Learning quantities of interest from dynamical systems for observation-consistent inversion
DOI10.1016/j.cma.2021.114230OpenAlexW3211725630MaRDI QIDQ2060144
Steven Mattis, Troy Butler, Clint N. Dawson, Kyle R. Steffen, Donald J. Estep
Publication date: 13 December 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.06918
dynamical systemsuncertainty quantificationquantity of intereststochastic inverse problemsobservation-consistent
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Time series analysis of dynamical systems (37M10) Numerical problems in dynamical systems (65P99)
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