Numerical Methods for Roots of Polynomials - Part II
eBook - ePub

Numerical Methods for Roots of Polynomials - Part II

  1. 728 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Numerical Methods for Roots of Polynomials - Part II

About this book

Numerical Methods for Roots of Polynomials - Part II along with Part I (9780444527295) covers most of the traditional methods for polynomial root-finding such as interpolation and methods due to Graeffe, Laguerre, and Jenkins and Traub. It includes many other methods and topics as well and has a chapter devoted to certain modern virtually optimal methods. Additionally, there are pointers to robust and efficient programs. This book is 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 with a description of high-grade software and where it can be downloaded - Offers a long chapter on matrix methods and includes Parallel methods and errors where appropriate - Proves invaluable for research or graduate course

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Yes, you can access Numerical Methods for Roots of Polynomials - Part II by J.M. McNamee,Victor Pan in PDF and/or ePUB format, as well as other popular books in Mathematics & Algebra. We have over one million books available in our catalogue for you to explore.

Information

Year
2013
Print ISBN
9780444527301
eBook ISBN
9780080931432

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Acknowledgment
  7. Preface
  8. Introduction
  9. Chapter 7. Bisection and Interpolation Methods
  10. Chapter 8. Graeffe’s Root-Squaring Method
  11. Chapter 9. Methods Involving Second or Higher Derivatives
  12. Chapter 10. Bernoulli, Quotient-Difference, and Integral Methods
  13. Chapter 11. Jenkins–Traub, Minimization, and Bairstow Methods
  14. Chapter 12. Low-Degree Polynomials
  15. Chapter 13. Existence and Solution by Radicals
  16. Chapter 14. Stability Considerations
  17. Chapter 15. Nearly Optimal Universal Polynomial Factorization and Root-Finding
  18. Index