The Matrix Eigenvalue Problem
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An in-depth, theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems.
An in-depth, theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems.
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
Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions--the
Mathematics of Computing -- Numerical Analysis.