[PDF.41mh] The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods
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The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods
David S. Watkins
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| #4299393 in Books | 2007-11-13 | Original language:English | PDF # 1 | 9.72 x.91 x6.85l,1.73 | File type: PDF | 452 pages||5 of 5 people found the following review helpful.| The most up-to-date textbook for matrix eigenvalue problems|By M. C. Chen|After working on the reduction of IC interconnect networks for months, I am eager to find a book about matrix eigenvalue computations. Although there are several famous bibles in this field, like "The Algebraic Eigenvalue Problem" by James Wilkinson, they are not so up-to-date that some important topics l||'This is an excellent exposition of the state of the art in eigenvalue computations. It systematically combines the theory and the computational methods for structured and unstructured problems in a unique framework.' --Volker Mehrmann, Technische Universit&au
This book presents the first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like algorithms for dense problems and Krylov subspace methods for sparse problems. The author discusses the theory of the generic GR algorithm, including special cases (for example, QR, SR, HR), and the development of Krylov subspace methods. Also addressed are a generic Krylov process and the Arno...
You easily download any file type for your device.The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods | David S. Watkins. A good, fresh read, highly recommended.
