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Flows over time with load-dependent transit times
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Source Symposium on Discrete Algorithms archive
Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
San Francisco, California
Pages: 174 - 183  
Year of Publication: 2002
ISBN:0-89871-513-X
Authors
Ekkehard Köhler  Technische Universität Berlin, Fakultät II --- Mathematik und Naturwissenschaften, Institut für Mathematik, Sekr. MA 6-1, Straße des 17. Juni 136, D - 10623 Berlin, Germany
Martin Skutella  Technische Universität Berlin, Fakultät II --- Mathematik und Naturwissenschaften, Institut für Mathematik, Sekr. MA 6-1, Straße des 17. Juni 136, D - 10623 Berlin, Germany
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 47,   Citation Count: 2
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ABSTRACT

About forty years ago, Ford and Fulkerson studied maximum 'dynamic' s-t-flows in networks with fixed transit times on the edges and a fixed time horizon. They showed that there always exists an optimal solution which sends flow on certain s-t-paths at a constant rate as long as there is enough time left for the flow along a path to arrive at the sink.Although this result does not hold for the more general setting of flows over time with load-dependent transit times on the edges, we prove that there always exists a provably good solution of this structure. Moreover, such a solution can be determined very efficiently by only one minimum convex cost flow computation on the underlying 'static' network. Finally, we show that the time-dependent flow problem under consideration is NP-hard and even cannot be approximated with arbitrary precision in polynomial time, unless P=NP.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Ekkehard Köhler: colleagues
Martin Skutella: colleagues