Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Analytical Solution of System of Volterra Integral Equations Using OHAM

dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorNawaz, Rashid
dc.contributor.authorAhsan, Sumbal
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorNisar, Kottakkaran Sooppy
dc.contributor.authorID56389tr_TR
dc.date.accessioned2022-03-22T10:41:32Z
dc.date.available2022-03-22T10:41:32Z
dc.date.issued2020
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn this work, a reliable technique is used for the solution of a system of Volterra integral equations (VIEs), called optimal homotopy asymptotic method (OHAM). The proposed technique is successfully applied for the solution of different problems, and comparison is made with the relaxed Monto Carlo method (RMCM) and hat basis function method (HBFM). The comparisons show that the present technique is more suitable and reliable for the solution of a system of VIEs. The presented technique uses auxiliary function containing auxiliary constants, which control the convergence. Moreover, OHAM does not require discretization like other numerical methods and is also free from small or large parameter.en_US
dc.description.publishedMonth12
dc.identifier.citationAkbar, Muhammad...et al. (2020). "Analytical Solution of System of Volterra Integral Equations Using OHAM", Journal of Mathematics, Vol. 2020.en_US
dc.identifier.doi10.1155/2020/8845491
dc.identifier.urihttps://hdl.handle.net/20.500.12416/5154
dc.identifier.volume2020en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Mathematicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAnalytical Solution of System of Volterra Integral Equations Using OHAMtr_TR
dc.titleAnalytical Solution of System of Volterra Integral Equations Using Ohamen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Article.pdf
Size:
1.23 MB
Format:
Adobe Portable Document Format
Description:
Yayıncı sürümü

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: