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Higher Order Dynamic Mode Decomposition and Its Applications by Soledad Le Clainche and Jose Manuel Vega (2020, Trade Paperback)
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Higher Order Dynamic Mode Decomposition and Its Applications.
- Buy it nowHigher Order Dynamic Mode Decomposition - Paperback, by Vega Jose Manuel; - New
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About this product
Product Identifiers
PublisherElsevier Science & Technology
ISBN-100128197439
ISBN-139780128197431
eBay Product ID (ePID)7038259458
Product Key Features
Number of Pages320 Pages
LanguageEnglish
Publication NameHigher Order Dynamic Mode Decomposition and Its Applications
SubjectMechanics / Fluids, Mechanical, General
Publication Year2020
TypeTextbook
Subject AreaMathematics, Technology & Engineering, Science
AuthorSoledad Le Clainche, Jose Manuel Vega
FormatTrade Paperback
Dimensions
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2020-951376
Dewey Edition23
IllustratedYes
Dewey Decimal518.2
Table Of Content1. General introduction and scope of the book2. Higher order dynamic mode decomposition3. HODMD applications to the analysis of flight tests and magnetic resonance4. Spatio-temporal Koopman decomposition5. Application of HODMD and STKD to some pattern forming systems6. Applications of HODMD and STKD in fluid dynamics7. Applications of HODMD and STKD in the wind industry8. HODMD and STKD as data driven reduced order models9. Conclusions
SynopsisHigher 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.
LC Classification NumberQA402.2
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