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» Approximation Algorithms for k-hurdle Problems
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NIPS
2001
14 years 11 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
DISOPT
2006
155views more  DISOPT 2006»
14 years 9 months ago
Cyclical scheduling and multi-shift scheduling: Complexity and approximation algorithms
We consider the multiple shift scheduling problem modelled as a covering problem. Such problems are characterized by a constraint matrix that has in every column blocks of consecu...
Dorit S. Hochbaum, Asaf Levin
MLDM
2010
Springer
14 years 4 months ago
Fast Algorithms for Constant Approximation k-Means Clustering
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran
ESA
2006
Springer
103views Algorithms» more  ESA 2006»
15 years 1 months ago
Greedy in Approximation Algorithms
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k...
Julián Mestre
IJKESDP
2010
149views more  IJKESDP 2010»
14 years 8 months ago
An approximate solution method based on tabu search for k-minimum spanning tree problems
—This paper considers k-minimum spanning tree problems. An existing solution algorithm based on tabu search, which was proposed by Katagiri et al., includes an iterative solving ...
Hideki Katagiri, Tomohiro Hayashida, Ichiro Nishiz...