MATLAB and Simulink Based Books
Written for researchers in applied mathematics and scientific computing, this book 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. Topics include matrix theory, sparse matrices, perturbation theory and error analysis, and Krylov subspace methods.
MATLAB is used to solve numerous examples in the book. In addition, a supplemental set of MATLAB code files is available for download.