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Fractional Path Coloring in Bounded Degree Trees with Applications

机译:有界度树中的分数路径着色及其应用

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This paper studies the natural linear programming relaxation of the path coloring problem. We prove constructively that finding an optimal fractional path coloring is Fixed Parameter Tractable (FPT), with the degree of the tree as parameter: the fractional coloring of paths in a bounded degree trees can be done in a time which is linear in the size of the tree, quadratic in the load of the set of paths, while exponential in the degree of the tree. We give an algorithm based on the generation of an efficient polynomial size linear program. Our algorithm is able to explore in polynomial time the exponential number of different fractional colorings, thanks to the notion of trace of a coloring that we introduce. We further give an upper bound on the cost of such a coloring in binary trees and extend this algorithm to bounded degree graphs with bounded treewidth. Finally, we also show some relationships between the integral and fractional problems, and derive a 1+5/3e≈1.61—approximation algorithm for the path coloring problem in bounded degree trees, improving on existing results. This classic combinatorial problem finds applications in the minimization of the number of wavelengths in wavelength division multiplexing (wdm) optical networks.
机译:本文研究了路径着色问题的自然线性规划松弛。我们以建设性的方式证明,以树的度数为参数,找到最优的分数路径着色是固定参数可牵引的(FPT):有界度树中路径的分数着色可以在线性的时间内完成树,在一组路径的负载中为二次方,而树的度数为指数。我们给出了基于有效多项式大小线性程序生成的算法。由于引入了着色痕迹的概念,我们的算法能够在多项式时间内探索不同分数着色的指数数量。我们进一步给出了二叉树中这种着色成本的上限,并将该算法扩展到具有有界树宽的有界度图。最后,我们还展示了积分问题和分数问题之间的一些关系,并针对有界度树中的路径着色问题推导了1 + 5 /3e≈1.61-近似算法,对现有结果进行了改进。这个经典的组合问题可用于最小化波分复用(wdm)光网络中的波长数量。

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