Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262

Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differenti...

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Main Authors: Rosli, Norhayati, Bahar, Arifah, Yeak Su, Hoe, Abd.Rahman, Haliza, Mohd Aziz, Mohd Khairul Bazli, Md.Salleh, Madihah
Format: Book Section
Published: Malaysia Institute Of Statistics 2009
Subjects:
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author Rosli, Norhayati
Bahar, Arifah
Yeak Su, Hoe
Abd.Rahman, Haliza
Mohd Aziz, Mohd Khairul Bazli
Md.Salleh, Madihah
author_facet Rosli, Norhayati
Bahar, Arifah
Yeak Su, Hoe
Abd.Rahman, Haliza
Mohd Aziz, Mohd Khairul Bazli
Md.Salleh, Madihah
author_sort Rosli, Norhayati
collection ePrints
description Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production.
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institution Universiti Teknologi Malaysia - ePrints
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spelling utm.eprints-129962011-07-12T01:14:07Z http://eprints.utm.my/12996/ Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262 Rosli, Norhayati Bahar, Arifah Yeak Su, Hoe Abd.Rahman, Haliza Mohd Aziz, Mohd Khairul Bazli Md.Salleh, Madihah Q Science (General) Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production. Malaysia Institute Of Statistics 2009 Book Section PeerReviewed Rosli, Norhayati and Bahar, Arifah and Yeak Su, Hoe and Abd.Rahman, Haliza and Mohd Aziz, Mohd Khairul Bazli and Md.Salleh, Madihah (2009) Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262. In: Proceedings of the Regional Conference on Statistical Sciences 2010 (RCSS’10). Malaysia Institute Of Statistics, Shah Alam, Selangor, pp. 10-20. ISBN 978-967-363-157-5
spellingShingle Q Science (General)
Rosli, Norhayati
Bahar, Arifah
Yeak Su, Hoe
Abd.Rahman, Haliza
Mohd Aziz, Mohd Khairul Bazli
Md.Salleh, Madihah
Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262
title Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262
title_full Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262
title_fullStr Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262
title_full_unstemmed Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262
title_short Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262
title_sort stochastic model of gelatinised sago starch to solvent production by c acetobutylicum p262
topic Q Science (General)
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