Interval wise block partitioning using three points for solving stiff systems ordinary differential equations / Mahfuzah Mahayadin

Mahayadin, Mahfuzah (2014) Interval wise block partitioning using three points for solving stiff systems ordinary differential equations / Mahfuzah Mahayadin. Masters thesis, Universiti Teknologi MARA.

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Abstract

Partitioning is a strategy for solving stiff systems of ordinary differential equations (ODEs) problems. There are two types of partitioning; intervalwise and componentwise partitioning. This thesis is focused only on intervalwise block partitioning (IBP) which the system of equations will initially be treated as non-stiff subsystem and will be solved using Adams block method. Once an equation is identified as stiff, the whole system will be treated as stiff and will be solved using block Backward Differentiation Formulae (BBDF). This process will continue until the integration interval is completed. In addition, variable step size BBDF (VSBBDF) method using three points is derived in order to solve first order stiff ODEs. The partitioning strategy involved is based on Adams method formulae and VSBBDF formulae. A single code is developed based on variable step size IBP. The code is implemented using Microsoft Visual C++ 6.0 XP Version and compared with odelSs and ode23s which are run in MATLAB 7.8. The numerical results have shown that the partitioning strategy has performed well in term of computational time compared to VSBBDF and MATLAB ode solvers, odeISs and ode23s. It shows that them partitioning strategy can be an alternative method to solve first order stiff ODEs

Item Type: Thesis (Masters)
Creators:
CreatorsEmail
Mahayadin, MahfuzahUNSPECIFIED
Subjects: Q Science > QA Mathematics > Algebra > Permutations. Combinations. Partitions
Divisions: Faculty of Computer and Mathematical Sciences
Item ID: 14000
Uncontrolled Keywords: Partitioning, ordinary differential equations, intervalwise block partitioning, block Backward Differentiation Formulae
Last Modified: 16 Jun 2016 01:31
Depositing User: Staf Pendigitalan 2
URI: http://ir.uitm.edu.my/id/eprint/14000

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