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タイトル
和文: 
英文:Improved Approximation Algorithms for Firefighter Problem on Trees 
著者
和文: IWAIKAWA Yutaka, KAMIYAMA Naoyuki, 松井知己.  
英文: IWAIKAWA Yutaka, KAMIYAMA Naoyuki, MATSUI Tomomi.  
言語 English 
掲載誌/書名
和文: 
英文:IEICE Transactions on Information and Systems 
巻, 号, ページ Vol. 94    No. 2    pp. 196-199
出版年月 2013年8月 
出版者
和文: 
英文:The Institute of Electronics, Information and Communication Engineers 
会議名称
和文: 
英文: 
開催地
和文: 
英文: 
アブストラクト The firefighter problem is used to model the spread of fire, infectious diseases, and computer viruses. This paper deals with firefighter problem on rooted trees. It is known that the firefighter problem is NP-hard even for rooted trees of maximum degree 3. We propose techniques to improve a given approximation algorithm. First, we introduce an implicit enumeration technique. By applying the technique to existing (1-1/e)-approximation algorithm, we obtain $(1- {k-1 \\over (k-1)e + 1})$-approximation algorithm when a root has k children. In case of ternary trees, k=3 and thus the approximation ratio satisfies $(1- {k-1 \\over (k-1)e + 1})$ ≥ 0.6892, which improves the existing result 1-1/e ≥ 0.6321. Second technique is based on backward induction and improves an approximation algorithm for firefighter problem on ternary trees. If we apply the technique to existing (1-1/e)-approximation algorithm, we obtain 0.6976-approximation algorithm. Lastly, we combine the above two techniques and obtain 0.7144-approximation algorithm for firefighter problem on ternary trees.

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