Description

Book Synopsis
Eigenvalue computations are ubiquitous in science and engineering. John Francis’s implicitly shifted QR algorithm has been the method of choice for small to medium sized eigenvalue problems since its invention in 1959. This book presents a new view of this classical algorithm. While Francis’s original procedure chases bulges, the new version chases core transformations, which allows the development of fast algorithms for eigenvalue problems with a variety of special structures. This also leads to a fast and backward stable algorithm for computing the roots of a polynomial by solving the companion matrix eigenvalue problem. The authors received a SIAM Outstanding Paper prize for this work.

This book will be of interest to researchers in numerical linear algebra and their students.

Core-Chasing Algorithms for the Eigenvalue

Product form

£57.80

Includes FREE delivery

RRP £68.00 – you save £10.20 (15%)

Order before 4pm today for delivery by Tue 20 Jan 2026.

A Paperback / softback by Jared L. Aurentz, Thomas Mach, Leonardo Robol

Out of stock


    View other formats and editions of Core-Chasing Algorithms for the Eigenvalue by Jared L. Aurentz

    Publisher: Society for Industrial & Applied Mathematics,U.S.
    Publication Date: 30/07/2018
    ISBN13: 9781611975338, 978-1611975338
    ISBN10: 1611975336
    Also in:
    Algorithms and data structures Applied mathematics

    Description

    Book Synopsis
    Eigenvalue computations are ubiquitous in science and engineering. John Francis’s implicitly shifted QR algorithm has been the method of choice for small to medium sized eigenvalue problems since its invention in 1959. This book presents a new view of this classical algorithm. While Francis’s original procedure chases bulges, the new version chases core transformations, which allows the development of fast algorithms for eigenvalue problems with a variety of special structures. This also leads to a fast and backward stable algorithm for computing the roots of a polynomial by solving the companion matrix eigenvalue problem. The authors received a SIAM Outstanding Paper prize for this work.

    This book will be of interest to researchers in numerical linear algebra and their students.

    Recently viewed products

    © 2026 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account