The Extended Block Predictor-Block Corrector Method for Computing Fuzzy Differential Equations

dc.creatorOghonyon, J. G., Egharevba, M. E., Imaga, O. F.
dc.date2023
dc.date.accessioned2025-04-08T08:51:12Z
dc.descriptionOver the years, scholars have developed predictor-corrector method to provide estimates for ordinary differential equations (ODEs). Predictor-corrector methods have been reduced to predicting-correcting method with no concern for finding the convergence-criteria for each loop with no suitable vary step size in order to maximize error. This study aim to consider computing fuzzy differential equations employing the extended block predictorblock corrector method (EBP-BCM). The method of interpolation and collocation combined with multinomial power series as the basis function approximation will used. The principal local truncation errors of the block predictor-block corrector method will be utilized to bring forth the convergence criteria to ensure speedy convergence of each iteration thereby maximizing error(s). Thus, these findings will reveal the ability of this technique to speed up the rate of convergence as a result of variegating the step size and to ensure error control. Some examples will solve to showcase the efficiency and accuracy of this technique.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/16228/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/46029
dc.languageen
dc.subjectQA Mathematics
dc.titleThe Extended Block Predictor-Block Corrector Method for Computing Fuzzy Differential Equations
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
J52.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format

Collections