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Error-Free Polynomial Matrix Computations

  • Book
  • © 1985

Overview

Part of the book series: Monographs in Computer Science (MCS)

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Table of contents (5 chapters)

Keywords

About this book

This book is written as an introduction to polynomial matrix computa­ tions. It is a companion volume to an earlier book on Methods and Applications of Error-Free Computation by R. T. Gregory and myself, published by Springer-Verlag, New York, 1984. This book is intended for seniors and graduate students in computer and system sciences, and mathematics, and for researchers in the fields of computer science, numerical analysis, systems theory, and computer algebra. Chapter I introduces the basic concepts of abstract algebra, including power series and polynomials. This chapter is essentially meant for bridging the gap between the abstract algebra and polynomial matrix computations. Chapter II is concerned with the evaluation and interpolation of polynomials. The use of these techniques for exact inversion of poly­ nomial matrices is explained in the light of currently available error-free computation methods. In Chapter III, the principles and practice of Fourier evaluation and interpolation are described. In particular, the application of error-free discrete Fourier transforms for polynomial matrix computations is consi­ dered.

Authors and Affiliations

  • Department of Computer Science, University of Waikato, Hamilton, New Zealand

    E. V. Krishnamurthy

Bibliographic Information

  • Book Title: Error-Free Polynomial Matrix Computations

  • Authors: E. V. Krishnamurthy

  • Series Title: Monographs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4612-5118-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1985

  • Softcover ISBN: 978-1-4612-9572-3Published: 26 September 2011

  • eBook ISBN: 978-1-4612-5118-7Published: 06 December 2012

  • Series ISSN: 0172-603X

  • Series E-ISSN: 2512-5486

  • Edition Number: 1

  • Number of Pages: XVI, 155

  • Topics: Numerical Analysis

  • Industry Sectors: Energy, Utilities & Environment, IT & Software

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