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Numerical methods for roots of polynomials 1

โœ Scribed by J.M. McNamee


Book ID
127456399
Publisher
Elsevier
Year
2007
Tongue
English
Weight
4 MB
Series
Studies in computational mathematics 14 1570-579X
Edition
1st ed
Category
Library
City
Amsterdam; Boston
ISBN
044452729X
ISSN
1570-579X

No coin nor oath required. For personal study only.

โœฆ Synopsis


This book (along with volume 2 covers most of the traditional methods for polynomial root-finding such as Newton's, as well as numerous variations on them invented in the last few decades. Perhaps more importantly it covers recent developments such as Vincent's method, simultaneous iterations, and matrix methods. There is an extensive chapter on evaluation of polynomials, including parallel methods and errors. There are pointers to robust and efficient programs. In short, it could be entitled "A Handbook of Methods for Polynomial Root-finding". This book will be invaluable to anyone doing research in polynomial roots, or teaching a graduate course on that topic.

  • First comprehensive treatment of Root-Finding in several decades. - Gives description of high-grade software and where it can be down-loaded. - Very up-to-date in mid-2006; long chapter on matrix methods. - Includes Parallel methods, errors where appropriate. - Invaluable for research or graduate course.

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Numerical methods for roots of polynomia
โœ J.M. McNamee ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Elsevier ๐ŸŒ English โš– 4 MB

This book (along with volume 2 covers most of the traditional methods for polynomial root-finding such as Newton's, as well as numerous variations on them invented in the last few decades. Perhaps more importantly it covers recent developments such as Vincent's method, simultaneous iterations, and m

Numerical Methods for Roots of Polynomia
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A new method is presented for the isolation of the real roots of a given integral, univariate, square-free polynomial P. This method is based on Vincent's theorem and only uses: (i) Descartes' rule of signs, and (ii) transformations of the form x = a1 + 1/x′, x′ = a2 + 1/x″, x&#824