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What and Who
Title:A Novel Dual Ascent Algorithm for Solving the Min-Cost Flow Problem
Speaker:Ruben Becker
coming from:Max-Planck-Institut für Informatik - D1
Speakers Bio:
Event Type:AG1 Mittagsseminar (own work)
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:AG Audience
Date, Time and Location
Date:Tuesday, 8 December 2015
Duration:30 Minutes
Building:E1 4
We present a novel algorithm for the min-cost flow problem that is competitive with recent third-party implementations of well-known algorithms for this problem and even outperforms them on certain realistic instances. We formally prove correctness of our algorithm and show that the worst-case running time is in O(||b||_1(m + n log n)) where b is the vector of demands. Combined with standard scaling techniques, this pseudo-polynomial bound can be made polynomial in a straightforward way. Furthermore, we evaluate our approach experimentally. Our empirical findings indeed suggest that the running time does not significantly depend on the costs and that a linear dependence on ||b||_1 is overly pessimistic.

Co-authors Maximilan Fickert and Andreas Karrenbauer

Name(s):Ruben Becker
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  • Ruben Becker, 11/23/2015 07:41 PM -- Created document.