Perturbation Properties of a Multiple Eigenvalue of the Definite Generalized Eigenvalue Problem PDF Download
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 15
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 15
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Book Description
Author: G. W. Stewart
Publisher:
ISBN:
Category :
Languages : en
Pages : 16
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Book Description
This paper concerns perturbation theory for the generalized eigenvalue problem Ax = lambdaBx where A and B are real symmetric matrices of order n> or = to 3. When B is positive definite, as is usually the case in applications, the problem can be reduced to a symmetric eigenvalue problem for the matrix square root of B times the square root of AB, and the wealth of perturbation theory for symmetric eigenvalue problems can be applied.
Author: G. W. Stewart
Publisher:
ISBN:
Category :
Languages : en
Pages : 26
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Book Description
It is shown that a definite problem has a complete system of eigenvectors and its eigenvalues are real. Under perturbations of A and B, the eigenvalues behave like the eigenvalues of a Hermitian matrix in the sense that there is a 1-1 pairing of the eigenvalues with the perturbed eigenvalues and a uniform bound for their differences (in this case in the chordal metric). Perturbation bounds are also developed for eigenvectors and eigenspaces.
Author: Yousef Saad
Publisher: SIAM
ISBN: 9781611970739
Category : Mathematics
Languages : en
Pages : 292
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Book Description
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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi-Davidson method, and automatic multilevel substructuring.
Author: Franz Rellich
Publisher: CRC Press
ISBN: 9780677006802
Category : Mathematics
Languages : en
Pages : 144
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Book Description
Author: Tosio Kato
Publisher: Springer Science & Business Media
ISBN: 3662126788
Category : Mathematics
Languages : en
Pages : 610
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Book Description
Author: Daniel Kressner
Publisher: Springer Science & Business Media
ISBN: 3540285024
Category : Mathematics
Languages : en
Pages : 272
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Book Description
This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems and all vital aspects of eigenvalue computations. A unique feature is the detailed treatment of structured eigenvalue problems, providing insight on accuracy and efficiency gains to be expected from algorithms that take the structure of a matrix into account.
Author: J. Cullum
Publisher: Elsevier
ISBN: 0080872387
Category : Mathematics
Languages : en
Pages : 339
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Book Description
Results of research into large scale eigenvalue problems are presented in this volume. The papers fall into four principal categories: novel algorithms for solving large eigenvalue problems, novel computer architectures, computationally-relevant theoretical analyses, and problems where large scale eigenelement computations have provided new insight.
Author: Tetsuya Sakurai
Publisher: Springer
ISBN: 3319624261
Category : Computers
Languages : en
Pages : 312
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Book Description
This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers. It gathers selected topics presented at the International Workshops on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2014 and EPASA2015), which brought together leading researchers working on the numerical solution of matrix eigenvalue problems to discuss and exchange ideas – and in so doing helped to create a community for researchers in eigenvalue problems. The topics presented in the book, including novel numerical algorithms, high-performance implementation techniques, software developments and sample applications, will contribute to various fields that involve solving large-scale eigenvalue problems.
Author: Gina E. Miner
Publisher:
ISBN:
Category : MATLAB.
Languages : en
Pages : 212
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Book Description
" ... a survey of perturbation bounds on several quantities of interest in matrix eigenanalysis ... In addition ... a software facility for analyzing perturbations has been developed using MATLAB, [which facility] is described."--Abstract.
