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.
General
Imprint: |
Academic Press Inc
|
Country of origin: |
United States |
Release date: |
September 2020 |
First published: |
2021 |
Authors: |
Jose Manuel Vega
• Soledad Le Clainche
|
Dimensions: |
229 x 151mm (L x W) |
Format: |
Paperback
|
Pages: |
320 |
ISBN-13: |
978-0-12-819743-1 |
Categories: |
Books
|
LSN: |
0-12-819743-9 |
Barcode: |
9780128197431 |
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