On a Linear Program for Minimum-Weight Triangulation

A. Yousefi, N. Young
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引用次数: 5

Abstract

Minimum-weight triangulation (MWT) is NP-hard. It has a polynomial-time constant-factor approximation algorithm, and a variety of effective polynomial-time heuristics that, for many instances, can find the exact MWT. Linear programs (LPs) for MWT are well-studied, but previously no connection was known between any LP and any approximation algorithm or heuristic for MWT. Here we show the first such connections: for an LP formulation due to Dantzig et al. (1985): (i) the integrality gap is bounded by a constant; (ii) given any instance, if the aforementioned heuristics find the MWT, then so does the LP.
最小权值三角剖分的线性规划
最小重量三角测量(MWT)是np困难的。它有一个多项式时间的常因子逼近算法,以及各种有效的多项式时间启发式算法,在许多情况下,可以找到精确的MWT。对于MWT的线性规划(LP)已经有了很好的研究,但是以前没有发现任何LP与MWT的近似算法或启发式算法之间的联系。在这里,我们展示了第一个这样的联系:对于Dantzig等人(1985)的LP公式:(i)完整性间隙由常数限定;(ii)给定任何实例,如果前面提到的启发式方法找到了MWT,那么LP也能找到。
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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