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On PTAS for the Geometric Maximum Connected k-Factor Problem

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Optimization and Applications (OPTIMA 2019)

Abstract

We consider the Connected k-factor problem (k-CFP): given a complete edge-weighted n-vertex graph, the goal is to find a connected k-regular spanning subgraph of maximum or minimum total weight. The problem is called geometric, if the vertices of a graph correspond to a set of points in a normed spaceĀ \(\mathbb R^d\) and the weight of an edge is the distance between its endpoints. The k-CFP is a natural generalization of the well-known Traveling Salesman Problem, which is equivalent to the 2-CFP. In this paper we complement the known \((1-1/ k^2)\)-approximation algorithm for the maximum k-CFP from [Baburin et al., 2007] with an approximation algorithm for the geometric k-CFP, that guarantees a relative error \(\varepsilon = O\left( (k/n)^{1/(d+2)}\right) \). Together these two algorithms form an asymptotically optimal algorithm for the geometric k-CFP with an arbitrary value of k in an arbitrary normed space of fixed dimension d. Finally, the asymptotically optimal algorithm can be easily transformed into a PTAS for the considered geometric problem.

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Funding

The authors are supported by the program of fundamental scientific researches of the SB RAS, project 0314-2019-0014 and by the Ministry of Science and Higher Education of the Russian Federation under the 5-100 Excellence Programme.

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Correspondence to Oxana Tsidulko .

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Gimadi, E., Rykov, I., Tsidulko, O. (2020). On PTAS for the Geometric Maximum Connected k-Factor Problem. In: Jaćimović, M., Khachay, M., Malkova, V., Posypkin, M. (eds) Optimization and Applications. OPTIMA 2019. Communications in Computer and Information Science, vol 1145. Springer, Cham. https://doi.org/10.1007/978-3-030-38603-0_15

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  • DOI: https://doi.org/10.1007/978-3-030-38603-0_15

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