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Global random optimization by simultaneous perturbation stochastic approximation
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Authors:
John L. Maryak
The Johns Hopkins University, Laurel, MD
Daniel C. Chin
The Johns Hopkins University, Laurel, MD
Published in:
· Proceeding
WSC '01
Proceedings of the 33nd conference on Winter simulation
Pages 307-312
IEEE Computer Society
Washington, DC
, USA
©2001
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ISBN:0-7803-7309-X
2001 Article
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Tags:
algorithms
global optimization
performance
statistical computing
stochastic programming
theory
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