Treffer: Isolating Cuts, (Bi-)Submodularity, and Faster Algorithms for Connectivity

Title:
Isolating Cuts, (Bi-)Submodularity, and Faster Algorithms for Connectivity
Contributors:
Chandra Chekuri and Kent Quanrud
Publisher Information:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Publication Year:
2021
Collection:
DROPS - Dagstuhl Research Online Publication Server (Schloss Dagstuhl - Leibniz Center for Informatics )
Document Type:
Fachzeitschrift article in journal/newspaper<br />conference object
File Description:
application/pdf
Language:
English
Relation:
Is Part Of LIPIcs, Volume 198, 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021); https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2021.50
DOI:
10.4230/LIPIcs.ICALP.2021.50
Accession Number:
edsbas.B065B829
Database:
BASE

Weitere Informationen

Li and Panigrahi [Jason Li and Debmalya Panigrahi, 2020], in recent work, obtained the first deterministic algorithm for the global minimum cut of a weighted undirected graph that runs in time o(mn). They introduced an elegant and powerful technique to find isolating cuts for a terminal set in a graph via a small number of s-t minimum cut computations. In this paper we generalize their isolating cut approach to the abstract setting of symmetric bisubmodular functions (which also capture symmetric submodular functions). Our generalization to bisubmodularity is motivated by applications to element connectivity and vertex connectivity. Utilizing the general framework and other ideas we obtain significantly faster randomized algorithms for computing global (and subset) connectivity in a number of settings including hypergraphs, element connectivity and vertex connectivity in graphs, and for symmetric submodular functions.