(k, n- k) -Max-Cut: An O(2 p) -Time Algorithm and a Polynomial Kernel

Saket Saurabh, Meirav Zehavi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Max-Cut is a well-known classical NP-hard problem. This problem asks whether the vertex-set of a given graph G= (V, E) can be partitioned into two disjoint subsets, A and B, such that there exist at least p edges with one endpoint in A and the other endpoint in B. It is well known that if p≤ | E| / 2 , the answer is necessarily positive. A widely-studied variant of particular interest to parameterized complexity, called (k, n- k) -Max-Cut, restricts the size of the subset A to be exactly k. For the (k, n- k) -Max-Cut problem, we obtain an O(2 p) -time algorithm, improving upon the previous best O(4 p + o ( p )) -time algorithm, as well as the first polynomial kernel. Our algorithm relies on a delicate combination of methods and notions, including independent sets, depth-search trees, bounded search trees, dynamic programming and treewidth, while our kernel relies on examination of the closed neighborhood of the neighborhood of a certain independent set of the graph G.

Original languageEnglish
Pages (from-to)3844-3860
Number of pages17
Issue number12
StatePublished - 1 Dec 2018
Externally publishedYes


  • Bounded search tree
  • Kernel
  • Max-Cut
  • Parameterized algorithm

ASJC Scopus subject areas

  • Computer Science (all)
  • Computer Science Applications
  • Applied Mathematics


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