Numerical Methods for Large Nonsymmetric Eigenvalue Problems

This monograph, part of a series dealing with advanced scientific computing, deals with sparse matrices, perturbation theory and error analysis, spectral approximation, eigenvalue problems and more. The series of monographs reflects the advent of vector and parallel processing and the development of new algorithms and techniques, some of which relate to parallelism and some of which are due to the emergence of new methods in applied mathematics.