Flexible network design deals with building a network that guarantees some connectivity requirements between its vertices, even when some of its elements (like vertices or edges) fail. In particular, the set of edges (resp. vertices) of a given graph are here partitioned into safe and unsafe. The goal is to identify a minimum size subgraph that is 2-edge-connected (resp. 2-vertex-connected), and stay so whenever any of the unsafe elements gets removed. In this paper, we provide improved approximation algorithms for flexible network design problems, considering both edge-connectivity and vertex-connectivity, as well as connectivity values higher than 2. For the vertex-connectivity variant, in particular, our algorithm is the first with approximation factor strictly better than 2.
@InProceedings{hyattdenesik_et_al:LIPIcs.ESA.2024.74, author = {Hyatt-Denesik, Dylan and Jabal-Ameli, Afrouz and Sanit\`{a}, Laura}, title = {{Improved Approximations for Flexible Network Design}}, booktitle = {32nd Annual European Symposium on Algorithms (ESA 2024)}, pages = {74:1--74:14}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-338-6}, ISSN = {1868-8969}, year = {2024}, volume = {308}, editor = {Chan, Timothy and Fischer, Johannes and Iacono, John and Herman, Grzegorz}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2024.74}, URN = {urn:nbn:de:0030-drops-211456}, doi = {10.4230/LIPIcs.ESA.2024.74}, annote = {Keywords: Approximation Algorithms, Network Design, Flexible Connectivity} }
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