License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2020.55
URN: urn:nbn:de:0030-drops-129214
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12921/
Garg, Naveen ;
Kumar, Nikhil
Dual Half-Integrality for Uncrossable Cut Cover and Its Application to Maximum Half-Integral Flow
Abstract
Given an edge weighted graph and a forest F, the 2-edge connectivity augmentation problem is to pick a minimum weighted set of edges, E', such that every connected component of E' ∪ F is 2-edge connected. Williamson et al. gave a 2-approximation algorithm (WGMV) for this problem using the primal-dual schema. We show that when edge weights are integral, the WGMV procedure can be modified to obtain a half-integral dual. The 2-edge connectivity augmentation problem has an interesting connection to routing flow in graphs where the union of supply and demand is planar. The half-integrality of the dual leads to a tight 2-approximate max-half-integral-flow min-multicut theorem.
BibTeX - Entry
@InProceedings{garg_et_al:LIPIcs:2020:12921,
author = {Naveen Garg and Nikhil Kumar},
title = {{Dual Half-Integrality for Uncrossable Cut Cover and Its Application to Maximum Half-Integral Flow}},
booktitle = {28th Annual European Symposium on Algorithms (ESA 2020)},
pages = {55:1--55:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-162-7},
ISSN = {1868-8969},
year = {2020},
volume = {173},
editor = {Fabrizio Grandoni and Grzegorz Herman and Peter Sanders},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/12921},
URN = {urn:nbn:de:0030-drops-129214},
doi = {10.4230/LIPIcs.ESA.2020.55},
annote = {Keywords: Combinatorial Optimization, Multicommodity Flow, Network Design}
}
Keywords: |
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Combinatorial Optimization, Multicommodity Flow, Network Design |
Collection: |
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28th Annual European Symposium on Algorithms (ESA 2020) |
Issue Date: |
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2020 |
Date of publication: |
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26.08.2020 |