Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L.

ISBN 10: 1611974496 / ISBN 13: 9781611974492

Published by Society for Industrial and Applied Mathematics, 2017

About this Item

Zustand: Gut | Seiten: 248 | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 42852863/3

Bibliographic Details

• Title: Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
• Publisher: Society for Industrial and Applied Mathematics
• Publication Date: 2017
• Language: English
• ISBN 10: 1611974496
• ISBN 13: 9781611974492
• Binding: Soft cover
• Condition: Gut

About this title

Synopsis

Data-driven dynamical systems is a burgeoning field connecting how measurements of nonlinear dynamical systems and/or complex systems are used with well-established methods in dynamical systems theory. This is the first book to address the DMD algorithm and present a pedagogical approach to all aspects of DMD currently or under development.

About the Author

J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics, Adjunct Professor of Physics and Electrical Engineering, and Senior Data Science Fellow with the eScience Institute at the University of Washington, Seattle.

Steven L. Brunton is an Assistant Professor of Mechanical Engineering, Adjunct Assistant Professor of Applied Mathematics, and a Data Science Fellow with the eScience Institute at the University of Washington, Seattle.

Bingni W. Brunton is the Washington Research Foundation Innovation Assistant Professor of Biology and a Data Science Fellow with the eScience Institute at the University of Washington, Seattle.

Joshua L. Proctor is an Associate Principal Investigator with the Institute for Disease Modeling as well as Affiliate Assistant Professor of Applied Mathematics and Mechanical Engineering at the University of Washington, Seattle.