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RSA
2008
67views more  RSA 2008»
13 years 7 months ago
Sampling subproblems of heterogeneous Max-Cut problems and approximation algorithms
Petros Drineas, Ravi Kannan, Michael W. Mahoney
STACS
2005
Springer
14 years 1 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney
APPROX
2009
Springer
138views Algorithms» more  APPROX 2009»
14 years 2 months ago
Submodular Maximization over Multiple Matroids via Generalized Exchange Properties
Submodular-function maximization is a central problem in combinatorial optimization, generalizing many important NP-hard problems including Max Cut in digraphs, graphs and hypergr...
Jon Lee, Maxim Sviridenko, Jan Vondrák
ESA
2008
Springer
115views Algorithms» more  ESA 2008»
13 years 9 months ago
Deterministic Sampling Algorithms for Network Design
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
Anke van Zuylen
STOC
2009
ACM
163views Algorithms» more  STOC 2009»
14 years 8 months ago
Non-monotone submodular maximization under matroid and knapsack constraints
Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hy...
Jon Lee, Vahab S. Mirrokni, Viswanath Nagarajan, M...