DocumentCode
3174736
Title
Combinatorial algorithms for the generalized circulation problem
Author
Goldberg, Andrew V. ; Plotkin, Serge A. ; Tardos, Éva
Author_Institution
Dept. of Comput. Sci., Stanford Univ., CA, USA
fYear
1988
fDate
24-26 Oct 1988
Firstpage
432
Lastpage
443
Abstract
A generalization of the maximum-flow problem is considered in which the amounts of flow entering and leaving an arc are linearly related. More precisely, if x (e ) units of flow enter an arc e , x (e )λ(e ) units arrive at the other end. For instance, nodes of the graph can correspond to different currencies, with the multipliers being the exchange rates. Conservation of flow is required at every node except a given source node. The goal is to maximize the amount of flow excess at the source. This problem is a special case of linear programming, and therefore can be solved in polynomial time. The authors present polynomial-time combinatorial algorithms for this problem. The algorithms are simple and intuitive
Keywords
graph theory; linear programming; combinatorial algorithms; generalized circulation problem; graph; linear programming; maximum-flow problem; nodes; Algorithm design and analysis; Computer science; Contracts; Costs; Exchange rates; Laboratories; Linear programming; Mathematics; Polynomials; Security;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1988., 29th Annual Symposium on
Conference_Location
White Plains, NY
Print_ISBN
0-8186-0877-3
Type
conf
DOI
10.1109/SFCS.1988.21959
Filename
21959
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