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
Link To Document :
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