The Formulation and Analysis of Numerical Methods for Inverse Eigenvalue Problems Classic Reprint

This insightful book advances our understanding of inverse eigenvalue problems in the field of computational science, exploring analytically how to solve the equations that underpin them. It considers the case where multiple eigenvalues are given and offers a practical methodology for obtaining quadratically convergent solutions for both distinct and multiple eigenvalue cases. The methods are illustrated with numerical experiments, elucidating their application. This book provides a comprehensive guide to solving inverse eigenvalue problems, describing not only how to find solutions but also the limits of convergence. It is essential reading for researchers and practitioners working on the theoretical and practical aspects of inverse eigenvalue problems.