On the simple iteration method for non-linear ordinary differential equations

Simple item page
dc.contributor.authorMotsa, Sandile S.
dc.contributor.authorMagagula, Vusi M.
dc.date.accessioned2021-05-10T10:20:32Z
dc.date.available2021-05-10T10:20:32Z
dc.date.issued2017
dc.descriptionPaper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya.en_US
dc.description.abstractThis paper presents a new iterative approach for solving non-linear differential equations with fluid mechanics applications. The proposed method, called Simple Iteration Method (SIM), is based on the formulation of an iteration scheme using ideas imported from fixed point iteration method. An advantage of the proposed method is that convergence is guaranteed for non-linear differential equations with polynomial non-linearity, such as those that model some fluid flows. The method does not employ linearisation and thus avoids errors associated with truncating series expansions. The applicability, effectiveness and validity of the SIM has been demonstrated on several examples of well-known fluid flow model equations. Accuracy and convergence analysis has also been conducted in this work. Mathematics Subject Classification (2010). 80M22 (primary), 78M22 (secondary).en_US
dc.identifier.urihttp://hdl.handle.net/11071/10502
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectSimple iteration methoden_US
dc.subjectSpectral methodsen_US
dc.subjectCollocationen_US
dc.subjectFluid mechanicsen_US
dc.titleOn the simple iteration method for non-linear ordinary differential equationsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
On the simple iteration method for non-linear ordinary differential equations.pdf
Size:
4.63 KB
Format:
Adobe Portable Document Format
Description:
Abstract - SIMC Conference paper, 2017
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
SIMC 2017