description: xxiv, 590 pages : illustrations (some color) ; 27 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781009098489.Subject(s): Engineering -- Data processing | Science -- Data processingDDC classification: 620.00285
| Item type | Current location | Call number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|
| Graduate Collection | Taylor's Library-TU | 620.00285 BRU 2022 (Browse shelf) | Available | SCSxx,12713,03,RM | 5000174071 | |
| Main Collection | Taylor's Library-TU | 620.00285 BRU 2022 (Browse shelf) | Available | SCSxx,12713,03,RM | 5000174072 |
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| 620.00285/53 System simulation techniques with MATLAB and Simulink / | 620.00285/554 Spreadsheet tools for engineers using Excel / | 620.00285 BRA 2011 Programming for engineers : | 620.00285 BRU 2022 Data-driven science and engineering : | 620.00285 BRU 2022 Data-driven science and engineering : | 620.00285 ETT Introduction to ANSI C for engineers and scientists / | 620.00285 GOT Spreadsheet tools for engineers using Excel 2007 / |
Includes bibliographical references and index.