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Concentration inequalities for nonlinear matroid intersection
Authors:Konstantin Makarychev  Warren Schudy  Maxim Sviridenko
Affiliation:1. Microsoft Research, One Microsoft Way, Redmond, WA;2. IBM Research, NY;3. University of Warwick, UK
Abstract:In this work we propose new randomized rounding algorithms for matroid intersection and matroid base polytopes. We prove concentration inequalities for polynomial objective functions and constraints that has numerous applications and can be used in approximation algorithms for Minimum Quadratic Spanning Tree, Unrelated Parallel Machines Scheduling and scheduling with time windows and nonlinear objectives. We also show applications related to Constraint Satisfaction and dense polynomial optimization. © 2013 Wiley Periodicals, Inc. Random Struct. Alg., 46, 541–571, 2015
Keywords:approximation algorithms  randomized rounding  measure concentration
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