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Big Data and Information Analytics, 2018, 3(2): 41-53. doi: 10.3934/BigDIA.2018.2.41.
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Comparing theory based and higher-order reduced models for fusion simulation data
1 Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
2 Fusion Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
3 School of Mathematics, University of Manchester, UK
4 Extreme Computing Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
5 General Atomics, San Diego, CA, USA
Received: , Accepted: , Published:
Keywords: general linear models; polynomial models; deep neural networks; plasma fusion; Tokamak
Citation: David E. Bernholdt, Mark R. Ciancosa, David L. Green, Kody J.H. Law, Alexander Litvinenko, Jin M. Park. Comparing theory based and higher-order reduced models for fusion simulation data. Big Data and Information Analytics, 2018, 3(2): 41-53. doi: 10.3934/BigDIA.2018.2.41
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