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Extreme Points and Purification Algorithms in General Linear Programming

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 259))

Abstract

In this paper, the problem of moving between extreme points in an abstract linear program is investigated. Certain algebraic characterizations of extreme points are discussed, and a purification algorithm is suggested for finding improved extreme points. The method is shown to be applicable to a family of linear programs including semi-infinite and separably-infinite problems. The relevance of the method to recent work on a primal semi-infinite simplex-type algorithm is discussed, and a procedure for constructing an initial feasible solution for such problems is presented.

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References

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© 1985 Springer-Verlag Berlin Heidelberg

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Lewis, A.S. (1985). Extreme Points and Purification Algorithms in General Linear Programming. In: Anderson, E.J., Philpott, A.B. (eds) Infinite Programming. Lecture Notes in Economics and Mathematical Systems, vol 259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46564-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-46564-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-15996-4

  • Online ISBN: 978-3-642-46564-2

  • eBook Packages: Springer Book Archive

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