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WSC
2007
13 years 10 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 14 days ago
Benchmarking the NEWUOA on the BBOB-2009 function testbed
The NEWUOA which belongs to the class of Derivative-Free optimization algorithms is benchmarked on the BBOB-2009 noisefree testbed. A multistart strategy is applied with a maximum...
Raymond Ros
TMI
2008
67views more  TMI 2008»
13 years 7 months ago
A Fast Method for Designing Time-Optimal Gradient Waveforms for Arbitrary k-Space Trajectories
A fast and simple algorithm for designing time-optimal waveforms is presented. The algorithm accepts a given arbitrary multi-dimensional k-space trajectory as the input and outputs...
Michael Lustig, Seung-Jean Kim, John M. Pauly
CC
2010
Springer
243views System Software» more  CC 2010»
14 years 2 months ago
Optimizing Matlab through Just-In-Time Specialization
Abstract. Scientists are increasingly using dynamic programming languages like Matlab for prototyping and implementation. Effectively compiling Matlab raises many challenges due t...
Maxime Chevalier-Boisvert, Laurie J. Hendren, Clar...
SAC
1996
ACM
13 years 12 months ago
An enabling optimization for C++ virtual functions
Gaining the code re-use advantages of object oriented programming requires dynamic function binding, which allows a new subclass to override a function of a superclass. Dynamic bi...
Bradley M. Kuhn, David Binkley