Approximation Algorithms for $\ell_p$-Shortest Path and $\ell_p$-Group Steiner Tree
April 26, 2024 Β· Declared Dead Β· + Add venue
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Authors
Yury Makarychev, Max Ovsiankin, Erasmo Tani
arXiv ID
2404.17669
Category
cs.DS: Data Structures & Algorithms
Citations
0
Last Checked
5 months ago
Abstract
We present polylogarithmic approximation algorithms for variants of the Shortest Path, Group Steiner Tree, and Group ATSP problems with vector costs. In these problems, each edge e has a non-negative vector cost $c_e \in \mathbb{R}^{\ell}_{\ge 0}$. For a feasible solution - a path, subtree, or tour (respectively) - we find the total vector cost of all the edges in the solution and then compute the $\ell_p$-norm of the obtained cost vector (we assume that $p \ge 1$ is an integer). Our algorithms for series-parallel graphs run in polynomial time and those for arbitrary graphs run in quasi-polynomial time. To obtain our results, we introduce and use new flow-based Sum-of-Squares relaxations. We also obtain a number of hardness results.
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