Advertisement

Guaranteed Accuracy in Numerical Linear Algebra

  • S. K. Godunov
  • A. G. Antonov
  • O. P. Kiriljuk
  • V. I. Kostin

Part of the Mathematics and Its Applications book series (MAIA, volume 252)

Table of contents

  1. Front Matter
    Pages i-xi
  2. S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
    Pages 1-108
  3. S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
    Pages 109-214
  4. S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
    Pages 215-312
  5. S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
    Pages 313-423
  6. S. K. Godunov, A. G. Antonov, O. P. Kiriljuk, V. I. Kostin
    Pages 425-522
  7. Back Matter
    Pages 523-537

About this book

Introduction

There exists a vast literature on numerical methods of linear algebra. In our bibliography list, which is by far not complete, we included some monographs on the subject [46], [15], [32], [39], [11], [21]. The present book is devoted to the theory of algorithms for a single problem of linear algebra, namely, for the problem of solving systems of linear equations with non-full-rank matrix of coefficients. The solution of this problem splits into many steps, the detailed discussion of which are interest­ ing problems on their own (bidiagonalization of matrices, computation of singular values and eigenvalues, procedures of deflation of singular values, etc. ). Moreover, the theory of algorithms for solutions of the symmetric eigenvalues problem is closely related to the theory of solv­ ing linear systems (Householder's algorithms of bidiagonalization and tridiagonalization, eigenvalues and singular values, etc. ). It should be stressed that in this book we discuss algorithms which to computer programs having the virtue that the accuracy of com­ lead putations is guaranteed. As far as the final program product is con­ cerned, this means that the user always finds an unambiguous solution of his problem. This solution might be of two kinds: 1. Solution of the problem with an estimate of errors, where abso­ lutely all errors of input data and machine round-offs are taken into account. 2.

Keywords

Eigenvalue Eigenvector Matrix algebra algorithms computer linear algebra numerical methods

Authors and affiliations

  • S. K. Godunov
    • 1
  • A. G. Antonov
    • 1
  • O. P. Kiriljuk
    • 1
  • V. I. Kostin
    • 1
  1. 1.Institute of MathematicsNovosibirskSiberia

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-1952-8
  • Copyright Information Springer Science+Business Media B.V. 1993
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-4863-7
  • Online ISBN 978-94-011-1952-8
  • Buy this book on publisher's site
Industry Sectors
Electronics
IT & Software
Telecommunications
Aerospace
Engineering