A classical branch of graph algorithms is graph transversals, where one seeks <a minimum-weight subset of nodes in a node-weighted graph $G$ which intersects all copies of subgraphs $F$ from a fixed family $\mathcal F$. Many such graph transversal problems have been shown to admit polynomial-time approximation schemes (PTAS) for planar input graphs $G$, using a variety of techniques like the shifting technique (Baker, J. ACM 1994), bidimensionality (Fomin et al., SODA 2011), or connectivity domination (Cohen-Addad et al., STOC 2016). These techniques do not seem to apply to graph transversals with parity constraints, which have recently received significant attention, but for which no PTASs are known. In the even-cycle transversal (ECT) problem, the goal is to find a minimum-weight hitting set for the set of even cycles in an undirected graph. For ECT, Fiorini et al. (IPCO 2010) showed that the integrality gap of the standard covering LP relaxation is $\Theta(\log n)$, and that adding sparsity inequalities reduces the integrality gap to~10.
翻译:典型的图表算法分支是图横贯图,其中人们寻求在节点加权图$G$中 < 最小重量的节点子子子集,将所有子集从固定的家族$\mathcal F$交叉开来。许多这样的图表横跨问题被显示为对平面输入图$G$(Baker, J. ACM 1994)、双维(Fomn et al, SODA 2011)或连通支配(Cohen-Addad et al., STOC 2016)等各种技术(Cohen-Addad et al.,STOC 2016)。这些技术似乎并不适用于具有等值限制的图透镜,这些限制最近受到极大关注,但没有人知道PTAS。在平面输入图的双周期(CT)问题中,目标是在非方向图中找到一套甚至循环的最小重量的打击。对于ECT、Fiorini et al. (IPCO 2010) 显示,包含LP\ 缩缩缩度的标准的整体差距缩小至 $10。