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A novel method to investigate nonlinear advection-diffusion processes

dc.contributor.authorCosgun, Tahir
dc.contributor.authorSari, Murat
dc.date.accessioned2026-06-27T14:50:16Z
dc.date.issued2023
dc.description.abstractIn this study, a new approach called the reversed fixed point iteration method (RFPIM) is implemented to solve a class of fundamental partial differential equations, namely viscous and inviscid Burgers equations. The results confirm that the current method has the potential to effectively solve problems governed by nonlinear PDEs representing the phenomena of advection and diffusion. Derivations reveal that even in challenging situations such as advection dominance, the RFPIM is highly capable of capturing the natural behaviour of the problem under study. Another important finding, depending on the considered problem, is that the RFPIM can allow the use of relatively large time steps. This feature is of great importance in reducing the storage burden and CPU time for the computational society. The observations reveal that the current approach leads to a significant improvement in the understanding of inverse problems and inverse optimal control problems. (c) 2023 Elsevier B.V. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.cam.2023.115057
dc.identifier.doi10.1016/j.cam.2023.115057
dc.identifier.eissn1879-1778
dc.identifier.issn0377-0427
dc.identifier.urihttps://hdl.handle.net/20.500.14981/65398
dc.identifier.volume425
dc.identifier.wos000996447300001
dc.language.isoeng
dc.publisherELSEVIER
dc.relation.ispartofJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
dc.subjectReversed fixed point iteration method
dc.subjectBurgers equation
dc.subjectInverse problem
dc.subjectInitial data identification
dc.subjectOptimal control
dc.subjectFINITE-DIFFERENCE SCHEMES
dc.subjectBURGERS-EQUATION
dc.subjectOPTIMIZATION
dc.subjectMathematics
dc.titleA novel method to investigate nonlinear advection-diffusion processes
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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