Parallel Block Methods for Solving Ordinary Differential Equations
In this thesis, new and efficient codes are developed for solving Initial Value Problems (IVPs) of first and higher order Ordinary Differential Equations (ODEs) using variable step size. The new codes are based on the implicit multistep block methods formulae. Subsequently, a more structured and...
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| 主要作者: | |
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| 格式: | Thesis |
| 语言: | English English |
| 出版: |
2004
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| 主题: | |
| 在线阅读: | http://psasir.upm.edu.my/id/eprint/6349/1/FSAS_2004_20.pdf |
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| 总结: | In this thesis, new and efficient codes are developed for solving Initial Value Problems
(IVPs) of first and higher order Ordinary Differential Equations (ODEs) using variable
step size. The new codes are based on the implicit multistep block methods formulae.
Subsequently, a more structured and efficient algorithm comprising the block methods
was constructed for solving systems of first order ODEs using variable step size and
order.
The new codes were then used for the parallel implementation in solving large systems of
first and higher order ODEs. The sequential programs of these methods were executed on
DYNIXlptx operating system. The parallel programs were run on a Sequent Symmetry
SE30 parallel computer.The Cq stability in the multistep method was introduced and the focused was on the error
propagation from a more practical angle.
The numerical results showed that the sequential implementation of the new codes could
reduce the total number of steps and execution times even when solving small systems of
first and higher order ODEs compared with the 1-point method and the existing 2PBVSO
code in Omar (1 999).
The parallel implementation of the codes was found to be most appropriate in solving
large systems of first and higher order ODEs. It was also discovered that the maximum
speed up of the parallel methods improved as the dimension of the ODEs systems
increased.
In conclusion, the new codes developed in this thesis are suitable for solving systems of
first and higher order ODEs |
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