1988
DOI: 10.1002/jgt.3190120212
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On‐line and first fit colorings of graphs

Abstract: A graph coloring algorithm that immediately colors the vertices taken from a list without looking ahead or changing colors already assigned is called "on-line coloring." The properties of on-line colorings are investigated in several classes of graphs. In many cases w e find on-line colorings that use no more colors than some function of the largest clique size of the graph. We show that the first fit on-line coloring has an absolute performance ratio of two for the complement of chordal graphs. We prove an up… Show more

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Cited by 183 publications
(147 citation statements)
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“…The DPU problem can be also considered in graph-theoretic setting, which has been explored by Gyârfâs and Lehel [8]. Rectangles may be treated as vertices of an interval graph.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The DPU problem can be also considered in graph-theoretic setting, which has been explored by Gyârfâs and Lehel [8]. Rectangles may be treated as vertices of an interval graph.…”
Section: Introductionmentioning
confidence: 99%
“…The strongest upper bound [8] (due to W. Just) states that for each interval graph the number of colors used by First Fit is O (n log n), where n is the size of the largest clique.…”
Section: Introductionmentioning
confidence: 99%
“…E.g. Erdős and Gyárfás [18], Gyárfás and Lehel [29] deal with coloring of psplit graphs. Yin and Li [90] gave sufficient conditions for graphic sequences to have a realization with prescribed clique size.…”
Section: Theorem 25 (Maffray Preissmann [58]) G Is a Pseudo Split Grmentioning
confidence: 99%
“…Therefore the competitive ratio may be lower than what can reasonably be expected by an on-line algorithm attempting to be fair at each time step. On-line algorithms have been studied in many contexts, including bin packing [5], graph coloring [6], and bipartite matching [7]. Analysis of these on-line algorithms could benefit from theoretical results on the corresponding off-line incremental problem.…”
Section: Introductionmentioning
confidence: 99%