Polynomial chaos enhanced by dynamic mode decomposition for order-reduction of dynamic models

Libero, G.; Tartakovsky, D. M.; Ciriello, V.

doi:10.1016/j.advwatres.2024.104677

Title: Polynomial chaos enhanced by dynamic mode decomposition for order-reduction of dynamic models

Journal Article · 31 March 2024 · Advances in Water Resources

DOI: https://doi.org/10.1016/j.advwatres.2024.104677 · OSTI ID:2323954

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Research Organization:: Stanford Univ., CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: SC0023163

OSTI ID:: 2323954

Journal Information:: Advances in Water Resources, Journal Name: Advances in Water Resources Journal Issue: C Vol. 186; ISSN 0309-1708

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Incomplete statistical information limits the utility of high-order polynomial chaos expansions Oladyshkin, Sergey; Nowak, Wolfgang Reliability Engineering & System Safety, Vol. 169 https://doi.org/10.1016/j.ress.2017.08.010	journal	January 2018
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Distribution‐Based Global Sensitivity Analysis in Hydrology Ciriello, Valentina; Lauriola, Ilaria; Tartakovsky, Daniel M. Water Resources Research, Vol. 55, Issue 11 https://doi.org/10.1029/2019WR025844	journal	November 2019
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