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arXiv cs/0501045cs.CGcs.DS
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几何集合覆盖的改进近似算法

Improved Approximation Algorithms for Geometric Set Cover

Kenneth L. Clarkson, Kasturi Varadarajan

摘要:

给定某个集合U的子集的集合S,M是U的子集,集合覆盖问题是找到S的最小子集C,使得M是C中集合的并集的子集。虽然一般的问题是NP-难解决的,甚至近似,在这里我们考虑一些几何特殊情况,其中通常U = R^d。扩展以前的结果,我们证明了近似算法的可证明的性能存在,在一定的一般条件下:S和函数f()的随机子集R,有一个分解的部分U不覆盖R到一个预期的f(|R|)区域,每个区域的一个特定的简单形式。我们证明了在这种条件下,可以找到一个覆盖的大小为O(f(|C|))。我们得到了R^3中单位立方体覆盖、一维地形保护和R^2中相似大小的胖三角形覆盖的常数因子近似算法。我们还获得了改进的近似保证脂肪三角形,任意大小,和一类脂肪对象。

英文摘要:

Given a collection S of subsets of some set U, and M a subset of U, the set cover problem is to find the smallest subcollection C of S such that M is a subset of the union of the sets in C. While the general problem is NP-hard to solve, even approximately, here we consider some geometric special cases, where usually U = R^d. Extending prior results, we show that approximation algorithms with provable performance exist, under a certain general condition: that for a random subset R of S and function f(), there is a decomposition of the portion of U not covered by R into an expected f(|R|) regions, each region of a particular simple form. We show that under this condition, a cover of size O(f(|C|)) can be found. Our proof involves the generalization of shallow cuttings to more general geometric situations. We obtain constant-factor approximation algorithms for covering by unit cubes in R^3, for guarding a one-dimensional terrain, and for covering by similar-sized fat triangles in R^2. We also obtain improved approximation guarantees for fat triangles, of arbitrary size, and for a class of fat objects.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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