Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin
Runge-Kutta (RK) method can be used to solve first order ordinary differential equation problem in the form of numerical method. Recently, researchers have developed many versions of Runge-Kutta method to increase its accuracy and efficiency. In this research, fourth order adaptive Runge-Kutta metho...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/40034/1/40034.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.40034 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.400342021-01-04T00:52:07Z Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin 2020-01 Hazlin, Syauqina Nadia Equations Mathematical statistics. Probabilities Differential equations. Runge-Kutta formulas Analytical methods used in the solution of physical problems Runge-Kutta (RK) method can be used to solve first order ordinary differential equation problem in the form of numerical method. Recently, researchers have developed many versions of Runge-Kutta method to increase its accuracy and efficiency. In this research, fourth order adaptive Runge-Kutta methods of Bogacki- Shampine, Cash-Karp, Runge-Kutta of Order Four and Runge-Kutta Fehlberg are used to solve six different first order ordinary differential equation problems using different step size and final solution point. The numerical results are compared with theoretical solution in order to obtain accuracy and to determine the best method based on error and central processing unit (CPU) time. 2020-01 Thesis https://ir.uitm.edu.my/id/eprint/40034/ https://ir.uitm.edu.my/id/eprint/40034/1/40034.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Mohd Ali, Mohd Rivaie |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Mohd Ali, Mohd Rivaie |
topic |
Equations Equations Equations Analytical methods used in the solution of physical problems |
spellingShingle |
Equations Equations Equations Analytical methods used in the solution of physical problems Hazlin, Syauqina Nadia Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin |
description |
Runge-Kutta (RK) method can be used to solve first order ordinary differential equation problem in the form of numerical method. Recently, researchers have developed many versions of Runge-Kutta method to increase its accuracy and efficiency. In this research, fourth order adaptive Runge-Kutta methods of Bogacki- Shampine, Cash-Karp, Runge-Kutta of Order Four and Runge-Kutta Fehlberg are used to solve six different first order ordinary differential equation problems using different step size and final solution point. The numerical results are compared with theoretical solution in order to obtain accuracy and to determine the best method based on error and central processing unit (CPU) time. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Hazlin, Syauqina Nadia |
author_facet |
Hazlin, Syauqina Nadia |
author_sort |
Hazlin, Syauqina Nadia |
title |
Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin |
title_short |
Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin |
title_full |
Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin |
title_fullStr |
Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin |
title_full_unstemmed |
Solving first order ordinary differential equation using adaptive Runge-Kutta method / Syauqina Nadia Hazlin |
title_sort |
solving first order ordinary differential equation using adaptive runge-kutta method / syauqina nadia hazlin |
granting_institution |
Universiti Teknologi MARA |
granting_department |
Faculty of Computer and Mathematical Sciences |
publishDate |
2020 |
url |
https://ir.uitm.edu.my/id/eprint/40034/1/40034.pdf |
_version_ |
1783734554732789760 |