Abstract
The simplex special ordered network (SON) algorithm is a partitioning method for solving LP problems with embedded network structure. The algorithm derives from a theoretical characterization of the network topology of the basis embodied in a specially constructed master basis tree. In this paper we show that the topology of the master basis tree and the rules by which it can admissibly be restructured can be characterized by seven mutually exclusive and collectively exhaustive basis exchange cases. Further, these seven cases will always keep the network portion of the basis at its maximum dimension.
This research was supported in part by the U.S. Department of Transportation contract DOT-TX-06-0040, by the Office of Naval Research contract N00014-78-C-0222, by the Center for Business Decision Analysis, The University of Texas at Austin and by the David Bruton Jr. Centennial Chair in Business Decision Support Systems. Reproduction in whole or in part is permitted for any purpose of the U.S. Government.
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References
A. Ali, R. Helgason, J. Kennington and H. Lall, “Computational comparison among three multicommodity network flow algorithms”, to appear in Operations Research.
M.D. Bakes, “Solution for special linear programming problems with additional constraints”, Operations Research Quarterly 17 (1966) 425–445.
J.M. Bennett, “An approach to some structure linear programming problems”, Operations Research 14 (1966) 636–645.
A. Charnes and W. Cooper, Management models and industrial applications of linear programming, Vols. I and II (Wiley, New York, 1961).
G.B. Dantzig, “Upper bounds, second constraints, and block triangularity in linear programming”, Econometrica 23 (1955) 174–183.
G.B. Dantzig and R.M. Van Slyke, “Generalized upper bounding techniques”, Journal of Computer and System Science 1 (1967) 213–226.
F. Glover and D. Klingman, “The simplex SON method for LP/embedded network problems”, Mathematical Programming Study 15 (1981) 148–176.
F. Glover, D. Karney, D. Klingman and R. Russell, “Solving singly constrained transshipment problems”, Transportation Science 12 (1978) 277–297.
G.W. Graves and R.D. McBride, “The factorization approach to large-scale linear programming”, Mathematical Programming 10 (1976) 91–110.
M.D. Grigoriadis and K. Ritter, “A decomposition method for structured linear and nonlinear programs”, Journal of Computer and System Science 3 (1969) 335–360.
J.K. Hartman and L.S. Lasdon, “A generalized upper bounding method for doubly coupled linear programs”, Naval Research Logistics Quarterly 17 (1970) 411–429.
J.K. Hartman and L.S. Lasdon, “A generalized upper bounding algorithm for multicommodity network flow problems”, Networks 1 (1972) 333–354.
A.R.G. Heesterman, “Special simplex algorithm for multisector problems”, Numerische Mathematik 12 (1968) 288–306.
R. Helgason and J. Kennington, “A product form representation of the inverse of a multicommodity cycle matrix”, Networks 7 (1977), 297–322.
R. Helgason and J. Kennington, Algorithms for network programming (Wiley, New York, 1980).
J. Hultz and D. Klingman, “Solving singularly constrained generalized network problems”, Applied Mathematics and Optimization 4 (1978) 103–119.
J. Hultz and D. Klingman, “Solving constrained generalized network problems”, Research Report CCS 257, Center for Cybernetic Studies, The University of Texas at Austin (1976).
R.N. Kaul, “An extension of generalized upper bounded techniques for linear programming”, ORC 65-27, University of California, Berkeley (1965).
D. Klingman and R. Russell, “On solving constrained transportation problems”, Operations Research 23 (1975) 91–107.
S.F. Maier, “A compact inverse scheme applied to a multicommodity network with resource constraints”, Technical Report No. 71-78, Operations Research House, Stanford University (1971).
R.D. McBride, “Solving network problems with proportional constraints”, presented at the 1982 ORSA/TIMS Joint National Meeting, San Diego, CA, October 1982.
R. Saigal, “Multicommodity flows in directed networks”, ORC Report 66-24, Operations Research Center, University of California, Berkeley (1966).
D.W. Webber and W.W. White, “An algorithm for solving large structured linear programming problems”, IBM New York Scientific Center Report No. 320-2946 (1968).
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Dedicated to George B. Dantzig on the occasion of his seventieth birthday.
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© 1985 The Mathematical Programming Society, Inc.
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Glover, F., Klingman, D. (1985). Basis exchange characterizations for the simplex son algorithm for LP/embedded networks. In: Cottle, R.W. (eds) Mathematical Programming Essays in Honor of George B. Dantzig Part I. Mathematical Programming Studies, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0121048
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DOI: https://doi.org/10.1007/BFb0121048
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