Minimum Cost Adaptive Submodular Cover

Yubing Cui, V. Nagarajan
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引用次数: 2

Abstract

We consider the problem of minimum cost cover of adaptive-submodular functions, and provide a 4(ln Q+1)-approximation algorithm, where Q is the goal value. This bound is nearly the best possible as the problem does not admit any approximation ratio better than ln Q (unless P=NP). Our result is the first O(ln Q)-approximation algorithm for this problem. Previously, O(ln Q) approximation algorithms were only known assuming either independent items or unit-cost items. Furthermore, our result easily extends to the setting where one wants to simultaneously cover multiple adaptive-submodular functions: we obtain the first approximation algorithm for this generalization.
最低成本自适应子模块覆盖
考虑自适应子模函数的最小代价覆盖问题,给出了一个4(ln Q+1)逼近算法,其中Q为目标值。这个界几乎是最好的可能,因为问题不允许任何近似比ln Q更好(除非P=NP)。我们的结果是这个问题的第一个O(ln Q)逼近算法。以前,O(ln Q)近似算法仅在假设独立项目或单位成本项目时已知。此外,我们的结果很容易扩展到想要同时覆盖多个自适应子模函数的设置:我们得到了这种推广的第一个近似算法。
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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