A parallel-in-time approach for accelerating direct-adjoint studies

Skene, CS orcid.org/0000-0003-0994-2013, Eggl, MF and Schmid, PJ (2021) A parallel-in-time approach for accelerating direct-adjoint studies. Journal of Computational Physics, 429. 110033. p. 110033. ISSN 0021-9991

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Copyright, Publisher and Additional Information: © 2020 Elsevier Inc. All rights reserved. This is an author produced version of an article, published in Journal of Computational Physics. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Parallel-in-time; Direct-adjoint looping; Optimization; Exponential integration
Dates:
  • Accepted: 22 November 2020
  • Published (online): 26 November 2020
  • Published: 15 March 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 May 2021 11:42
Last Modified: 26 Nov 2021 01:39
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jcp.2020.110033

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