| Higher Order Dynamic Mode Decomposition and Its Applications Contributor(s): Vega, Jose Manuel (Author), Le Clainche, Soledad (Author) |
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ISBN: 0128197439 ISBN-13: 9780128197431 Publisher: Academic Press OUR PRICE: $158.40 Product Type: Paperback Published: September 2020 |
| Additional Information |
| BISAC Categories: - Science | Mechanics - Fluids - Technology & Engineering | Mechanical |
| Dewey: 515.353 |
| LCCN: 2020951376 |
| Physical Information: 0.67" H x 6" W x 9" (0.95 lbs) 320 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Higher Order Dynamic Mode Decomposition and Its Applications provides detailed background theory, as well as several fully explained applications from a range of industrial contexts to help readers understand and use this innovative algorithm. Data-driven modelling of complex systems is a rapidly evolving field, which has applications in domains including engineering, medical, biological, and physical sciences, where it is providing ground-breaking insights into complex systems that exhibit rich multi-scale phenomena in both time and space. Starting with an introductory summary of established order reduction techniques like POD, DEIM, Koopman, and DMD, this book proceeds to provide a detailed explanation of higher order DMD, and to explain its advantages over other methods. Technical details of how the HODMD can be applied to a range of industrial problems will help the reader decide how to use the method in the most appropriate way, along with example MATLAB codes and advice on how to analyse and present results. |
