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        <datestamp>2026-09-05T20:16:34Z</datestamp>
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          <dc:title>Exploiting Spanning Trees for Directed Acyclicity</dc:title>
          <dc:creator>Khargeliia, Sergei</dc:creator>
          <dc:creator>Sagunov, Danil</dc:creator>
          <dc:subject>parameterized algorithms</dc:subject>
          <dc:subject>spanning tree</dc:subject>
          <dc:subject>above guarantee parameterizations</dc:subject>
          <dc:subject>perfect graph theorem</dc:subject>
          <dc:subject>feedback arc set</dc:subject>
          <dc:subject>maximum acyclic subgraph</dc:subject>
          <dc:description>We study the weighted case of the Maximum Acyclic Subgraph (MAS) problem, where each edge of a given directed graph has a positive weight assigned, and the task is to find a maximum-weight acyclic edge set. The famous and well-studied random ordering lower bound guarantees the existence of an acyclic set that gives at least the half of the total edge weight.&#13;
The maximum spanning tree (MaxST) guarantee, which is the weight of a maximum-weight acyclic subgraph of the underlying undirected graph of G, is another natural lower bound for the weight of an acyclic subgraph. A solution of this weight dominates the random ordering solution on instances where MaxST spans the most of the total edge weight.&#13;
Our main contribution are two parameterized algorithms that find acyclic subgraphs of total weight larger than the weight of the MaxST of G. Both our algorithms find a solution of total weight at least MaxST(G)+k, for a given integer k ≥ 0, or report that it does not exist, and  &#13;
- First of our algorithms runs in time 2^{k^𝒪(1)}⋅|ℐ|^𝒪(1) and works when all weights are integers; &#13;
- Our second algorithm handles rational weights not less than 1, and its running time is upper-bounded by n^{k^𝒪(1)}⋅|ℐ|^𝒪(1). This positive result is rather surprising since solving MAS above the random ordering lower bound is NP-hard in the same rational weights scenario, when k = 1.  &#13;
Our findings unravel intricate connections between structure of MaxSTs and directed cycles, use perfect graph theorem to tackle rational weights, and raise graph-theoretic questions that are interesting on their own. Of another importance, this is one of the few examples of positive "above guarantee" results for a weighted problem on directed graphs, especially for rational weights.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sergei Khargeliia and Danil Sagunov</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 388, 34th Annual European Symposium on Algorithms (ESA 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2026.118</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-272540</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2026.118</dc:identifier>
          <dc:language>eng</dc:language>
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