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TNN
2010
182views Management» more  TNN 2010»
13 years 2 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
ICCAD
2003
IEEE
210views Hardware» more  ICCAD 2003»
14 years 4 months ago
Generalized Network Flow Techniques for Dynamic Voltage Scaling in Hard Real-Time Systems
Energy consumption is an important performance parameter for portable and wireless embedded systems. However, energy consumption must be carefully balanced with real-time responsi...
Vishnu Swaminathan, Krishnendu Chakrabarty
CCS
2009
ACM
14 years 8 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
NETWORKS
2006
13 years 7 months ago
Extreme point characterizations for infinite network flow problems
We study capacitated network flow problems with supplies and demands defined on a countably infinite collection of nodes having finite degree. This class of network flow models in...
H. Edwin Romeijn, Dushyant Sharma, Robert L. Smith
WIOPT
2011
IEEE
12 years 11 months ago
Network utility maximization over partially observable Markovian channels
Abstract—This paper considers maximizing throughput utility in a multi-user network with partially observable Markov ON/OFF channels. Instantaneous channel states are never known...
Chih-Ping Li, Michael J. Neely