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arXiv · 2107.07141

An Efficient Semi-Streaming PTAS for Tournament Feedback ArcSet with Few Passes

Anubhav Baweja·Justin Jia·David P. Woodruff
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Abstract

We present the first semi-streaming PTAS for the minimum feedback arc set problem on directed tournaments in a small number of passes. Namely, we obtain a $(1 + \varepsilon)$-approximation in polynomial time $O \left( \text{poly}(n) 2^{\text{poly}(1/\varepsilon)} \right)$, with $p$ passes in $n^{1+1/p} \cdot \text{poly}\left(\frac{\log n}{\varepsilon}\right)$ space. The only previous algorithm with this pass/space trade-off gave a $3$-approximation (SODA, 2020), and other polynomial-time algorithms which achieved a $(1+\varepsilon)$-approximation did so with quadratic memory or with a linear number of passes. We also present a new time/space trade-off for $1$-pass algorithms that solve the tournament feedback arc set problem. This problem has several applications in machine learning such as creating linear classifiers and doing Bayesian inference. We also provide several additional algorithms and lower bounds for related streaming problems on directed graphs, which is a mostly unexplored territory.

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Anubhav Baweja, Justin Jia, David P. Woodruff. 2021-07-15. An Efficient Semi-Streaming PTAS for Tournament Feedback ArcSet with Few Passes. https://arxiv.org/abs/2107.07141

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