• DocumentCode
    3766113
  • Title

    Information theory and polyhedral combinatorics

  • Author

    Sebastian Pokutta

  • Author_Institution
    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, United States
  • fYear
    2015
  • Firstpage
    1119
  • Lastpage
    1126
  • Abstract
    The theory of extended formulations is concerned with the optimal polyhedral representation of a (combinatorial) optimization problem. In this context, information-theoretic methods recently gained significant attention as a convenient way to provide strong lower bounds on the size of such representations. We will provide an introduction to information-theoretic methods in extended formulations, an overview of recent results, and discuss important open problems in extended formulations, which might be amenable to information-theoretic approaches.
  • Keywords
    "Complexity theory","Linear matrix inequalities","Optimization","Random variables","Linear programming","Entropy","Reflective binary codes"
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2015 53rd Annual Allerton Conference on
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2015.7447134
  • Filename
    7447134