Large-scale problems of engineering and scientific computing often require solutions of eigenvalue and related problems. This book gives a unified overview of t

Mathematics of Computing -- Numerical Analysis.

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

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

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