| Autor: |
Gyurhan Nedzhibov |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Computation, Vol 10, Iss 12, p 210 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2079-3197 |
| DOI: |
10.3390/computation10120210 |
| Popis: |
Dynamic mode decomposition (DMD) is a data-driven, modal decomposition technique that describes spatiotemporal features of high-dimensional dynamic data. The method is equation-free in the sense that it does not require knowledge of the underlying governing equations. The main purpose of this article is to introduce new alternatives to the currently accepted algorithm for calculating the dynamic mode decomposition. We present two new algorithms which are more economical from a computational point of view, which is an advantage when working with large data. With a few illustrative examples, we demonstrate the applicability of the introduced algorithms. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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