ON THE HARDNESS OF APPROXIMATING MULTICUT AND SPARSEST-CUT

  • Authors:
  • Shuchi Chawla;Robert Krauthgamer;Ravi Kumar;Yuval Rabani;D. Sivakumar

  • Affiliations:
  • Computer Science Department, Carnegie Mellon University, Pittsburgh, U.S.A 15213;IBM Almaden Research Center, San Jose, U.S.A 95120;IBM Almaden Research Center, San Jose, U.S.A 95120 and Yahoo! Research, Sunnyvale, U.S.A 94089;Computer Science Department, Technion--Israel Institute of Technology, Haifa, Israel 32000;IBM Almaden Research Center, San Jose, U.S.A 95120 and Google, Inc., Mountain View, U.S.A 94043

  • Venue:
  • Computational Complexity
  • Year:
  • 2006

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Abstract

We show that the Multicut, Sparsest-Cut, and Min-2CNF 驴 Deletion problems are NP-hard to approximate within every constant factor, assuming the Unique Games Conjecture of Khot (2002). A quantitatively stronger version of the conjecture implies an inapproximability factor of $$\Omega(\sqrt{\log \log n}).$$