Cargando…
Machine-learning-based spectral methods for partial differential equations
Spectral methods are an important part of scientific computing’s arsenal for solving partial differential equations (PDEs). However, their applicability and effectiveness depend crucially on the choice of basis functions used to expand the solution of a PDE. The last decade has seen the emergence of...
Autores principales: | Meuris, Brek, Qadeer, Saad, Stinis, Panos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889394/ https://www.ncbi.nlm.nih.gov/pubmed/36720936 http://dx.doi.org/10.1038/s41598-022-26602-3 |
Ejemplares similares
-
Implementing spectral methods for partial differential equations
por: Kopriva, David A
Publicado: (2009) -
Partial Differential Equations and Spectral Theory
por: Demuth, Michael, et al.
Publicado: (2011) -
Partial Differential Equations and Spectral Theory
por: Demuth, Michael, et al.
Publicado: (2001) -
Selected papers from the ICOSAHOM conference : Spectral and High Order Methods for Partial Differential Equations
por: Azaïez, Mejdi, et al.
Publicado: (2014) -
Nonlinear hyperbolic equations, spectral theory, and wavelet transformations: a volume of advances in partial differential equations
por: Albeverio, Sergio, et al.
Publicado: (2003)