Recent computational developments in Krylov subspace methods for linear systems 论文

2006Numerical Linear Algebra with Applications引用 381
Matrix Theory and AlgorithmsElectromagnetic Scattering and AnalysisNumerical methods for differential equations

摘要

Abstract 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 include different versions of restarted, augmented, deflated, flexible, nested, and inexact methods. Also reviewed are methods specifically tailored to systems with special properties such as special forms of symmetry and those depending on one or more parameters. Copyright © 2006 John Wiley & Sons, Ltd.