An application of Least Square method and Steepest Descent method for solving second order differential equation / Nurun Najwa Mohd Faizail
Ordinary differential equations (ODE) are one of the important and widely used techniques in mathematical modelling. This method requires finding the solution theoretically. However, some of the theoretical method uses to find the solutions are extremely complicated. Least Square method is one of th...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://ir.uitm.edu.my/id/eprint/39976/1/39976.pdf |
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| 總結: | Ordinary differential equations (ODE) are one of the important and widely used techniques in mathematical modelling. This method requires finding the solution theoretically. However, some of the theoretical method uses to find the solutions are extremely complicated. Least Square method is one of the numerical methods that can be used for finding an approximation for the solution of ODE without solving it theoretically. However, this method requires finding the inverse of matrix which sometime does not exist for a singular matrix. Thus, to avoid this problem Steepest Descent method is used together with Least Square method. This research analyses the efficiency of least square method and Steepest Descent method for the approximation of ODE solution numerically compared to the theoretical solution. Result shows that the numerical solution approximation is comparable to the theoretical solution without finding the true solution. |
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