V Simoncini, DB Szyld - Numerical Linear Algebra with …, 2007 - Wiley Online Library
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 …
In the six years that have passed since the publication of the first edition of this book, iterative methods for linear systems have made good progress in scientific and engineering …
Y Saad, MH Schultz - SIAM Journal on scientific and statistical computing, 1986 - SIAM
We present an iterative method for solving linear systems, which has the property of minimizing at every step the norm of the residual vector over a Krylov subspace. The …
This textbook covers both direct and iterative methods for the solution of linear systems, least squares problems, eigenproblems, and the singular value decomposition. Earlier versions …
The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebraic equations is given a detailed treatment in this principles-based book …
Large linear systems of saddle point type arise in a wide variety of applications throughout computational science and engineering. Due to their indefiniteness and often poor spectral …
This is a revised edition of a book which appeared close to two decades ago. Someone scrutinizing how the field has evolved in these two decades will make two interesting …
This book describes why and how to do Scientific Computing for fundamental models of fluid flow. It contains introduction, motivation, analysis, and algorithms and is closely tied to freely …
HF Walker, P Ni - SIAM Journal on Numerical Analysis, 2011 - SIAM
This paper concerns an acceleration method for fixed-point iterations that originated in work of DG Anderson [J. Assoc. Comput. Mach., 12 (1965), pp. 547–560], which we accordingly …