Numerical Methods for Roots of Polynomials - Part I

Nonfiction, Science & Nature, Mathematics, Mathematical Analysis, Applied
Cover of the book Numerical Methods for Roots of Polynomials - Part I by J.M. McNamee, Elsevier Science
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Author: J.M. McNamee ISBN: 9780080489476
Publisher: Elsevier Science Publication: August 17, 2007
Imprint: Elsevier Science Language: English
Author: J.M. McNamee
ISBN: 9780080489476
Publisher: Elsevier Science
Publication: August 17, 2007
Imprint: Elsevier Science
Language: English

Numerical Methods for Roots of Polynomials - Part I (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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Numerical Methods for Roots of Polynomials - Part I (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.

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