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MP
2006
103views more  MP 2006»
13 years 7 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
CCE
2004
13 years 7 months ago
Modeling and solving real-time scheduling problems by stochastic integer programming
This contribution deals with scheduling problems of flexible chemical batch processes with a special emphasis on their real-time character. This implies not only the need for suff...
Guido Sand, Sebastian Engell
CCE
2006
13 years 7 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
ICPADS
1994
IEEE
13 years 11 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...
ICC
2009
IEEE
151views Communications» more  ICC 2009»
14 years 2 months 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...