The motivation for this conference was the wish to bring together specialists working on iterative solution methods, in particular using preconditioning methods. The topics presented at the conference contained both original analysis and implementational aspects of preconditioned conjugate gradient methods. Problems dealt with included symmetric positive definite, indefinite or unsymmetric problems. These proceedings contain the full text of 11 selected papers.

Large linear systems of equations arise in most scientific problems where mathematical models are used. The most efficient methods for solving these equations are iterative methods. The first part of this book contains basic and classical material from the study of linear algebra and numerical linear algebra. The second half of the book is unique among books on this topic, because it is devoted to the construction of preconditioners and iterative acceleration methods of the conjugate gradient type. This book is for graduate students and researchers in numerical analysis and applied mathematics.