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SIAMJO
2010
130views more  SIAMJO 2010»
13 years 3 months ago
A Randomized Cutting Plane Method with Probabilistic Geometric Convergence
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
Fabrizio Dabbene, P. S. Shcherbakov, Boris T. Poly...
AC
2008
Springer
13 years 9 months ago
Computing with RFID- Drivers, Technology and Implications
Radio Frequency Identification or simply rfid has come to be an integral part of modern computing. Rfid is notable in that it is the first practical technology to tightly couple p...
George Roussos
NC
2002
210views Neural Networks» more  NC 2002»
13 years 8 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
SSD
2007
Springer
243views Database» more  SSD 2007»
14 years 3 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
SPAA
2010
ACM
14 years 1 months ago
Towards optimizing energy costs of algorithms for shared memory architectures
Energy consumption by computer systems has emerged as an important concern. However, the energy consumed in executing an algorithm cannot be inferred from its performance alone: i...
Vijay Anand Korthikanti, Gul Agha