Data-driven Science and Engineering Steven L. Brunton and J. Nathan Kutz

By:

Brunton, Steven L

Contributor(s):

Kutz. Nathan J

Language: English Publication details: Cambrdige 2022 UKEdition: 2nd edDescription: xxiv, 590 p. : illISBN:

9781009098489

Subject(s):

Engineering - Data processing

DDC classification:

620.00285 BRU

Summary: This textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences.

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Holdings
Item type	Current library	Call number	Status	Barcode
Reference	Anna Centenary Library 6TH FLOOR, A WING	620.00285 BRU (Browse shelf(Opens below))	Not for loan	674880

This textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences.

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Data-driven Science and Engineering Steven L. Brunton and J. Nathan Kutz

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