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» Approximating max-min linear programs with local algorithms
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ICALP
2007
Springer
15 years 1 months ago
Efficient Algorithms for Constant Well Supported Approximate Equilibria in Bimatrix Games
Abstract. In this work we study the tractability of well supported approximate Nash Equilibria (SuppNE in short) in bimatrix games. In view of the apparent intractability of constr...
Spyros C. Kontogiannis, Paul G. Spirakis
STOC
2009
ACM
136views Algorithms» more  STOC 2009»
15 years 10 months ago
Random walks on polytopes and an affine interior point method for linear programming
Let K be a polytope in Rn defined by m linear inequalities. We give a new Markov Chain algorithm to draw a nearly uniform sample from K. The underlying Markov Chain is the first t...
Ravi Kannan, Hariharan Narayanan
CDC
2010
IEEE
100views Control Systems» more  CDC 2010»
14 years 4 months ago
A resistance-based approach to consensus algorithm performance analysis
Abstract-We study the well known linear consensus algorithm by means of a LQ-type performance cost. We want to understand how the communication topology influences this algorithm. ...
Federica Garin, Enrico Lovisari, Sandro Zampieri
ICALP
2005
Springer
15 years 3 months ago
Linear Time Algorithms for Clustering Problems in Any Dimensions
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Amit Kumar, Yogish Sabharwal, Sandeep Sen
ICASSP
2011
IEEE
14 years 1 months ago
Distributed linear discriminant analysis
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
Sergio Valcarcel Macua, Pavle Belanovic, Santiago ...