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» Computational complexity of stochastic programming problems
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CCE
2008
13 years 5 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
ICC
2009
IEEE
151views Communications» more  ICC 2009»
14 years 16 days ago
Slow Adaptive OFDMA via Stochastic Programming
—Fueled by the promises of high spectral efficiency, adaptive OFDMA has attracted enormous research interests over the last decade. The significant capacity gain of adaptive OF...
Wei Liang (William) Li, Ying Jun (Angela) Zhang, M...
ICALP
2005
Springer
13 years 11 months ago
Recursive Markov Decision Processes and Recursive Stochastic Games
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), which are classes of (finitely presented) countable-state MDPs and zero-su...
Kousha Etessami, Mihalis Yannakakis
ICPADS
1994
IEEE
13 years 10 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
ICALP
2005
Springer
13 years 11 months ago
The Complexity of Stochastic Rabin and Streett Games'
Krishnendu Chatterjee, Luca de Alfaro, Thomas A. H...