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dc.contributor.authorChater, Mario
dc.contributor.authorNi, Angxiu
dc.contributor.authorWang, Qiqi
dc.date.accessioned2019-02-13T18:51:01Z
dc.date.available2019-02-13T18:51:01Z
dc.date.issued2016-10
dc.date.submitted2016-05
dc.identifier.issn0021-9991
dc.identifier.urihttp://hdl.handle.net/1721.1/120359
dc.description.abstractThis paper develops a variant of the Least Squares Shadowing (LSS) method, which has successfully computed the derivative for several chaotic ODEs and PDEs. The development in this paper aims to simplify Least Squares Shadowing method by improving how time dilation is treated. Instead of adding an explicit time dilation term as in the original method, the new variant uses windowing, which can be more efficient and simpler to implement, especially for PDEs. Keywords: Sensitivity analysis, Linear response, Adjoint equation, Unsteady adjoint, Chaos, Least squares shadowingen_US
dc.description.sponsorshipUnited States. Air Force. Office of Scientific Research (Award 14RT0138)en_US
dc.description.sponsorshipUnited States. Air Force. Office of Scientific Research (Award 1F11B-T06-0007)en_US
dc.description.sponsorshipUnited States. National Aeronautics and Space Administration (Award NNH11ZEA001N)en_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.JCP.2016.10.035en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcearXiven_US
dc.titleSimplified Least Squares Shadowing sensitivity analysis for chaotic ODEs and PDEsen_US
dc.typeArticleen_US
dc.identifier.citationChater, Mario, Angxiu Ni, and Qiqi Wang. “Simplified Least Squares Shadowing Sensitivity Analysis for Chaotic ODEs and PDEs.” Journal of Computational Physics 329 (January 2017): 126–140.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.mitauthorChater, Mario
dc.contributor.mitauthorNi, Angxiu
dc.contributor.mitauthorWang, Qiqi
dc.relation.journalJournal of Computational Physicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-02-11T18:26:56Z
dspace.orderedauthorsChater, Mario; Ni, Angxiu; Wang, Qiqien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4098-6196
dc.identifier.orcidhttps://orcid.org/0000-0001-9334-5005
dc.identifier.orcidhttps://orcid.org/0000-0001-9669-2563
mit.licensePUBLISHER_CCen_US


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