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» Theory of Optimal Control Using Bisimulations
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WSC
2004
13 years 8 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
AUTOMATICA
2006
83views more  AUTOMATICA 2006»
13 years 7 months ago
A stochastic control model of economic growth with environmental disaster prevention
This paper proposes a capital accumulation model with a random stopping time corresponding to the occurrence of an environmental catastrophe. Depending on the preventive capital s...
Alain Haurie, Francesco Moresino
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
14 years 1 months ago
Subgradient methods and consensus algorithms for solving convex optimization problems
— In this paper we propose a subgradient method for solving coupled optimization problems in a distributed way given restrictions on the communication topology. The iterative pro...
Björn Johansson, Tamás Keviczky, Mikae...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
13 years 11 months ago
Elementary landscapes of frequency assignment problems
We analyze various forms of the Frequency Assignment Problem using the theory of elementary landscapes. We show that three variants of the Frequency Assignment Problem are either ...
L. Darrell Whitley, J. Francisco Chicano, Enrique ...
INFOCOM
2006
IEEE
14 years 1 months ago
Theory and Network Applications of Dynamic Bloom Filters
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Deke Guo, Jie Wu, Honghui Chen, Xueshan Luo