From: couturie Date: Sun, 15 Dec 2013 16:36:43 +0000 (+0100) Subject: new version X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/Krylov_multi.git/commitdiff_plain/fedf59562159b08c86b61f27de746deb1fd42f98?ds=sidebyside new version --- diff --git a/krylov_multi.tex b/krylov_multi.tex index 88c218a..5cf4056 100644 --- a/krylov_multi.tex +++ b/krylov_multi.tex @@ -1,8 +1,32 @@ \documentclass{article} +\usepackage[utf8]{inputenc} +\usepackage{amsfonts,amssymb} +\usepackage{amsmath} +\usepackage{graphicx} + +\title{A scalable multisplitting algorithm for solving large sparse linear systems} + + \begin{document} +\author{Raphaël Couturier \and Lilia Ziane Khodja} + +\maketitle + + +\begin{abstract} +In this paper we revist the krylov multisplitting algorithm presented in [ref] +which uses a scalar method to minimize the krylov iterations computed by a +multisplitting algorithm. Our new algorithm is simply a parallel multisplitting +algorithm with few blocks of large size and a parallel krylov minimization is +used to improve the convergence. Some large scale experiments with a 3D Poisson +problem are presented. They show the obtained improvements compared to a +classical GMRES both in terms of number of iterations and execution times. +\end{abstract} + +\section{Introduction} -This paper presents .... -It's done... +Iterative methods used to solve large sparse linear systems of the form $Ax=b$ +because they are easier to parallelize than direct ones. \end{document}