A Novel Spatio-Temporal Fully Meshless Method for Parabolic PDEs
We introduce a meshless method derived by considering the time variable as a spatial variable without the need to extend further conditions to the solution of linear and non-linear parabolic PDEs. The method is based on a moving least squares method, more precisely, the generalized finite difference...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/72513 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/72513 |
| Access Level: | acceso abierto |
| Palabra clave: | generalized finite differences meshless method parabolic partial differential equations Matemáticas (Matemáticas) Funciones (Matemáticas) 12 Matemáticas 1202 Análisis y Análisis Funcional |
| Sumario: | We introduce a meshless method derived by considering the time variable as a spatial variable without the need to extend further conditions to the solution of linear and non-linear parabolic PDEs. The method is based on a moving least squares method, more precisely, the generalized finite difference method (GFDM), which allows us to select well-conditioned stars. Several 2D and 3D examples, including the time variable, are shown for both regular and irregular node distributions. The results are compared with explicit GFDM both in terms of errors and execution time. |
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