Global optimization for data assimilation in landslide tsunamis models
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916365361741824 |
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| author | Ferreiro-Ferreiro, A. M. García-Rodríguez, J. A. López-Salas, J. G. Escalante, C. Castro, M. J. |
| author_facet | Ferreiro-Ferreiro, A. M. García-Rodríguez, J. A. López-Salas, J. G. Escalante, C. Castro, M. J. |
| contents | The goal of this article is to make automatic data assimilation for a landslide tsunami model, given by the coupling between a non-hydrostatic multi-layer shallow-water and a Savage-Hutter granular landslide model for submarine avalanches. The coupled model is discretized using a positivity-preserving second-order path-conservative finite volume scheme. The data assimilation problem is posed in a global optimization framework and we develop and compare parallel metaheuristic stochastic global optimization algorithms, more precisely multi-path versions of the Simulated Annealing algorithm, with hybrid global optimization algorithms based on hybridizing Simulated Annealing with gradient local searchers, like L-BGFS-B. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11819 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Global optimization for data assimilation in landslide tsunamis models Ferreiro-Ferreiro, A. M. García-Rodríguez, J. A. López-Salas, J. G. Escalante, C. Castro, M. J. Geophysics Numerical Analysis The goal of this article is to make automatic data assimilation for a landslide tsunami model, given by the coupling between a non-hydrostatic multi-layer shallow-water and a Savage-Hutter granular landslide model for submarine avalanches. The coupled model is discretized using a positivity-preserving second-order path-conservative finite volume scheme. The data assimilation problem is posed in a global optimization framework and we develop and compare parallel metaheuristic stochastic global optimization algorithms, more precisely multi-path versions of the Simulated Annealing algorithm, with hybrid global optimization algorithms based on hybridizing Simulated Annealing with gradient local searchers, like L-BGFS-B. |
| title | Global optimization for data assimilation in landslide tsunamis models |
| topic | Geophysics Numerical Analysis |
| url | https://arxiv.org/abs/2408.11819 |