Reduction of the computational burden of POD models with polynomial nonlinearities
This paper presents a technique for making the evaluation of POD models with polynomial nonlinearities less intensive. Regularly, Proper Orthogonal Decomposition (POD) and Galerkin projection have been employed to reduce the highdimensionality of the discretized systems used to approximate Partial D...
- Autores:
-
Agudelo Mañozca, Oscar Mauricio
Espinosa, Jairo Jose
De Moor, Bart
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2010
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/12001
- Acceso en línea:
- http://red.uao.edu.co//handle/10614/12001
- Palabra clave:
- Computational modeling
Polynomials
Mathematical model
Reduced order systems
Approximation methods
- Rights
- openAccess
- License
- Derechos Reservados - Universidad Autónoma de Occidente