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An asymptotically exact algorithm for the maximum traveling salesman problem in a finite-dimensional normed space

机译:有限维赋范空间中最大旅行商问题的渐近精确算法

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摘要

We consider the geometric maximum traveling salesman problem on assuming that the vertices of a graph lie in an arbitrary finite-dimensional normed space. For this problem we obtain an approximate algorithm with the relative error tending to zero as the number of vertices grows. The algorithm generalizes Serdyukov's algorithm for the Euclidean Max TSP.
机译:假设图的顶点位于任意有限维的范数空间中,则考虑几何最大旅行商问题。对于这个问题,我们获得一种近似算法,随着顶点数量的增加,相对误差趋于零。该算法将Serdyukov算法泛化为Euclidean Max TSP。

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