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» Approximation Algorithms for k-hurdle Problems
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COCOON
2005
Springer
15 years 8 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 5 months 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 ...
171
Voted
OL
2011
190views Neural Networks» more  OL 2011»
14 years 10 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
112
Voted
IJCGA
2002
73views more  IJCGA 2002»
15 years 3 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»
16 years 3 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