Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10746
Title: Parameterized Algorithms for Locally Minimal Defensive Alliance
Authors: GAIKWAD, AJINKYA
MAITY, SOUMEN
Saurabh, Saket
Dept. of Mathematics
Keywords: Parameterized Complexity
FPT
Locally Minimal Defensive Alliance
2026-MAR-WEEK1
TOC-MAR-2026
2026
Issue Date: Feb-2026
Publisher: Springer Nature
Citation: Lecture Notes in Computer Science ((LNCS,volume 16448))
Abstract: A set D of vertices of a graph is a defensive alliance if, for each element of D, the majority of its neighbors are in D. We consider the notion of local minimality in this paper. A defensive alliance D is called a locally minimal defensive alliance if removing any vertex destroys the defensive alliance property, i.e., is no longer a defensive alliance [1]. Given an undirected graph and an integer , we study Locally Minimal Defensive Alliance, where the goal is to check whether G has a locally minimal defensive alliance of size at least k. This problem is known to be NP-hard, but its parameterized complexity remains open until now. We enhance our understanding of the problem from the viewpoint of parameterized complexity by showing that (1) the problem admits a fixed-parameter tractable (FPT) algorithm on general graphs when parameterized by the solution size k, and (2) we also present a subexponential algorithm on planar graphs of minimum degree at least two using the tool of bidimensionality.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10746
ISBN: 978-3-032-17800-8
978-3-032-17801-5
Appears in Collections:CONFERENCE PAPERS

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.