Many advances in the development of Krylov subspace methods for the iterative solution of
linear systems during the last decade and a half are reviewed. These new developments …

Among the iterative methods for solving large linear systems with a sparse (or, possibly,
structured) nonsymmetric matrix, those that are based on the Lanczos process feature short …

This book on iterative methods for linear and nonlinear equations can be used as a tutorial
and a reference by anyone who needs to solve nonlinear systems of equations or large …

Computational simulation of scientific phenomena and engineering problems often depends
on solving linear systems with a large number of unknowns. This book gives insight into the …

This book is about adaptive mesh generation and moving mesh methods for the numerical
solution of time-dependent partial differential equations. It presents a general framework and …

For a number of linear systems of equations arising from realistic problems, using the Bi-
CGSTAB algorithm of van der Vorst [17] to solve these equations is very attractive …

The purpose of this book is to unify and document in one place many of the techniques and
much of the current understanding about solving systems of linear equations on vector and …

Iterative solution of linear systems Page 1 Ada Numerica (1991), pp. 57-100 Iterative solution of
linear systems Roland W. Preund * RIACS, Mail Stop Ellis Street NASA Ames Research Center …

This book deals with numerical methods for solving large sparse linear systems of
equations, particularly those arising from the discretization of partial differential equations. It …

This book deals with various aspects of scientific numerical computing. No at tempt was
made to be complete or encyclopedic. The successful solution of a numerical problem has …