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Algebraic Methods for Stochastic Minimum Cut and Maximum Flow Problems

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Network Optimization (INOC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 6701))

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Abstract

We present an algebraic approach for computing the distribution of the capacity of a minimum s-t cut in a network, in which the arc capacities have known (discrete) probability distributions. Algorithms are developed to determine the exact distribution as well as upper and lower bounding distributions on the capacity of a minimum cut. This approach then provides exact and bounding distributions on the maximum flow in such stochastic networks. We also obtain bounds on the expected capacity of a minimum cut (and the expected maximum flow value).

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Hastings, K.C., Shier, D.R. (2011). Algebraic Methods for Stochastic Minimum Cut and Maximum Flow Problems. In: Pahl, J., Reiners, T., Voß, S. (eds) Network Optimization. INOC 2011. Lecture Notes in Computer Science, vol 6701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21527-8_35

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  • DOI: https://doi.org/10.1007/978-3-642-21527-8_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21526-1

  • Online ISBN: 978-3-642-21527-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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