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» A branch and bound method for stochastic global optimization
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DISOPT
2008
138views more  DISOPT 2008»
14 years 9 months ago
An algorithmic framework for convex mixed integer nonlinear programs
This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software f...
Pierre Bonami, Lorenz T. Biegler, Andrew R. Conn, ...
WCNC
2008
IEEE
15 years 4 months ago
Distributed Energy Efficient Spectrum Access in Wireless Cognitive Radio Sensor Networks
—In this paper, a wireless cognitive radio sensor network is considered, where each sensor node is equipped with cognitive radio and the network is a multi-carrier system operati...
Song Gao, Lijun Qian, Dhadesugoor R. Vaman
TIT
1998
99views more  TIT 1998»
14 years 9 months ago
Information-Theoretic Image Formation
—The emergent role of information theory in image formation is surveyed. Unlike the subject of information-theoretic communication theory, information-theoretic imaging is far fr...
Joseph A. O'Sullivan, Richard E. Blahut, Donald L....
94
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SARA
2009
Springer
15 years 4 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
75
Voted
JPDC
2007
84views more  JPDC 2007»
14 years 9 months ago
Distributed average consensus with least-mean-square deviation
We consider a stochastic model for distributed average consensus, which arises in applications such as load balancing for parallel processors, distributed coordination of mobile a...
Lin Xiao, Stephen P. Boyd, Seung-Jean Kim