Enhancing high-fidelity nonlinear solver with reduced order model

We propose the use of reduced order modeling (ROM) to reduce the computational cost and improve the convergence rate of nonlinear solvers of full order models (FOM) for solving partial differential equations. In this study, a novel ROM-assisted approach is developed to improve the computational effi...

Descripción completa

Detalles Bibliográficos
Autores principales: Kadeethum, Teeratorn, O’Malley, Daniel, Ballarin, Francesco, Ang, Ida, Fuhg, Jan N., Bouklas, Nikolaos, Silva, Vinicius L. S., Salinas, Pablo, Heaney, Claire E., Pain, Christopher C., Lee, Sanghyun, Viswanathan, Hari S., Yoon, Hongkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684583/
https://www.ncbi.nlm.nih.gov/pubmed/36418389
http://dx.doi.org/10.1038/s41598-022-22407-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684583/
https://www.ncbi.nlm.nih.gov/pubmed/36418389
http://dx.doi.org/10.1038/s41598-022-22407-6

Ejemplares similares