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arXiv 2011.08049math.COcs.DM
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稠密图亏格的高效多项式时间近似方案

Efficient polynomial-time approximation scheme for the genus of dense graphs

Yifan Jing, Bojan Mohar

AI总结:

本文为稠密图的亏格及不可定向亏格提出高效多项式时间近似方案(EPTAS)及随机近似方案(EPRAS),能在近线性时间内输出任意接近1的近似最小亏格及其嵌入。

摘要:

本文的主要结果为近似稠密图的亏格(及不可定向亏格)提供了一个高效多项式时间近似方案(EPTAS)。稠密是指对于某个固定的 $α>0$,满足 $|E(G)|\ge α|V(G)|^2$。虽然对此类图而言常数因子近似是平凡的,但因子任意接近1的近似需要复杂的算法和繁琐的数学证明。更准确地说,我们提供了一种算法,对于给定的阶为 $n$ 的(稠密)图 $G$ 和给定的 $\varepsilon>0$,返回一个整数 $g$,使得 $G$ 具有亏格为 $g$ 的曲面嵌入,并且这在 $\varepsilon$-接近的意义下是最小亏格嵌入,即 $G$ 的最小亏格 $\mathsf{g}(G)$ 满足:$\mathsf{g}(G)\le g\le (1+\varepsilon)\mathsf{g}(G)$。算法运行时间为 $O(f(\varepsilon)\\,n^2)$,其中 $f(\cdot)$ 是显式函数。接着,我们扩展该算法以输出亏格为 $g$ 的嵌入(旋转系统)。这第二种算法是高效多项式时间随机近似方案(EPRAS),运行时间为 $O(f_1(\varepsilon)\\,n^2)$。

英文摘要:

The main results of this paper provide an Efficient Polynomial-Time Approximation Scheme (EPTAS) for approximating the genus (and non-orientable genus) of dense graphs. By dense we mean that $|E(G)|\ge α|V(G)|^2$ for some fixed $α>0$. While a constant factor approximation is trivial for this class of graphs, approximations with factor arbitrarily close to 1 need a sophisticated algorithm and complicated mathematical justification. More precisely, we provide an algorithm that for a given (dense) graph $G$ of order $n$ and given $\varepsilon>0$, returns an integer $g$ such that $G$ has an embedding into a surface of genus $g$, and this is $\varepsilon$-close to a minimum genus embedding in the sense that the minimum genus $\mathsf{g}(G)$ of $G$ satisfies: $\mathsf{g}(G)\le g\le (1+\varepsilon)\mathsf{g}(G)$. The running time of the algorithm is $O(f(\varepsilon)\,n^2)$, where $f(\cdot)$ is an explicit function. Next, we extend this algorithm to also output an embedding (rotation system) whose genus is $g$. This second algorithm is an Efficient Polynomial-time Randomized Approximation Scheme (EPRAS) and runs in time $O(f_1(\varepsilon)\,n^2)$.

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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