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What and Who

Gap-ETH-tight approximation scheme for Euclidean TSP

Sándor Kisfaludi-Bak
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1  
AG Audience
English

Date, Time and Location

Thursday, 10 December 2020
13:00
30 Minutes
Virtual talk
Virtual talk
Saarbrücken

Abstract

The Euclidean TSP problem aims to find the shortest round trip of a set of n points in Euclidean space. The celebrated approximation scheme of Arora [JACM'98] can produce a (1+epsilon)-approximate tour in d-dimensional space for any fixed positive epsilon and d in polynomial time. The result (and the independently discovered algorithm of Mitchell) sparked a lot of interest in the problem and in approximation schemes for geometric problems in general.


In this talk, we will see an elegant modification to Arora's scheme called "sparsity-sensitive patching", which fine-tunes the granularity with which the tour is simplified. The resulting algorithm has running time 2^O(epsilon^(1-d)) n log n for any fixed d, which is faster than Arora's scheme, and also faster than the approximation scheme of Rao and Smith. In fact, the epsilon-dependence of our algorithm is optimal under the Gap Exponential Time Hypothesis.

The talk is based on joint work with Jesper Nederlof and Karol Wegrzycki. A preprint is available at https://arxiv.org/abs/2011.03778

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Meeting ID: 527 278 8807

Note: for people outside D1 interested in listening to this talk, please contact Sándor Kisfaludi-Bak at skisfalu@mpi-inf.mpg.de for the password.

Contact

Sándor Kisfaludi-Bak
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Tags, Category, Keywords and additional notes

Join Zoom Meeting
Meeting ID: 527 278 8807

Note: for people outside D1 interested in listening to this talk, please contact Sándor Kisfaludi-Bak at skisfalu@mpi-inf.mpg.de for the password.

Sándor Kisfaludi-Bak, 11/25/2020 13:12
Sándor Kisfaludi-Bak, 11/25/2020 11:24 -- Created document.