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Formulation of Modified Variable Step Block Backward Differentiation Formulae for Solving Stiff Ordinary Differential Equations


Affiliations
1 School of Distance Education, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
2 Institute for Mathematical Research, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
 

Objectives: A modified variable step block backward differentiation formulae (MVS-BBDF) method is introduced in this paper as another alternative way for solving ordinary differential equations (ODEs). Methods: We demonstrated the detailed formulation of the corrector formulae for MVS-BBDF method which is carried out using Maple software. Then, to validate the performance of the introduced method, we applied it to stiff ODEs problem. Findings: The performance of the method in terms of maximum error and number of total steps taken during the computation are compared with the performance of ode15s and ode23s solver in MATLAB. Consequently, the efficiency of MVS-BBDF shows that it is able to outperform both Matlab’s ODE solver since it produces better accuracy and manages to reduce the number of total step.

Keywords

Backward Differentiation Formulae, Block Backward Differentiation Formulae, Stiff Ordinary Differential Equations.
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  • Formulation of Modified Variable Step Block Backward Differentiation Formulae for Solving Stiff Ordinary Differential Equations

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Authors

Asma Izzati Asnor
School of Distance Education, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
Siti Ainor Mohd Yatim
School of Distance Education, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
Zarina Bibi Ibrahim
Institute for Mathematical Research, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia

Abstract


Objectives: A modified variable step block backward differentiation formulae (MVS-BBDF) method is introduced in this paper as another alternative way for solving ordinary differential equations (ODEs). Methods: We demonstrated the detailed formulation of the corrector formulae for MVS-BBDF method which is carried out using Maple software. Then, to validate the performance of the introduced method, we applied it to stiff ODEs problem. Findings: The performance of the method in terms of maximum error and number of total steps taken during the computation are compared with the performance of ode15s and ode23s solver in MATLAB. Consequently, the efficiency of MVS-BBDF shows that it is able to outperform both Matlab’s ODE solver since it produces better accuracy and manages to reduce the number of total step.

Keywords


Backward Differentiation Formulae, Block Backward Differentiation Formulae, Stiff Ordinary Differential Equations.



DOI: https://doi.org/10.17485/ijst%2F2017%2Fv10i12%2F151867