{"title":"The Parameterized Complexity of Terminal Monitoring Set","authors":"N. R. Aravind, Roopam Saxena","doi":"arxiv-2406.01730","DOIUrl":null,"url":null,"abstract":"In Terminal Monitoring Set (TMS), the input is an undirected graph $G=(V,E)$,\ntogether with a collection $T$ of terminal pairs and the goal is to find a\nsubset $S$ of minimum size that hits a shortest path between every pair of\nterminals. We show that this problem is W[2]-hard with respect to solution\nsize. On the positive side, we show that TMS is fixed parameter tractable with\nrespect to solution size plus distance to cluster, solution size plus\nneighborhood diversity, and feedback edge number. For the weighted version of\nthe problem, we obtain a FPT algorithm with respect to vertex cover number, and\nfor a relaxed version of the problem, we show that it is W[1]-hard with respect\nto solution size plus feedback vertex number.","PeriodicalId":501216,"journal":{"name":"arXiv - CS - Discrete Mathematics","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Discrete Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.01730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In Terminal Monitoring Set (TMS), the input is an undirected graph $G=(V,E)$,
together with a collection $T$ of terminal pairs and the goal is to find a
subset $S$ of minimum size that hits a shortest path between every pair of
terminals. We show that this problem is W[2]-hard with respect to solution
size. On the positive side, we show that TMS is fixed parameter tractable with
respect to solution size plus distance to cluster, solution size plus
neighborhood diversity, and feedback edge number. For the weighted version of
the problem, we obtain a FPT algorithm with respect to vertex cover number, and
for a relaxed version of the problem, we show that it is W[1]-hard with respect
to solution size plus feedback vertex number.