Abstract
Galerkin reduced order models (ROMs), e.g., based on proper orthogonal decomposition (POD) or reduced basis methods, have achieved significant success in the numerical simulation of fluid flows. The ROM numerical analysis, however, is still being developed. In this paper, we take a step in this direction and present a survey of a priori error bounds, with a particular focus on POD-based ROMs. Specifically, we outline the main components of ROM a priori error bounds, emphasize their practical importance, and discuss significant contributions to a priori error bounds for ROMs for fluids.
| Lingua originale | Inglese |
|---|---|
| Titolo della pubblicazione ospite | Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation |
| Editore | Springer |
| Pagine | 305-320 |
| Numero di pagine | 16 |
| ISBN (stampa) | 9783031957086 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2025 |
All Science Journal Classification (ASJC) codes
- Modellazione e Simulazione
- Ingegneria Generale
- Matematica Discreta e Combinatoria
- Controllo e Ottimizzazione
- Matematica Computazionale
Keywords
- POD
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