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Efficient approximation algorithms for domatic partition and on-line coloring of circular arc graphs

机译:圆弧图的穹顶分割和在线着色的高效近似算法

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Exploits the close relationship between circular arc graphs and interval graphs to design efficient approximation algorithms for NP-hard optimization problems on circular arc graphs. The problems considered are maximum domatic partition and online minimum vertex coloring. We present a heuristic for the domatic partition problem with a performance ratio of 4. For online coloring, we consider two different online models. In the first model, arcs are presented in the increasing order of their left endpoints. For this model, our heuristic guarantees a solution which is within a factor of 2 of the optimal (off-line) value; and we show that no online coloring algorithm can achieve a performance guarantee of less than 3/2. In the second online model, arcs are presented in an arbitrary order; and it is known that no online coloring algorithm can achieve a performance guarantee of less than 3. For this model, we present a heuristic which provides a performance guarantee of 4.
机译:利用圆弧图和区间图之间的紧密关系,为圆弧图上的NP硬优化问题设计有效的近似算法。所考虑的问题是最大的区域划分和在线的最小顶点着色。我们以4的性能比提出了针对半球形分区问题的启发式方法。对于在线着色,我们考虑了两种不同的在线模型。在第一个模型中,弧以其左端点的升序显示。对于此模型,我们的启发式方法保证了解决方案的最佳(离线)值的2倍以内;并且我们证明,没有任何在线着色算法可以实现低于3/2的性能保证。在第二个在线模型中,弧以任意顺序显示;众所周知,没有一种在线着色算法可以达到3以下的性能保证。对于此模型,我们提出一种启发式算法,可以提供4的性能保证。

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