parameterized complexity

when you know more about the instances than just their size

An important focus of our group is multivariate complexity analysis and algorithm design, a.k.a. parameterized complexity. The basic insight is that in many situations, one or more secondary measurements of problem instances or computational objectives, beyond the overall input size, govern a problem’s computational complexity.

selected papers

  1. ICALP
    The Parameterized Complexity of Positional Games
    In 44th International Colloquium on Automata, Languages, and Programming, ICALP 2017, July 10-14, 2017, Warsaw, Poland, 2017
  2. Haris Aziz, and Julián Mestre
    Parametrized algorithms for random serial dictatorship
    Mathematical Social Sciences, 2014
  3. FOCS
    Serge Gaspers, and Stefan Szeider
    Strong Backdoors to Bounded Treewidth SAT
    In 54th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2013, 26-29 October, 2013, Berkeley, CA, USA, 2013
  4. AAAI
    Christian Bessiere, Emmanuel Hebrard, Brahim Hnich, Zeynep Kiziltan, Claude-Guy Quimper, and Toby Walsh
    The Parameterized Complexity of Global Constraints
    In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008