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dc.contributor.authorNicaise, S.en
dc.contributor.authorXenophontos, Christos A.en
dc.creatorNicaise, S.en
dc.creatorXenophontos, Christos A.en
dc.date.accessioned2019-12-02T10:37:08Z
dc.date.available2019-12-02T10:37:08Z
dc.date.issued2017
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57327
dc.description.abstractWe perform the analysis of the hp finite element approximation for the solution to singularly perturbed transmission problems, using Spectral Boundary Layer Meshes. In [12] it was shown that this method yields robust exponential convergence, as the degree p of the approximating polynomials is increased, when the error is measured in the energy norm associated with the boundary value problem. In the present article we sharpen the result by showing that the Zip-Finite Element Method (FEM) on Spectral Boundary Layer Meshes leads to robust exponential convergence in a stronger, more balanced norm. Several numerical results illustrating and extending the theory are also presented. Copyright 2017 by AMSS, Chinese Academy of Science.en
dc.sourceJournal of Computational Mathematicsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85017286761&doi=10.4208%2fjcm.1607-m2014-0187&partnerID=40&md5=19b55f58e91b57f06e752a8f2c4ef3bf
dc.subjectBoundary layersen
dc.subjectBalanced normen
dc.subjectExponential convergenceen
dc.subjectHp-FEMen
dc.subjectInterface layersen
dc.subjectSingularly perturbed transmission problemen
dc.titleAn hp-fem for singularly perturbed transmission problemsen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.4208/jcm.1607-m2014-0187
dc.description.volume35
dc.description.issue2
dc.description.startingpage152
dc.description.endingpage168
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.source.abbreviationJ.Comput.Math.en
dc.contributor.orcidXenophontos, Christos A. [0000-0003-0862-3977]
dc.gnosis.orcid0000-0003-0862-3977


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