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Complexity and approximability of the happy set problem (vol 866, pg 123, 2021)
被引:0
|作者:
Asahiro, Yuichi
[1
]
Eto, Hiroshi
[2
]
Hanaka, Tesshu
[3
]
Lin, Guohui
[4
]
Miyano, Eiji
[2
]
Terabaru, Ippei
[2
]
机构:
[1] Kyushu Sangyo Univ, Fukuoka, Japan
[2] Kyushu Inst Technol, Iizuka, Japan
[3] Kyushu Univ, Fukuoka, Japan
[4] Univ Alberta, Edmonton, AB, Canada
关键词:
Happy set;
Proper interval graph;
Dynamic programming;
D O I:
10.1016/j.tcs.2023.114114
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
For a graph G = (V, E) and a subset S subset of V of vertices, a vertex is happy if all its neighbor vertices in G are contained in S. Given a connected undirected graph and an integer k, the Maximum Happy Set Problem (MaxHS) asks to find a set S of k vertices which maximizes the number of happy vertices in S (note that all happy vertices in V belong to S). We proposed an algorithm for MaxHS on proper interval graphs in Theor. Comput. Sci. 866 (2021) 123-144. However, due to a wrong observation made by the authors, it works only on proper interval graphs obeying the observation. In this corrigendum, we propose a new algorithm which runs in O(k vertical bar V vertical bar log k + vertical bar E vertical bar) time for proper interval graphs. (c) 2023 Elsevier B.V. All rights reserved.
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页数:7
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