| Autor: |
Bistrian, D. A., Dimitriu, G., Navon, I. M. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2019, Vol. 2164 Issue 1, p080002-1-080002-10, 10p, 1 Chart, 7 Graphs |
| Abstrakt: |
Prediction of disease spreading represents a challenging and actual topic. We propose in this paper a framework for reduced order modeling and forecasting of non-intrusive data with application to epidemiology. We developed a technique based on randomized dynamic mode decomposition (DMD) as a fast and accurate option in model order reduction (ROM). The key innovation consists in prediction of DMD-ROM dynamics using a forecasting sliding window technique. We illustrate the excellent behavior of the proposed methods by performing a qualitative analysis. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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