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An LMP O(log n)-Approximation Algorithm for Node Weighted Prize Collecting Steiner Tree

机译:节点加权奖池斯坦纳树的LMP O(log n)逼近算法

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In the node-weighted prize-collecting Steiner tree problem we are given an undirected graph G=(V, E), non-negative costs c(v) and penalties π(v) for each v in V. The goal is to find a tree T that minimizes the total cost of the vertices spanned by T plus the total penalty of vertices not in T. This problem is well-known to be set-cover hard to approximate. Moss and Rabani (STOC'01) presented a primal-dual Lagrange an-multiplier-preserving Õ(ln |V|)-approximation algorithm for this problem. We show a serious problem with the algorithm, and present a new, fundamentally different primal-dual method achieving the same performance guarantee. Our algorithm introduces several novel features to the primal-dual method that may be of independent interest.
机译:在节点加权奖品斯坦纳树问题中,我们得到无向图G =(V,E),非负成本c(v)和V中每个v的罚款π(v)。目标是找到最小化由T覆盖的顶点的总成本加上不在T中的顶点的总惩罚的树T。众所周知,这个问题很难解决。 Moss和Rabani(STOC'01)提出了一个原始对偶Lagrange保倍数Õ(ln | V |)逼近算法。我们展示了该算法的一个严重问题,并提出了一种新的,根本不同的原始对偶方法来实现相同的性能保证。我们的算法向原始对偶方法引入了一些可能具有独立利益的新颖特征。

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