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Sensitivity analysis on chaotic dynamical systems by Finite Difference Non-Intrusive Least Squares Shadowing (FD-NILSS)

Authors :
Ni, Angxiu
Wang, Qiqi
Fernandez, Pablo
Talnikar, Chaitanya
Source :
Journal of Computational Physics, Volume 394, Pages 615-631, 2019
Publication Year :
2017

Abstract

We present the Finite Difference Non-Intrusive Least Squares Shadowing (FD-NILSS) algorithm for computing sensitivities of long-time averaged quantities in chaotic dynamical systems. FD-NILSS does not require tangent solvers, and can be implemented with little modification to existing numerical simulation software. We also give a formula for solving the least-squares problem in FD-NILSS, which can be applied in NILSS as well. Finally, we apply FD-NILSS for sensitivity analysis of a chaotic flow over a 3-D cylinder at Reynolds number 525, where FD-NILSS computes accurate sensitivities and the computational cost is in the same order as the numerical simulation.<br />Comment: 20 pages, 8 figures

Details

Database :
arXiv
Journal :
Journal of Computational Physics, Volume 394, Pages 615-631, 2019
Publication Type :
Report
Accession number :
edsarx.1711.06633
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.jcp.2019.06.004