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157
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NIPS
2001
15 years 5 months ago
A General Greedy Approximation Algorithm with Applications
Greedy approximation algorithms have been frequently used to obtain sparse solutions to learning problems. In this paper, we present a general greedy algorithm for solving a class...
T. Zhang
179
Voted
MFCS
2005
Springer
15 years 9 months ago
Greedy Approximation via Duality for Packing, Combinatorial Auctions and Routing
We study simple greedy approximation algorithms for general class of integer packing problems. We provide a novel analysis based on the duality theory of linear programming. This e...
Piotr Krysta
SODA
2008
ACM
97views Algorithms» more  SODA 2008»
15 years 5 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...
143
Voted
ICAC
2006
IEEE
15 years 10 months ago
Hardness of Approximation and Greedy Algorithms for the Adaptation Problem in Virtual Environments
— Over the past decade, wide-area distributed computing has emerged as a powerful computing paradigm. Virtual machines greatly simplify wide-area distributed computing ing the ab...
Ananth I. Sundararaj, Manan Sanghi, John R. Lange,...
STOC
2005
ACM
174views Algorithms» more  STOC 2005»
16 years 4 months ago
On the average case performance of some greedy approximation algorithms for the uncapacitated facility location problem
In combinatorial optimization, a popular approach to NP-hard problems is the design of approximation algorithms. These algorithms typically run in polynomial time and are guarante...
Abraham Flaxman, Alan M. Frieze, Juan Carlos Vera