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An Accelerated Bisection Method for the Calculation of Eigenvalues of a Symmetric Tridiagonal Matrix (Classic Reprint) - Softcover

 
9781332095698: An Accelerated Bisection Method for the Calculation of Eigenvalues of a Symmetric Tridiagonal Matrix (Classic Reprint)

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Excerpt from An Accelerated Bisection Method for the Calculation of Eigenvalues of a Symmetric Tridiagonal Matrix Summary. We present a method for the determination of eigenvalues of a symmetric tridiagonal matrix which combines Givens' Sturn bisection [4, 5] with interpolation, to accelerate convergence in high precision cases. By using an appropriate root of the absolute value of the determinant to derive the interpolation weight, results are obtained which compare favorably with the Barth, Martin, Wilkinson algorithm [1]. Subject Classifications: AMS (MOS): 15A18, 15-04, 65F10; CR: 5.14 1. Introduction When a modest subset of the eigenvalues of a symmetric tridiagonal matrix is required, the most effective technique available is the bisection method presented by Givens [4, 5]. As Wilkinson [6] notes, once an eigenvalue is approximately located, final convergence by interpolation may be more economical than continued bisection. However, in the case of repeated or clustered eigenvalues, interpolation is likely to be more expensive than bisection. Distinguishing the isolated eigenvalues from the repeated ones can often require more code and time than completion of the bisection. Indeed, many obvious techniques for converging to eigenvalues faster than with bisection turn out to take fewer steps, but considerably more time, because so much more has to be done in the inner loop. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally

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About the Author

Bernstein teaches physics at Hampshire College, holds a visiting research position at M.I.T., and is president of ISIS.

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  • PublisherForgotten Books
  • Publication date2024
  • ISBN 10 1332095690
  • ISBN 13 9781332095698
  • BindingPaperback
  • LanguageEnglish
  • Number of pages31

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Herbert J. Bernstein
Published by Forgotten Books, 2024
ISBN 10: 1332095690 ISBN 13: 9781332095698
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Paperback. Condition: New. Print on Demand. This book presents a novel method for calculating eigenvalues of symmetric tridiagonal matrices. Eigenvalues are crucial in various scientific fields, including quantum mechanics and vibration analysis. The author, a renowned mathematician, combines Givens' Sturm bisection with interpolation to accelerate convergence, especially in cases requiring high precision. Unlike existing techniques, this method guarantees convergence and efficiently handles repeated or clustered eigenvalues, a common challenge in eigenvalue calculations. The book includes detailed theoretical background and practical implementation, making it valuable for researchers, engineers, and students seeking an efficient and accurate approach to eigenvalue determination. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332095698_0

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Herbert J. Bernstein
Published by Forgotten Books, 2018
ISBN 10: 1332095690 ISBN 13: 9781332095698
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332095698

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