Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/3610
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMuhammad, Raihanatu-
dc.contributor.authorYahaya, Yusuph Amuda-
dc.contributor.authorIdris, Laminu-
dc.date.accessioned2021-06-18T10:43:42Z-
dc.date.available2021-06-18T10:43:42Z-
dc.date.issued2014-
dc.identifier.citationMuhammad R., Y.A Yahaya and Idris L. (2014) “Derivation and Analysis of block Implicit Hybrid Backward Differentiation Formulae (HBDF) for Stiff problems”, Nigerian Journal of Mathematics and Applications, Vol.23, 49-57en_US
dc.identifier.issn0795-2767-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/3610-
dc.descriptionhttp: // www.kwsman.comen_US
dc.description.abstractThe Hybrid Backward Differentiation Formula (HBDF) for the case k = 3 was reformulated into continuous form using the idea of multistep collocation. The continuous form was evaluated at some grid and off grid points which gave rise to discrete schemes employed as block methods for direct solution of first order Ordinary Differential Equation y^' = f(x; y). The requirement of a starting value and the overlap of solution model which are associated with conventional Linear Multistep Methods were eliminated by this approach. A convergence analysis of the derived hybrid schemes to establish their effec- tiveness and reliability is presented. Numerical example carried out on stiff problem further substantiates their performance.en_US
dc.language.isoenen_US
dc.publisherMathematical Association of Nigeria, Kwara Stateen_US
dc.subjectBackward Differentiation Formula (BDF)en_US
dc.subjectHybriden_US
dc.subjectBlock Methoden_US
dc.subjectImpliciten_US
dc.subjectStiff Problemsen_US
dc.titleDerivation and Analysis of Block Implicit Hybrid Backward Differentiation Formulae (HBDF) for Stiff Problems.en_US
dc.typeArticleen_US
Appears in Collections:Mathematics

Files in This Item:
File Description SizeFormat 
R.MUHD NJMA (2014-23-1-8).pdf246.32 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.