A polynomial-time algorithm for conformable coloring on regular bipartite and subcubic graphs

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED Discrete Optimization Pub Date : 2024-11-29 DOI:10.1016/j.disopt.2024.100865
Luerbio Faria, Mauro Nigro, Diana Sasaki
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引用次数: 0

Abstract

In 1988, Chetwynd and Hilton observed that a (Δ+1)-total coloring induces a vertex coloring in the graph, they called it conformable. A (Δ+1)-vertex coloring of a graph G=(V,E) is called conformable if the number of color classes of parity different from that of |V| is at most the deficiency def(G)=vV(ΔdG(v)) of G, where dG(v) is the degree of a vertex v of V. In 1994, McDiarmid and Sánchez-Arroyo proved that deciding whether a graph G has (Δ+1)-total coloring is NP-complete even when G is k-regular bipartite with k3. However, the time-complexity of the problem of determining whether a graph admits a conformable coloring (Conformability problem) remains unknown. In this paper, we prove that Conformability problem is polynomial solvable for the class of k-regular bipartite and for the class of subcubic graphs.
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正则二部图和次三次图上的合着色的多项式时间算法
在1988年,Chetwynd和Hilton观察到(Δ+1)-total着色在图中引起顶点着色,他们称之为顺应着色。图G=(V,E)的A (Δ+1)-顶点着色,如果与|V|的奇偶性不同的色类数最多等于G的缺陷def(G)=∑V∈V(Δ−dG(V)),其中dG(V)是V的顶点V的度。1994年,McDiarmid和Sánchez-Arroyo证明了判定图G是否具有(Δ+1)-全着色是np完全的,即使G是k≥3的k正则二部。然而,确定图是否允许符合着色问题(符合问题)的时间复杂度仍然是未知的。本文证明了k正则二部图和次三次图的一致性问题是多项式可解的。
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来源期刊
Discrete Optimization
Discrete Optimization 管理科学-应用数学
CiteScore
2.10
自引率
9.10%
发文量
30
审稿时长
>12 weeks
期刊介绍: Discrete Optimization publishes research papers on the mathematical, computational and applied aspects of all areas of integer programming and combinatorial optimization. In addition to reports on mathematical results pertinent to discrete optimization, the journal welcomes submissions on algorithmic developments, computational experiments, and novel applications (in particular, large-scale and real-time applications). The journal also publishes clearly labelled surveys, reviews, short notes, and open problems. Manuscripts submitted for possible publication to Discrete Optimization should report on original research, should not have been previously published, and should not be under consideration for publication by any other journal.
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