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Online Node- and Edge-Deletion Problems with Advice

机译:在线节点和边缘删除问题与建议

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In online edge- and node-deletion problems the input arrives node by node and an algorithm has to delete nodes or edges in order to keep the input graph in a given graph class Pi at all times. We consider only hereditary properties Pi, for which optimal online algorithms exist and which can be characterized by a set of forbidden subgraphs F and analyze the advice complexity of getting an optimal solution. We give almost tight bounds on the DELAYED CONNECTED F-NODE-DELETION PROBLEM, where all graphs of the family F have to be connected and almost tight lower and upper bounds for the DELAYED H-NODE-DELETION PROBLEM, where there is one forbidden induced subgraph H that may be connected or not. For the DELAYED H-NODE-DELETION PROBLEM the advice complexity is basically an easy function of the size of the biggest component in H. Additionally, we give tight bounds on the Delayed Connected F-Edge-Deletion Problem, where we have an arbitrary number of forbidden connected graphs. For the latter result we present an algorithm that computes the advice complexity directly from F. We give a separate analysis for the Delayed Connected H-Edge-Deletion Problem, which is less general but admits a bound that is easier to compute.
机译:在在线边缘和节点删除问题中,输入到达节点的节点,并且算法必须删除节点或边缘,以便在给定的图形类PI中始终保持输入图。我们仅考虑遗传性质PI,其存在最佳的在线算法,并且可以通过一组禁止的子图F表征,并分析获得最佳解决方案的建议复杂性。我们在延迟连接的F节点删除问题上给出了几乎紧张的界限,其中family f的所有图都必须连接且几乎紧密的下限和上限为延迟的h节点删除问题,其中有一个禁止的诱导可以连接的子图H.对于延迟的H-Node-删除问题,建议复杂性基本上是H中最大组件大小的简单功能。此外,我们在延迟连接的F-Edge-删除问题上给出紧张的界限,我们有一个任意数字禁止的连接图。对于后一个结果,我们提出了一种算法,该算法直接从F计算建议复杂性。我们为延迟连接的H-Edge删除问题提供了单独的分析,这少一般但承认更容易计算的绑定。

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