Wednesday, 16:15 - 16:40 h, Room: H 3010

 

Aravind Srinivasan
Dependent rounding and its applications

 

Abstract:
Randomized rounding is a well-known and powerful tool in rounding solutions to relaxations of optimization problems. Starting with the work of Ageev and Sviridenko, the notion of dependent randomized rounding has led to significant progress in a variety of (approximation) algorithms: one carefully defines dependencies between several basic random variables in the rounding process. We will present a brief survey of this area, including works of the speaker and those of Calinescu, Chekuri, Pal and Vondrak.

 

Talk 3 of the invited session Wed.3.H 3010
"Randomized rounding algorithms in mathematical programming" [...]
Cluster 1
"Approximation & online algorithms" [...]

 

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