Abstract
Second order differential equation play a prominent role in many disciplines including engineering, physics, economics, and biology. Theoretically, solving second order differential equation is to reduce it to first order and zero order differential equation which lead to laborious work of calculation. To overcome this problem, researcher tends to use numerical method. Therefore, this research present Second Order (Modified Euler, Improved Euler), Fourth Order (Classical, Butcher-Johnson) and Sixth Order (Butcher-1, Butcher-2) Runge Kutta for solving differential equation problem numerically. To determine the most efficient numerical method, the numerical solutions are compared with the theoretical solutions in terms of accuracy and CPU time with different step sizes.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Abdul Kadir, Khalidatunnur Fadhilah 2016299178 Abdul Ghafar, Nurul Ilyana 2016299248 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohd Ali, Mohd Rivaie UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Analysis > Differential equations. Runge-Kutta formulas Q Science > QA Mathematics > Analysis > Difference equations. Functional equations. Delay differential equations. Integral equations Q Science > QC Physics > Mathematical physics > Finite element method |
Divisions: | Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Computational Mathematics |
Keywords: | Differential Equation ; Numerical Method ; Runge Kutta |
Date: | July 2019 |
URI: | https://ir.uitm.edu.my/id/eprint/40225 |
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