Show simple item record

Numerical Methods for Stochastic Allen-Cahn Equation and Stochastic Subdiffusion and Superdiffusion

dc.contributor.advisorYan, Yubin
dc.contributor.advisorAntonopoulou, Dimitra
dc.contributor.authorEgwu, Bernard A.
dc.date.accessioned2023-10-04T15:03:44Z
dc.date.available2023-10-04T15:03:44Z
dc.date.issued2023-04
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/628133/BERNARD%20ANUGA%20EGWU%27S%20THESIS.pdf?sequence=1
dc.identifier.citationEgwu, B. A. (2023). Numerical methods for Stochastic Allen-Cahn Equation and Stochastic Subdiffusion and Superdiffusion [Unpublished doctoral thesis]. University of Chester.en_US
dc.identifier.urihttp://hdl.handle.net/10034/628133
dc.description.abstractIn this Thesis, we consider the numerical solution of stochastic partial differential equations with particular interest on the Ɛ-dependent Allen-Cahn equation, and the stochastic time fractional partial differential equations in both subdiffusion and superdiffusion cases.en_US
dc.language.isoenen_US
dc.publisherUniversity of Chesteren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSubdiffusionen_US
dc.subjectSuperdiffusionen_US
dc.titleNumerical Methods for Stochastic Allen-Cahn Equation and Stochastic Subdiffusion and Superdiffusionen_US
dc.typeThesis or dissertationen_US
dc.rights.embargodate2023-10-05
dc.type.qualificationnamePhDen_US
dc.rights.embargoreasonAwaiting Awards Boarden_US
dc.type.qualificationlevelDoctoralen_US
dc.rights.usageThe full-text may be used and/or reproduced in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-profit purposes provided that: - A full bibliographic reference is made to the original source - A link is made to the metadata record in ChesterRep - The full-text is not changed in any way - The full-text must not be sold in any format or medium without the formal permission of the copyright holders. - For more information please email researchsupport.lis@chester.ac.uken_US


Files in this item

Thumbnail
Name:
BERNARD ANUGA EGWU'S THESIS.pdf
Size:
1.999Mb
Format:
PDF
Request:
Thesis
Download

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International