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WSC
2007
15 years 2 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
104
Voted
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 5 months 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»
15 years 7 days 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»
15 years 7 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
15 years 4 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