Additive Approximation Algorithms for List-Coloring Minor-Closed Class of Graphs

被引:0
作者
Kawarabayashi, Ken-ichi [1 ]
Demaine, Erik D. [2 ]
Hajiaghayi, MohammadTaghi [3 ]
机构
[1] Natl Inst Informat, Chiyoda Ku, 2-1-2 Hitotsubashi, Tokyo 1018430, Japan
[2] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
[3] AT&T Labs Res, Florham Pk, NJ 07932 USA
来源
PROCEEDINGS OF THE TWENTIETH ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS | 2009年
基金
日本学术振兴会;
关键词
EVERY PLANAR MAP; SURFACE; THEOREM; NUMBER;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
It is known that computing the list chromatic number is harder than computing the chromatic number (assuming NP not equal coNP). In fact, the problem of deciding whether a given graph is f-list-colorable for a function f : V -> {c - 1, c} for c >= 3 is Pi(p)(2)-complete. In general, it is believed that approximating list coloring is hard for dense graphs. In this paper, we are interested in sparse graphs. More specifically, we deal with nontrivial minor-closed classes of graphs, i.e., graphs excluding some K-k minor. We refine the seminal structure theorem of Robertson and Seymour, and then give an additive approximation for list-coloring within k - 2 of the list chromatic number. This improves the previous multiplicative O(k)-approximation algorithm [20]. Clearly our result also yields an additive approximation algorithm for graph coloring in a minor-closed graph class. This result may give better graph colorings than the previous multiplicative 2-approximation algorithm for graph coloring in a minor-closed graph class [6]. Our structure theorem is of independent interest in the sense that it gives rise to a new insight on well-connected H-minor-free graphs. In particular, this class of graphs can be easily decomposed into two parts so that one part has bounded treewidth and the other part is a disjoint union of bounded-genus graphs. Moreover, we can control the number of edges between the two parts. The proof method itself tells us how knowledge of a local structure can be used to gain a global structure, which gives new insight on how to decompose a graph with the help of local-structure information.
引用
收藏
页码:1166 / +
页数:3
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