Algebraic multilevel preconditioners for algebraic problems arising from the discretization of a class of systems of coupled elliptic partial differential equations (PDEs) are presented. These preconditioners are based on modifications of Schwarz methods and of the smoothed aggregation technique, where the coarsening strategy and the restriction and prolongation operators are defined using a point-based approach with a primary matrix corresponding to a single PDE. The preconditioners are implemented in a parallel computing framework and are tested on two representative PDE systems. The results of the numerical experiments show the effectiveness and the scalability of the proposed methods. A convergence theory for the twolevel case is presented.

Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems / Borzì, Alfio; De Simone, Valentina; DI SERAFINO, Daniela. - In: COMPUTING AND VISUALIZATION IN SCIENCE. - ISSN 1432-9360. - 16:1(2013), pp. 1-14. [10.1007/s00791-014-0220-0]

Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems

di Serafino Daniela
2013

Abstract

Algebraic multilevel preconditioners for algebraic problems arising from the discretization of a class of systems of coupled elliptic partial differential equations (PDEs) are presented. These preconditioners are based on modifications of Schwarz methods and of the smoothed aggregation technique, where the coarsening strategy and the restriction and prolongation operators are defined using a point-based approach with a primary matrix corresponding to a single PDE. The preconditioners are implemented in a parallel computing framework and are tested on two representative PDE systems. The results of the numerical experiments show the effectiveness and the scalability of the proposed methods. A convergence theory for the twolevel case is presented.
2013
Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems / Borzì, Alfio; De Simone, Valentina; DI SERAFINO, Daniela. - In: COMPUTING AND VISUALIZATION IN SCIENCE. - ISSN 1432-9360. - 16:1(2013), pp. 1-14. [10.1007/s00791-014-0220-0]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/818668
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact