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...

Full description

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