Universität zu Köln

Jünger, Michael and Mallach, Sven ORCID: 0000-0001-5335-0678 (2019). Odd-Cycle Separation for Maximum Cut and Binary Quadratic Optimization. In: Lipics, 63:1-63:13. Dagstuhl Publishing.

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Abstract

Solving the NP-hard Maximum Cut or Binary Quadratic Optimization Problem to optimality is important in many applications including Physics, Chemistry, Neuroscience, and Circuit Layout. The leading approaches based on linear/semidefinite programming require the separation of so-called odd-cycle inequalities for solving relaxations within their associated branch-and-cut frameworks. In their groundbreaking work, F. Barahona and A.R. Mahjoub have given an informal description of a polynomial-time separation procedure for the odd-cycle inequalities. Since then, the odd-cycle separation problem has broadly been considered solved. However, as we reveal, a straightforward implementation is likely to generate inequalities that are not facet-defining and have further undesired properties. Here, we present a more detailed analysis, along with enhancements to overcome the associated issues efficiently. In a corresponding experimental study, it turns out that these are worthwhile, and may speed up the solution process significantly.

Item Type:	Book Section
Creators:	Creators Email ORCID ORCID Put Code Jünger, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Mallach, Sven UNSPECIFIED https://orcid.org/0000-0001-5335-0678 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-640704
Title of Book:	Lipics
Page Range:	63:1-63:13
Date:	September 2019
Publisher:	Dagstuhl Publishing
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects:	Data processing Computer science
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/64070