The Matrix Eigenvalue Problem
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Language: en
Pages: 452
Pages: 452
Type: BOOK - Published: 2007-01-01 - Publisher: SIAM
The first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like
Language: en
Pages: 292
Pages: 292
Type: BOOK - Published: 2011-01-01 - Publisher: SIAM
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numeri
Language: en
Pages: 272
Pages: 272
Type: BOOK - Published: 2006-01-20 - Publisher: Springer Science & Business Media
This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems a
Language: en
Pages: 586
Pages: 586
Type: BOOK - Published: 2020 - Publisher:
"A First Course in Linear Algebra, originally by K. Kuttler, has been redesigned by the Lyryx editorial team as a first course for the general students who have
Language: en
Pages: 408
Pages: 408
Type: BOOK - Published: 2005-06-16 - Publisher: Oxford University Press
Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions--the