Title
Minimizing Lipschitz-continuous strongly convex functions over integer points in polytopes
Abstract
This paper is about the minimization of Lipschitz-continuous and strongly convex functions over integer points in polytopes. Our results are related to the rate of convergence of a black-box algorithm that iteratively solves special quadratic integer problems with a constant approximation factor. Despite the generality of the underlying problem, we prove that we can find efficiently, with respect to our assumptions regarding the encoding of the problem, a feasible solution whose objective function value is close to the optimal value. We also show that this proximity result is the best possible up to a factor polynomial in the encoding length of the problem.
Year
DOI
Venue
2012
10.1007/s10107-012-0545-8
Math. Program.
Keywords
Field
DocType
objective function value,optimal value,convex function,constant approximation factor,minimizing lipschitz-continuous,underlying problem,encoding length,factor polynomial,black-box algorithm,special quadratic integer problem,integer point
Integer,Discrete mathematics,Combinatorics,Mathematical optimization,Polynomial,Integer points in convex polyhedra,Polytope,Convex function,Lipschitz continuity,Convex optimization,Convex analysis,Mathematics
Journal
Volume
Issue
ISSN
134
1
1436-4646
Citations 
PageRank 
References 
3
0.40
11
Authors
5
Name
Order
Citations
PageRank
Michel Baes1243.83
Alberto Del Pia26711.62
Yurii Nesterov31800168.77
Shmuel Onn442054.77
Robert Weismantel596490.05