Runge kutta methods for fuzzy differetial equations

dc.contributor.author	Παλιγγίνης, Σ.	el
dc.contributor.author	Παπαγεωργίου, Γεώργιος	el
dc.contributor.author	Φαμέλης, Ιωάννης Θ.	el
dc.date.accessioned	2015-02-14T10:10:05Z
dc.date.available	2015-02-14T10:10:05Z
dc.date.issued	2015-02-14
dc.identifier.uri	http://hdl.handle.net/11400/6201
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.elsevier.com	en
dc.subject	Fuzzy numbers
dc.subject	Numerical solution
dc.subject	Ασαφής αριθμοί
dc.subject	Αριθμητική λύση
dc.title	Runge kutta methods for fuzzy differetial equations	en
heal.type	journalArticle
heal.generalDescription	Special Issue International Conference on Computational Methods in Sciences and Engineering 2005	en
heal.classification	Mathematics
heal.classification	Applied mathematics
heal.classification	Μαθηματικά
heal.classification	Εφαρμοσμένα μαθηματικά
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85082139
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh93002523
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Εφαρμοσμένα μαθηματικά
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85052626
heal.identifier.secondary	doi:10.1016/j.amc.2008.06.017
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Ηλεκτρονικών Μηχανικών Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Palligkinis, S., Papageorgiou, G. and Famelis, I. (March 2009). Runge kutta methods for fuzzy differetial equations. Applied Mathematics and Computation. 209(1). pp. 97-105. Elsevier Science Ltd: 2009. Available from: http://www.sciencedirect.com [Accessed 14/06/2008]	en
heal.abstract	Fuzzy differential equations (FDEs) generalize the concept of crisp initial value problems. In this article, we deal with the numerical solution of FDEs. The notion of convergence of a numerical method is defined and a category of problems which is more general than the one already found in the numerical analysis literature is solved. Efficient s-stage Runge–Kutta methods are used for the numerical solution of these problems and the convergence of the methods is proved. Several examples comparing these methods with the previously developed Euler method are displayed.	en
heal.publisher	Elsevier Science Ltd	en
heal.journalName	Applied Mathematics and Computation	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true