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Fluctuation Suppression to Optimize Initial Data to Increase the Quality of Truncation Approximants in Probabilistic Evolution Approach for ODEs: Basic Philosophy

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dc.contributor.authorsOkan, Ayla; Baykara, N. A.; Demiralp, Metin
dc.contributor.editorSimos, TE
dc.contributor.editorPsihoyios, G
dc.contributor.editorTsitouras, C
dc.contributor.editorAnastassi, Z
dc.date.accessioned2022-03-12T16:13:51Z
dc.date.accessioned2026-01-11T14:14:15Z
dc.date.available2022-03-12T16:13:51Z
dc.date.issued2012
dc.description.abstractThis work focuses on initial fluctuation optimization on truncation approximants of Probabilistic Evolution for Ordinary Differential Equations (ODEs). Probabilistic Evolution Approach (PEA) is a new method which is proposed by Metin Demiralp and his group (Group of Science and Methods of Computing). This approximation enables us to convert nonlinear differential equations to linear ones.
dc.identifier.doi10.1063/1.4756582
dc.identifier.isbn978-0-7354-1091-6
dc.identifier.issn0094-243X
dc.identifier.urihttps://hdl.handle.net/11424/225118
dc.identifier.wosWOS:000310698100472
dc.language.isoeng
dc.publisherAMER INST PHYSICS
dc.relation.ispartofNUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2012), VOLS A AND B
dc.relation.ispartofseriesAIP Conference Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFluctuation Optimization
dc.subjectTruncation
dc.subjectProbabilistic Evolution
dc.subjectProbabilistic Evolution Approach (PEA)
dc.subjectEvolution Matrix
dc.subjectOrdinary Differential Equation (ODE)
dc.titleFluctuation Suppression to Optimize Initial Data to Increase the Quality of Truncation Approximants in Probabilistic Evolution Approach for ODEs: Basic Philosophy
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage2010
oaire.citation.startPage2007
oaire.citation.titleNUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2012), VOLS A AND B
oaire.citation.volume1479

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