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Compression with wildcards: All induced subgraphs that are (respectively) connected, chordal, bipartite, or forests
Various algorithms have been proposed to enumerate all connected induced subgraphs of a graph \(G=(V,E)\). As a variation we enumerate all "conn-partitions", i.e. partitions \(\Pi\) of \(V\) with the property that each part of \(\Pi\) induces a connected subgraph. In another vein, we enume...
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Published in: | arXiv.org 2024-12 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Various algorithms have been proposed to enumerate all connected induced subgraphs of a graph \(G=(V,E)\). As a variation we enumerate all "conn-partitions", i.e. partitions \(\Pi\) of \(V\) with the property that each part of \(\Pi\) induces a connected subgraph. In another vein, we enumerate all \(X\subseteq V\) which induce a subgraph that is (respectively) chordal, bipartite, or a forest. Mentioned four algorithms, and two more, run in ouput-polynomial time (and deliver their fare in compressed fashion). Along the way we give fresh and short proofs of well-known facts about bipartite graphs and chordless cycles respectively. |
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ISSN: | 2331-8422 |