This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each c
Numerical Methods for Large Eigenvalue Problems
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A detailed view of the numerical methods used to solve large matrix eigenvalue problems that arise in various engineering and scientific applications. The emphasis is on the more difficult nonsymmetric problems, but much of the important material for symmetric problems is also covered. The text cont
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each c
This textbook presents a number of the most important numerical methods for finding eigenvalues and eigenvectors of matrices. The authors discuss the central ideas underlying the different algorithms and introduce the theoretical concepts required to analyze their behaviour. Several programming ex
<p>Eigenvalues and eigenvectors of matrices and linear operators play an important role when solving problems from structural mechanics and electrodynamics, e.g., by describing the resonance frequencies of systems, when investigating the long-term behavior of stochastic processes, e.g., by describin
Второе издание полезной книги, выложенное автором на его сайте.<br/>http://www-users.cs.umn.edu/~saad/books.html.<br/>This is the second edition of a book published almost two decades ago by Manchester University Press (See below). The book is published by SIAM.<br/>SIAM, 2011 / xvi + 276 pages / So