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» Approximation Algorithms for k-hurdle Problems
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COCOON
2005
Springer
15 years 3 months ago
The Reverse Greedy Algorithm for the Metric K-Median Problem
The Reverse Greedy algorithm (RGREEDY) for the k-median problem works as follows. It starts by placing facilities on all nodes. At each step, it removes a facility to minimize the...
Marek Chrobak, Claire Kenyon, Neal E. Young
SODA
2012
ACM
229views Algorithms» more  SODA 2012»
13 years 7 days ago
Approximation algorithms for stochastic orienteering
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
Anupam Gupta, Ravishankar Krishnaswamy, Viswanath ...
OL
2011
190views Neural Networks» more  OL 2011»
14 years 4 months ago
On optimality of a polynomial algorithm for random linear multidimensional assignment problem
We demonstrate that the Linear Multidimensional Assignment Problem with iid random costs is polynomially "-approximable almost surely (a. s.) via a simple greedy heuristic, f...
Pavlo A. Krokhmal
IJCGA
2002
73views more  IJCGA 2002»
14 years 9 months ago
A Simple Factor-2/3 Approximation Algorithm for Two-Circle Point Labeling
Given a set P of n points in the plane, the two-circle point-labeling problem consists of placing 2n uniform, non-intersecting, maximum-size open circles such that each point touc...
Alexander Wolff, Michael Thon, Yin-Feng Xu
STOC
2004
ACM
107views Algorithms» more  STOC 2004»
15 years 10 months ago
Primal-dual algorithms for deterministic inventory problems
We consider several classical models in deterministic inventory theory: the single-item lot-sizing problem, the joint replenishment problem, and the multi-stage assembly problem. ...
Retsef Levi, Robin Roundy, David B. Shmoys