In this paper we consider a two-stage iterative method for solving weakly nonlinear systems generated by the discretization of semilinear elliptic boundary value problems. This method is well suited for implementation on parallel computers. Theorems about the convergence and the monotone convergence of the method are proved. An application of the method for solving real practical problems related to the study of reaction-diffusion processes and of interacting populations is described.

A two-stage iterative method for solving weakly nonlinear systems / Galligani, Emanuele. - In: ATTI DEL SEMINARIO MATEMATICO E FISICO DELL'UNIVERSITA' DI MODENA. - ISSN 0041-8986. - STAMPA. - L:(2002), pp. 195-215.

A two-stage iterative method for solving weakly nonlinear systems

GALLIGANI, Emanuele
2002

Abstract

In this paper we consider a two-stage iterative method for solving weakly nonlinear systems generated by the discretization of semilinear elliptic boundary value problems. This method is well suited for implementation on parallel computers. Theorems about the convergence and the monotone convergence of the method are proved. An application of the method for solving real practical problems related to the study of reaction-diffusion processes and of interacting populations is described.
2002
Inglese
L
195
215
21
Newton method; arithmetic-mean method; monotone convergence
Questo lavoro è stato oggetto di una comunicazione su invito alla conferenza “High Performance Scientific Computing” in onore del Professore David John Evans, tenutasi a Bologna, 5-6 febbraio 2001
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info:eu-repo/semantics/article
Contributo su RIVISTA::Articolo su rivista
262
A two-stage iterative method for solving weakly nonlinear systems / Galligani, Emanuele. - In: ATTI DEL SEMINARIO MATEMATICO E FISICO DELL'UNIVERSITA' DI MODENA. - ISSN 0041-8986. - STAMPA. - L:(2002), pp. 195-215.
Galligani, Emanuele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/452950
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