Numerische Mathematik

, Volume 26, Issue 2, pp 179–189 | Cite as

Discrete, linear approximation problems in polyhedral norms

  • D. H. Anderson
  • M. R. Osborne
Article

Summary

We introduce a class of polyhedral norms and study discrete linear approximation problems under these norms. It is possible to give a uniform treatment, in particular, ofL1 and maximum norm problems, at least as regards notation; and we develop a general exchange algorithm in which we permit also linear inequality constraints.

Keywords

Mathematical Method Linear Approximation Approximation Problem Inequality Constraint Maximum Norm 
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References

  1. 1.
    Anderson, D. H.: Linear Programming and the Calculation of Maximum Norm Approximations. Ph. D. Thesis, Australian National University, 1975Google Scholar
  2. 2.
    Cheney, E. W.: Introduction to Approximation Theory. New York: McGraw-Hill 1966Google Scholar
  3. 3.
    Gill, P. E., Golub, G. H., Murray, W., Saunders, M. A.: Methods for modifying matrix factorizations. Stanford University Computer Science Department Report STAN-CS-72-322, (1972)Google Scholar
  4. 4.
    Householder, A. S.: The Theory of Matrices in Numerical Analysis. Massachusetts: Blaisdell 1964Google Scholar
  5. 5.
    Madsen, K.: An algorithm for minimax solution of overdetermined systems of nonlinear equations. U. K. AEA Research Report, TP559 (1973)Google Scholar
  6. 6.
    Osborne, M. R., Watson, G. A.: On an algorithm for nonlinearL 1 approximation. Computer J.14, 184–188 (1971)Google Scholar
  7. 7.
    Osborne, M. R., Watson, G. A.: On the best linear Chebyshev approximation. Computer J.10, 172–177 (1967)Google Scholar
  8. 8.
    Stiefel, E. L.: Über diskrete und lineare Tschebyscheff-Approximationen. Numer. Math.1, 1–28 (1959)Google Scholar
  9. 9.
    Stiefel, E. L.: Note on Jordan elimination, linear programming, and Tschebyscheff approximation. Numer. Math.2, 1–17 (1960)Google Scholar
  10. 10.
    Watson, G. A.: The calculation of best restricted approximations. SIAM J. Numer. Anal.11, 693–699 (1974)Google Scholar

Copyright information

© Springer-Verlag 1976

Authors and Affiliations

  • D. H. Anderson
    • 1
  • M. R. Osborne
    • 2
  1. 1.Mathematics DepartmentMelbourne UniversityMelbourneAustralia
  2. 2.Computer CentreAustralian National UniversityCanberraAustralia

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