期刊
CHAOS SOLITONS & FRACTALS
卷 64, 期 -, 页码 16-25出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2014.03.005
关键词
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资金
- AFSOR Award [Fl1B-T06-0007]
- NASA [NNH11ZEA001N]
- NDSEG fellowship
Computational methods for sensitivity analysis are invaluable tools for scientists and engineers investigating a wide range of physical phenomena. However, many of these methods fail when applied to chaotic systems, such as the Kuramoto-Sivashinsky (K-S) equation, which models a number of different chaotic systems found in nature. The following paper discusses the application of a new sensitivity analysis method developed by the authors to a modified K-S equation. We find that least squares shadowing sensitivity analysis computes accurate gradients for solutions corresponding to a wide range of system parameters. (C) 2014 Elsevier Ltd. All rights reserved.
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