Block backward differentiation formula for solving ordinary and algebraic differential equations

This research focuses on solving semi-explicit index-1 Di®erential Algebraic Equations (DAEs) which is a special case of Di®erential Algebraic Equations (DAEs). Block Backward Di®erentiation Formula (BDF) methods of constant and variable step sizes are considered to produce more than one solutions...

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Main Author: Abasi, Naghmeh
Format: Thesis
Language:English
Published: 2014
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Online Access:http://psasir.upm.edu.my/id/eprint/43112/1/IPM%202014%201R.pdf
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spelling my-upm-ir.431122017-01-25T08:32:15Z Block backward differentiation formula for solving ordinary and algebraic differential equations 2014-01 Abasi, Naghmeh This research focuses on solving semi-explicit index-1 Di®erential Algebraic Equations (DAEs) which is a special case of Di®erential Algebraic Equations (DAEs). Block Backward Di®erentiation Formula (BDF) methods of constant and variable step sizes are considered to produce more than one solutions per step for the DAEs concurrently. A formula of the 2-point with o®-step points using block BDF method of constant step size for solving sti® ODEs is developed. The stability analysis shows that the method is A-stable. The method has competitive results in comparison with the existing block BDF method in terms of accuracy and time. The 2-point, 3-point and 2-point with o®-step points block backward di®erentiation formulae of constant step size are extended for solving semi-explicit index-1 Di®erential Algebraic Equations (DAEs). Newton's iteration is used for the implementation of the methods. It is seen that the block BDF methods applied are more suitable than the existing BDF method in terms of accuracy and the time is competitive. In addition, a 3-point block backward di®erentiation formula using variable step size for solving sti® Ordinary Di®erential Equations (ODEs) is for mulated. The strategy applied for selecting the step size and the stability regions are described. The accuracy of the developed method is seen to be better than the existing variable step block BDF. Solving semi-explicit index-1 DAEs using 2-point and 3-point block backward di®erentiation formula of variable step size are also considered. The strategies involved in the choosing and controlling the step size of both methods are described. The codes developed indicate that the methods have outperformed the existing method in reducing the error while the time is competitive. The numerical results indicate that the block BDF methods of constant and variable step size for solving semi-explicit index-1 DAEs have better accuracy and e±ciency in comparison with the existing constant and variable step BDF methods. Differential-algebraic equations Differential equations 2014-01 Thesis http://psasir.upm.edu.my/id/eprint/43112/ http://psasir.upm.edu.my/id/eprint/43112/1/IPM%202014%201R.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Differential-algebraic equations Differential equations
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
topic Differential-algebraic equations
Differential equations

spellingShingle Differential-algebraic equations
Differential equations

Abasi, Naghmeh
Block backward differentiation formula for solving ordinary and algebraic differential equations
description This research focuses on solving semi-explicit index-1 Di®erential Algebraic Equations (DAEs) which is a special case of Di®erential Algebraic Equations (DAEs). Block Backward Di®erentiation Formula (BDF) methods of constant and variable step sizes are considered to produce more than one solutions per step for the DAEs concurrently. A formula of the 2-point with o®-step points using block BDF method of constant step size for solving sti® ODEs is developed. The stability analysis shows that the method is A-stable. The method has competitive results in comparison with the existing block BDF method in terms of accuracy and time. The 2-point, 3-point and 2-point with o®-step points block backward di®erentiation formulae of constant step size are extended for solving semi-explicit index-1 Di®erential Algebraic Equations (DAEs). Newton's iteration is used for the implementation of the methods. It is seen that the block BDF methods applied are more suitable than the existing BDF method in terms of accuracy and the time is competitive. In addition, a 3-point block backward di®erentiation formula using variable step size for solving sti® Ordinary Di®erential Equations (ODEs) is for mulated. The strategy applied for selecting the step size and the stability regions are described. The accuracy of the developed method is seen to be better than the existing variable step block BDF. Solving semi-explicit index-1 DAEs using 2-point and 3-point block backward di®erentiation formula of variable step size are also considered. The strategies involved in the choosing and controlling the step size of both methods are described. The codes developed indicate that the methods have outperformed the existing method in reducing the error while the time is competitive. The numerical results indicate that the block BDF methods of constant and variable step size for solving semi-explicit index-1 DAEs have better accuracy and e±ciency in comparison with the existing constant and variable step BDF methods.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Abasi, Naghmeh
author_facet Abasi, Naghmeh
author_sort Abasi, Naghmeh
title Block backward differentiation formula for solving ordinary and algebraic differential equations
title_short Block backward differentiation formula for solving ordinary and algebraic differential equations
title_full Block backward differentiation formula for solving ordinary and algebraic differential equations
title_fullStr Block backward differentiation formula for solving ordinary and algebraic differential equations
title_full_unstemmed Block backward differentiation formula for solving ordinary and algebraic differential equations
title_sort block backward differentiation formula for solving ordinary and algebraic differential equations
granting_institution Universiti Putra Malaysia
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/43112/1/IPM%202014%201R.pdf
_version_ 1747811927145316352