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ON-LINE MODELS AND ALGORITHMS FOR MAX INDEPENDENT SET

机译:最大独立集的在线模型和算法

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In on-line computation, the instance of the problem dealt is not entirely known from the beginning of the solution process, but it is revealed step-by-step. In this paper we deal with on-line independent set. On-line models studied until now for this problem suppose that the input graph is initially empty and revealed either vertex-by-vertex, or cluster-by-cluster. Here we present a new on-line model quite different to the ones already studied. It assumes that a superset of the final graph is initially present (in our case the complete graph on the order n of the final graph) and edges are progressively removed until the achievement of the final graph. Next, we revisit the model introduced in [Demange, Paradon and Paschos, Lect. Notes Comput. Sci. 1963 (2000) 326-334] and study relaxations assuming that some paying backtracking is allowed.
机译:在在线计算中,从解决过程的开始就无法完全了解所解决问题的实例,但是会逐步揭示出来。在本文中,我们处理在线独立集。到目前为止,针对此问题进行的在线模型研究假设输入图最初是空的,并且显示了逐顶点或逐簇。在这里,我们提出了一种新的在线模型,该模型与已经研究的模型完全不同。假定最初存在最终图的超集(在我们的情况下,最终图的n阶上的完整图),并且逐渐删除边缘,直到获得最终图。接下来,我们回顾[Demange,Paradon and Paschos,Lect。中介绍的模型。笔记计算。科学[1963(2000)326-334]并研究放宽假设允许一些付费回溯。

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