Convergence properties are presented for Newton additive and multiplicative Schwarz (AS and MS) iterative methods for the solution of nonlinear systems in several variables. These methods consist of approximate solutions of the linear Newton step using either AS or MS iterations, where overlap between subdomains can be used. Restricted versions of these methods are also considered. These Schwarz methods can also be used to precondition a Krylov subspace method for the solution of the linear Newton steps. Numerical experiments on parallel computers are presented, indicating the effectiveness of these methods.The Spanish Ministry of Science and Education (TIN2005-09037-C02-02); Universidad de Alicante (VIGROB-020); the U.S. Department of ...
This book shows the importance of studying semilocal convergence in iterative methods through Newton...
AbstractIn this work we introduce a technique for solving nonlinear systems that improves the order ...
In this work we introduce a technique for solving nonlinear systems that improves the order of conve...
Abstract. Convergence properties are presented for Newton additive and multiplicative Schwarz iterat...
Convergence properties are presented for Newton additive and multiplicative Schwarz (AS and MS) iter...
For linear problems, domain decomposition methods can be used directly as iterative solvers, but als...
AbstractIn recent years, an algebraic framework was introduced for the analysis of convergence of Sc...
We define and analyse partial Newton iterations for the solutions of a system of algebraic equations...
The Newton- Krylov iteration is the most prominent iterative method for solving non-linear system of...
The convergence of multiplicative Schwarz-type methods for solving linear systems when the coefficie...
Abstract. Inexact Newton algorithms are commonly used for solving large sparse nonlinear system of e...
We construct a novel multi-step iterative method for solving systems of nonlinear equations by intro...
For linear problems, domain decomposition methods can be used directly as iterative solvers, but als...
Classical iteration methods for linear systems, such as Jacobi iteration, can be accelerated consid...
International audienceThe solution of differential equations with implicit methods requires the solu...
This book shows the importance of studying semilocal convergence in iterative methods through Newton...
AbstractIn this work we introduce a technique for solving nonlinear systems that improves the order ...
In this work we introduce a technique for solving nonlinear systems that improves the order of conve...
Abstract. Convergence properties are presented for Newton additive and multiplicative Schwarz iterat...
Convergence properties are presented for Newton additive and multiplicative Schwarz (AS and MS) iter...
For linear problems, domain decomposition methods can be used directly as iterative solvers, but als...
AbstractIn recent years, an algebraic framework was introduced for the analysis of convergence of Sc...
We define and analyse partial Newton iterations for the solutions of a system of algebraic equations...
The Newton- Krylov iteration is the most prominent iterative method for solving non-linear system of...
The convergence of multiplicative Schwarz-type methods for solving linear systems when the coefficie...
Abstract. Inexact Newton algorithms are commonly used for solving large sparse nonlinear system of e...
We construct a novel multi-step iterative method for solving systems of nonlinear equations by intro...
For linear problems, domain decomposition methods can be used directly as iterative solvers, but als...
Classical iteration methods for linear systems, such as Jacobi iteration, can be accelerated consid...
International audienceThe solution of differential equations with implicit methods requires the solu...
This book shows the importance of studying semilocal convergence in iterative methods through Newton...
AbstractIn this work we introduce a technique for solving nonlinear systems that improves the order ...
In this work we introduce a technique for solving nonlinear systems that improves the order of conve...