An approximation algorithm for K-best enumeration of minimal connected edge dominating sets with cardinality constraints
K-best enumeration, which asks to output k-best solutions without duplication, is a helpful tool in data analysis for many fields. In such fields, graphs typically represent data. Thus subgraph enumeration has been paid much attention to such fields. However, k-best enumeration tends to be intractab...
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| Veröffentlicht in: | Theoretical computer science Jg. 1005; S. 114628 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
24.07.2024
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| Schlagworte: | |
| ISSN: | 0304-3975, 1879-2294 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | K-best enumeration, which asks to output k-best solutions without duplication, is a helpful tool in data analysis for many fields. In such fields, graphs typically represent data. Thus subgraph enumeration has been paid much attention to such fields. However, k-best enumeration tends to be intractable since, in many cases, finding one optimum solution is NP-hard. To overcome this difficulty, we combine k-best enumeration with a concept of enumeration algorithms called approximation enumeration algorithms. As a main result, we propose a 4-approximation algorithm for minimal connected edge dominating sets which outputs k minimal solutions with cardinality at most 4⋅OPT‾, where OPT‾ is the cardinality of a minimum solution which is not outputted by the algorithm. Our proposed algorithm runs in O(nm2Δ) delay, where n, m, Δ are the number of vertices, the number of edges, and the maximum degree of an input graph. |
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| ISSN: | 0304-3975 1879-2294 |
| DOI: | 10.1016/j.tcs.2024.114628 |