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ICIP
2010
IEEE
15 years 4 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
15 years 12 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
IPPS
2007
IEEE
16 years 26 days ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
HIPEAC
2005
Springer
16 years 2 days ago
A Practical Method for Quickly Evaluating Program Optimizations
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a s...
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyl...
CC
2009
Springer
116views System Software» more  CC 2009»
16 years 7 months ago
A Framework for Exploring Optimization Properties
Important challenges for compiler optimization include determining what optimizations to apply, where to apply them and what is a good sequence in which to apply them. To address t...
Min Zhao, Bruce R. Childers, Mary Lou Soffa