Results of research into large scale eigenvalue problems are presented in this volume. The papers fall into four principal categories:novel algorithms for solvi

This book is a guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems. The software described is based on the

This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numeri

Mathematics of Computing -- Numerical Analysis.

This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems a