Advice Complexity bounds for Online Delayed F-Node-, H-Node- and H-Edge-Deletion Problems

N. Berndt, Henri Lotze
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引用次数: 1

Abstract

Let F be a fixed finite obstruction set of graphs and G be a graph revealed in an online fashion, node by node. The online Delayed F-Node-Deletion Problem (F-Edge-Deletion Problem}) is to keep G free of every H in F by deleting nodes (edges) until no induced subgraph isomorphic to any graph in F can be found in G. The task is to keep the number of deletions minimal. Advice complexity is a model in which an online algorithm has access to a binary tape of infinite length, on which an oracle can encode information to increase the performance of the algorithm. We are interested in the minimum number of advice bits that are necessary and sufficient to solve a deletion problem optimally. In this work, we first give essentially tight bounds on the advice complexity of the Delayed F-Node-Deletion Problem and F-Edge-Deletion Problem where F consists of a single, arbitrary graph H. We then show that the gadget used to prove these results can be utilized to give tight bounds in the case of node deletions if F consists of either only disconnected graphs or only connected graphs. Finally, we show that the number of advice bits that is necessary and sufficient to solve the general Delayed F-Node-Deletion Problem is heavily dependent on the obstruction set F. To this end, we provide sets for which this number is either constant, logarithmic or linear in the optimal number of deletions.
在线延迟f -节点、h -节点和h -边删除问题的建议复杂度界
设F是一个固定的有限阻塞图集,G是以一个节点接一个节点的在线方式显示的图。在线延迟F- node - deletion Problem (F- edge - deletion Problem)是指通过删除节点(边)来保持G不受F中的每一个H的影响,直到在G中找不到与F中任何图同构的诱导子图,其任务是保持删除次数最小。建议复杂度是在线算法访问无限长的二进制磁带的模型,oracle可以在该磁带上编码信息以提高算法的性能。我们感兴趣的是最优解决删除问题所需且足够的最小通知位数。在这项工作中,我们首先给出延迟F-节点删除问题和F-边删除问题的建议复杂性的本质紧界,其中F由单个任意图h组成。然后我们证明了用于证明这些结果的小工具可以用来给出节点删除情况下的紧界,如果F仅由断开图或仅由连通图组成。最后,我们证明了解决一般延迟f节点删除问题所需和足够的建议比特数严重依赖于阻碍集f。为此,我们提供了在最优删除数中该数字为常数、对数或线性的集合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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