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» Approximation Algorithms for Clustering Problems
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EVOW
2009
Springer
16 years 1 months ago
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering
In a recent paper an algorithm for solving MAX-SAT was proposed which worked by clustering good solutions and restarting the search from the closest feasible solutions. This was sh...
Mohamed Qasem, Adam Prügel-Bennett
ISSAC
2004
Springer
135views Mathematics» more  ISSAC 2004»
16 years 9 days ago
Absolute polynomial factorization in two variables and the knapsack problem
A recent algorithmic procedure for computing the absolute factorization of a polynomial P(X, Y ), after a linear change of coordinates, is via a factorization modulo X3 . This was...
Guillaume Chèze
ALGOSENSORS
2010
Springer
15 years 6 months ago
Lifetime Maximization of Monitoring Sensor Networks
We study the problem of maximizing the lifetime of a sensor network assigned to monitor a given area. Our main result is a linear time dual approximation algorithm that comes arbit...
Peter Sanders, Dennis Schieferdecker
JCSS
2008
138views more  JCSS 2008»
15 years 7 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
SAT
2007
Springer
99views Hardware» more  SAT 2007»
16 years 1 months ago
Horn Upper Bounds and Renaming
Abstract. We consider the problem of computing tractable approximations to CNF formulas, extending the approach of Selman and Kautz to compute the Horn-LUB to involve renaming of v...
Marina Langlois, Robert H. Sloan, György Tur&...