Space-time parallel parareal algorithms for pattern formation models

dc.contributor.authorJiménez-Ciga, Iñigo
dc.contributor.authorArrarás Ventura, Andrés
dc.contributor.authorGaspar, F. J.
dc.contributor.authorPortero Egea, Laura
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute for Advanced Materials and Mathematics - INAMAT2en
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertistate Publikoa
dc.date.accessioned2025-09-05T10:32:30Z
dc.date.issued2025-04-28
dc.date.updated2025-09-05T10:31:58Z
dc.description.abstractIn the framework of the numerical solution of evolutionary differential problems, the limitations of sequential computing have prompted the need to design parallel methods. The aim of this paper is to bring together the parallelization in time of the parareal algorithm and that in space of splitting techniques, yielding a new type of space-time parallel methods. Their potential in the context of reaction-diffusion problems is illustrated by solving the Gray-Scott model, a well-known problem in the field of mathematical biology that describes the formation of animal patterns.en
dc.description.sponsorshipThe work of Iñigo Jimenez-Ciga was supported by Public University of Navarre (PhD Grant). The work of all the authors was supported by Grant PID2019-105574GB-I00 funded by MCIN/AEI/10.13039/501100011033 and Grant PID2022-140108NB-I00 funded by MCIN/AEI/10.13039/501100011033 and by 'A way of making Europe'.
dc.embargo.lift2026-04-28
dc.embargo.terms2026-04-28
dc.format.mimetypeapplication/pdf
dc.identifier.citationJimenez-Ciga, I., Arrarás, A., Gaspar, F. J., Portero, L. (2025). Space-time parallel parareal algorithms for pattern formation models. In Sequeira, A., Silvestre, A., Valtchev, S. S., Janela J. (Eds.), Numerical Mathematics and Advanced Applications ENUMATH 2023: European Conference, September 4-8, Lisbon, Portugal (pp. 1-11). Springer Cham. https://doi.org/10.1007/978-3-031-86169-7_1.
dc.identifier.doi10.1007/978-3-031-86169-7_1
dc.identifier.isbn978-3-031-86168-0
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/55004
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofIn Sequeira, A.; Silvestre, A.; Valtchev, S. S.; Janela, J. (Eds.). Numerical Mathematics and Advanced Applications ENUMATH 2023: European Conference, September 4-8, Lisbon, Portugal. Cham: Springer Cham; 2025. p. 1-11 978-3-031-86168-0
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105574GB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140108NB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-031-86169-7_1
dc.rights© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectParareal algorithmen
dc.subjectSpace-time parallelizationen
dc.subjectReaction-diffusion systemsen
dc.subjectPattern formation modelsen
dc.titleSpace-time parallel parareal algorithms for pattern formation modelsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication92e469b3-1f37-40ea-b002-628bb00fbc74
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relation.isAuthorOfPublication.latestForDiscovery68a3d75a-9c79-47d2-838f-8ca8ed90ecbb

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