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The Maximum Cut Problem

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The maximum cut problem (MAX-CUT) is one of the fundamental problems in combinatorial optimization. This chapter discusses the complexity of the MAX-CUT problem and of certain cases where the problem can be solved in polynomial time. It presents some applications of the MAXCUT problem. The chapter discusses the cut polytope. The chapter introduces certain classes of facets of this polyhedron and it studies their separation problems. The chapter describes some branch-and-cut algorithms for solving the MAX-CUT problem. It devotes to studying the MAX-CUT problem using semi-definite programming. The chapter introduces certain applications of the cuts cone. It also introduces some approximation methods for the MAX-CUT problem, both with and without guarantees. It also discusses the polyhedral aspect of some problems that are related to the MAX-CUT problem.

Original languageEnglish
Title of host publicationParadigms of Combinatorial Optimization-2nd Edition
Subtitle of host publicationProblems and New Approaches
PublisherWiley-Blackwell
Pages131-172
Number of pages42
Volume9781848216570
ISBN (Electronic)9781119005353
ISBN (Print)9781848216570
DOIs
Publication statusPublished - 15 Sept 2014
Externally publishedYes

Keywords

  • Approximation methods
  • Branch-and-cut algorithms
  • Combinatorial optimization
  • Cut polytope
  • Cuts cone
  • Fundamental problems
  • Maximum cut problem (MAX-CUT)
  • Polynomial time

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