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» On Deterministic Approximation of DNF
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CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 2 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
SIAMMA
2011
97views more  SIAMMA 2011»
12 years 10 months ago
Convergence Rates for Greedy Algorithms in Reduced Basis Methods
The reduced basis method was introduced for the accurate online evaluation of solutions to a parameter dependent family of elliptic partial differential equations. ly, it can be ...
Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald...
EMO
2001
Springer
209views Optimization» more  EMO 2001»
14 years 5 days ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
INFOCOM
2010
IEEE
13 years 6 months ago
Cross-layer Optimization for Wireless Networks with Deterministic Channel Models
Abstract—Existing work on cross-layer optimization for wireless networks adopts simple physical-layer models, i.e., treating interference as noise. In this paper, we adopt a dete...
Ziyu Shao, Minghua Chen, Salman Avestimehr, Shuo-Y...
STOC
2003
ACM
164views Algorithms» more  STOC 2003»
14 years 8 months ago
Approximate counting by dynamic programming
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
Martin E. Dyer