Skip to main content
Log in

Computational results on an algorithm for finding all vertices of a polytope

  • Published:
Mathematical Programming Submit manuscript

Abstract

This paper provides answers to several questions raised by V. Klee regarding the efficacy of Mattheiss' algorithm for finding all vertices of convex polytopes. Several results relating to the expected properties of polytopes are given which indicate thatn-polytopes defined by “large” numbers of constraints are difficult to obtain by random processes, the expected value of the number of vertices of polytope is considerably less than Klee's least upper bound the expected performance of Mattheiss' algorithm is far better than Klee's upper bound would suggest.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. B. Grunbaum,Convex polytopes (John Wiley, New York, 1967).

    Google Scholar 

  2. V. Klee, “Polytope pairs and their relationship to linear programming”,Acta Mathematica CXXXIII (1974) 1–25.

    Google Scholar 

  3. T.M. Liebling, “On the number of iterations of the simplex method”, in: X. Henn, X. Kunzi and X. Schubert, eds.,Methods of Operations Research, XVII, Sounderdruck (August 1972) pp. 264–284.

  4. T.H. Mattheiss, “An algorithm for determining irrelevant constraints and all vertices in systems of linear inequalities”,Operations Research XXI (1973) 247–260.

    Google Scholar 

  5. T.H. Mattheiss and D.S. Rubin, “A survey and comparison of methods for finding all vertices of convex polyhedral sets”, Technical Report No. 77-14, Department of Operations Research and Systems and Systems Analysis, University of North Carolina at Chapel Hill (Chapel Hill, NC, November 1977).

    Google Scholar 

  6. B.K. Schmidt and T.H. Mattheiss, “The probability that a random polytope is bounded”,Mathematics of Operations Research 2 (3) (August 1977).

  7. K. Schmidt, Personal correspondence (1977).

  8. W.M. Schmidt, “Some results in probabilistic geometry”,Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 9 (1968) 158–162.

    Google Scholar 

  9. R. Sulanke and P. Wintgen, “Zufallige konvexe Polyeder imn-dimensionalen euklidischen Raum”,Periodica Mathematica Hungaria 2 (1972) 215–221.

    Google Scholar 

  10. H.M. Wagner,Principals of operations research, Second edition (Prentice—Hall, Englewood Cliffs, N.J. 1971).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mattheiss, T.H., Schmidt, B.K. Computational results on an algorithm for finding all vertices of a polytope. Mathematical Programming 18, 308–329 (1980). https://doi.org/10.1007/BF01588326

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01588326

Key words

Navigation