Abstract
Numerical methods are an alternative to theoretical methods that can be used to solve complicated integration problem. This numerical method is often used when theoretical methods are difficult to implement. Some numerical method for solving integration problems include Trapezoidal method, Simpson’s 1/3 method, Simpson’s 3/8 method, and Trapezium-corrected Simpson’s Method (TCSM). These numerical methods could be extended to solve double integration problems. This study aims to investigate the behaviour of these numerical methods in solving double integration problems. The performance for each numerical method is analysed based on percentage of relative errors. The result showed that Simpson’s 1/3 is the best method for solving double integration problems.
Metadata
| Item Type: | Student Project |
|---|---|
| Creators: | Creators Email / ID Num. Abd Rouf, Ainul Farah Nabila 2023399639 |
| Contributors: | Contribution Name Email / ID Num. Advisor Mohd Ali, Mohd Rivaie rivaie75@uitm.edu.my |
| Subjects: | Q Science > QA Mathematics > Numerical simulation. Monte Carlo method |
| Divisions: | Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences |
| Programme: | Bachelor of Science (Hons.) Mathematical Modelling and Analytics |
| Keywords: | Numerical methods, Solving double integration problems |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/134442 |
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