AnO(logn/log logn)-Approximation Algorithm for the Asymmetric Traveling Salesman Problem-Reference-Cited by-同舟云学术

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AnO(logn/log logn)-Approximation Algorithm for the Asymmetric Traveling Salesman Problem

Published:2017-08 Issue:4 Volume:65 Page:1043-1061
ISSN:0030-364X
Container-title:Operations Research
language:en
Short-container-title:Operations Research

Author:

Asadpour Arash¹^ORCID,Goemans Michel X.²,Mądry Aleksander³,Gharan Shayan Oveis⁴,Saberi Amin⁵

Affiliation:

1. Department of Information, Operations, and Management Science, New York University Stern School of Business, New York, New York 10012

2. Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139

3. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139

4. Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98105

5. Department of Management Science and Engineering, Stanford University, Stanford, California 94305

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Link

https://pubsonline.informs.org/doi/pdf/10.1287/opre.2017.1603

Reference48 articles.

1. The Random Walk Construction of Uniform Spanning Trees and Uniform Labelled Trees

2. The Traveling Salesman Problem

3. An Approximation Algorithm for Max-Min Fair Allocation of Indivisible Goods

4. An O(log n/log log n)-approximation Algorithm for the Asymmetric Traveling Salesman Problem

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