Skip to main content

Implicit representation of variable upper bounds in linear programming

  • Chapter
  • First Online:
Computational Practice in Mathematical Programming

Part of the book series: Mathematical Programming Studies ((MATHPROGRAMM,volume 4))

Abstract

A method is developed for implicitly representing constraints of the form x≤y in linear programs when the variable y may appear in any number of such constraints. Variable x is said to have a variable upper bound (VUB). VUB constraints are common in a number of LP formulations, especially those derived from tightly formulated fixed charge integer programs. For certain of these problems the major portion of the constraints are of the VUB type. Computational experience with the method applied to problems in linear regression, plant location, and production scheduling is presented.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. G.B. Dantzig, Linear programming and extensions (Princeton, University Press, 1973).

    Google Scholar 

  2. A.J. Duncan, Quality control and industrial statistics (Irwin, Homewood, Ill., 1959) (revised Ed.).

    Google Scholar 

  3. C. Duguay, M. Todd and H.M. Wagner, “Linear programming with relative bounded variables”, Management Science 19 (1973) 751–759.

    MATH  MathSciNet  Google Scholar 

  4. A.M. Geoffrion, “Lagrangean relaxation for integer programming”, Mathematical Programming Study 2 (1974) 82–114.

    MathSciNet  Google Scholar 

  5. F. Glover and A. Woolsey, “Converting the 0–1 polynomial programming problem to a 0–1 linear program”, Operations Research 22 (1974) 180–182.

    Article  MATH  Google Scholar 

  6. W.G. Graves and R.D. McBride, “The factorization approach to large-scale linear programming”, Working paper, Graduate School of Management, UCLA (August 1973).

    Google Scholar 

  7. R.L. Karg and G.L. Thompson, “A heuristic approach to solving travelling salesman problems”, Management Science 10 (1964) 225–248.

    Article  Google Scholar 

  8. R.N. Kaul, “An extension of generalized upper bounding techniques for linear programming”, Rept. ORC 65-27, University of California, Berkeley, Calif. (1965).

    Google Scholar 

  9. B.M. Khumawala, “An efficient heuristic procedure for the uncapacitated warehouse location problem”, Naval Research Logistics Quarterly 20 (1973) 109–121.

    Article  Google Scholar 

  10. L.S. Lasdon, Optimization theory for large scale systems (Macmillan, New York, 1970).

    Google Scholar 

  11. R.E. Marsten, “An algorithm for finding almost all of the medians of a network”, Discussion Paper 23, Center for Mathematical Studies in Economics and Management Science, Northwestern University (November, 1972).

    Google Scholar 

  12. G. Martin, “On the fly linear programming: production scheduling with setup effects”, Tech. Rept., Control Data Corp., New York (1973).

    Google Scholar 

  13. A.W. Neebe, “The m-center and m-median facility location problems”, Ph. D. dissertation, University of Rochester (1974).

    Google Scholar 

  14. C.S. Revelle and R.W. Swain, “Central facilities location”, Geographical Analysis 2 (1970) 30–42.

    Google Scholar 

  15. H.M. Wagner and T.M. Whitin, “Dynamic version of the economic lot size model”, Management Science 5 (1958).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

M. L. Balinski Eli Hellerman

Rights and permissions

Reprints and permissions

Copyright information

© 1975 The Mathematical Programming Society

About this chapter

Cite this chapter

Schrage, L. (1975). Implicit representation of variable upper bounds in linear programming. In: Balinski, M.L., Hellerman, E. (eds) Computational Practice in Mathematical Programming. Mathematical Programming Studies, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0120715

Download citation

  • DOI: https://doi.org/10.1007/BFb0120715

  • Received:

  • Revised:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00765-1

  • Online ISBN: 978-3-642-00766-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics