Abstract
Most issues in the engineering and science field can be in the form of ordinary differential equations. Besides, the solution of ordinary differential equations problem can be solved both in theoretical and numerical methods. The theoretical method is recognized to have their difficulty in solving ordinary differential equations problems whereas this method requires a large amount of laborious work and it is complicated. Therefore, the numerical method is preferable to be used such as Euler methods. Euler method is broadly used by many researchers for solving ordinary differential equations in initial value problems. Some methods to be used to solve ordinary differential equations are the Euler method (EM), Modified Euler method (ME), Improved Euler method (IE), Improved Modified Euler method (IME), and Modified Improved Modified Euler method (MIME). The exponential population of the growth model also been solved numerically by using the Euler method. The purpose of this research is to identify which method is most efficient based on its errors. The results of the numerical solutions are compared with analytic solutions. The result shows that MIME offers better approximation compares to other methods.
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Sariman, Nur Aina 2016289514 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Razali, Noor Khairiah UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Mathematical statistics. Probabilities Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms |
Divisions: | Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Computational Mathematics |
Keywords: | Euler method ; Modified Euler method ; Modified Improved Modified Euler method ; Improved Euler method |
Date: | January 2020 |
URI: | https://ir.uitm.edu.my/id/eprint/41084 |
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