LEGEND RE-FITTED LINEAR MULTI-STEP METHODS FOR GENERAL FOURTH ORDER ORDINARY DIFFERENTIAL EQUATIONS

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dc.contributor.author OLAJIDE, Oladapo Amos
dc.date.accessioned 2021-07-05T12:37:20Z
dc.date.available 2021-07-05T12:37:20Z
dc.date.issued 2018-10
dc.identifier.uri http://196.220.128.81:8080/xmlui/handle/123456789/3935
dc.description.abstract In this research, Legendre-fitted Linear Multistep Methods (LLMMs) for general fourth order Ordinary Differential Equations (ODEs) were developed and implemented in predictorcorrector mode. In the derivation, Legendre polynomials was used as the basis function. Collocation and interpolation points are considered at selected grid points. The continuous methods obtained were evaluated at the last grid point of each of the intervals. The resulting systems of equation were solved for the unknown parameters and the values of the unknown parameters were substituted in the approximate solution to obtain the required methods after simplification. The developed methods were tested and found to be consistent, stable and convergent. Accuracy of the methods were compared with the existing methods, and the results showed that it performed better than the existing methods in terms of accuracy. en_US
dc.description.sponsorship FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE en_US
dc.language.iso en en_US
dc.publisher FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE. en_US
dc.subject LEGENDRE-FITTED LINEAR MULTI-STEP METHODS FOR GENERAL FOURTH ORDER ORDINARY DIFFERENTIAL EQUATIONS en_US
dc.subject ORDINARY DIFFERENTIAL EQUATIONS en_US
dc.subject LINEAR MULTI-STEP METHODS en_US
dc.subject ORDINARY DIFFERENTIAL EQUATIONS en_US
dc.title LEGEND RE-FITTED LINEAR MULTI-STEP METHODS FOR GENERAL FOURTH ORDER ORDINARY DIFFERENTIAL EQUATIONS en_US
dc.type Thesis en_US


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