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COCOON
2005
Springer
14 years 27 days 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
ESA
2001
Springer
132views Algorithms» more  ESA 2001»
13 years 12 months ago
Greedy Algorithms for Minimisation Problems in Random Regular Graphs
In this paper we introduce a general strategy for approximating the solution to minimisation problems in random regular graphs. We describe how the approach can be applied to the m...
Michele Zito
WEA
2007
Springer
108views Algorithms» more  WEA 2007»
14 years 1 months ago
Engineering Algorithms for Approximate Weighted Matching
We present a systematic study of approximation algorithms for the maximum weight matching problem. This includes a new algorithm which provides the simple greedy method with a rece...
Jens Maue, Peter Sanders
IJCNN
2006
IEEE
14 years 1 months ago
Greedy forward selection algorithms to Sparse Gaussian Process Regression
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...
Ping Sun, Xin Yao
ICALP
2010
Springer
13 years 9 months ago
On the Limitations of Greedy Mechanism Design for Truthful Combinatorial Auctions
We study the combinatorial auction (CA) problem, in which m objects are sold to rational agents and the goal is to maximize social welfare. Of particular interest is the special ca...
Allan Borodin, Brendan Lucier