An inverse problem for the absorption of fatty acid
Lai, C.-H. ORCID: https://orcid.org/0000-0002-7558-6398, Hai, Y., George, E. ORCID: https://orcid.org/0000-0001-9011-3970 and Pericleous, K. A. ORCID: https://orcid.org/0000-0002-7426-9999 (2015) An inverse problem for the absorption of fatty acid. Journal of Algorithms and Computational Technology, 9 (1). pp. 27-40. ISSN 1748 3018 (Print), 1748-3026 (Online) (doi:10.1260/1748-3018.9.1.27)
PDF (Publisher PDF)
14692_Lai_An_inverse_problem_(pub_PDF)_2015.pdf - Published Version Restricted to Repository staff only Download (125kB) |
Abstract
The mathematical model of fatty acid kinetics in plasma is considered. The model is based on physiological knowledge and constructed by means of experimental data. In order to estimate the unknown parameters in the model, methods of inverse problems are used with measurements and ordinary differential equations governing the kinetics. Different sets of experimental data were used to establish the unknown parameters in the mathematical model. This enables one to understand the absorption process of nutrients and provide a computational estimation for the absorption rate.
Item Type: | Article |
---|---|
Additional Information: | The journal has changed publisher since 1st January 2016. The new publisher is now SAGE Publishing and the journal website is https://uk.sagepub.com/en-gb/eur/journal-of-algorithms-computational-technology/journal202503 |
Uncontrolled Keywords: | Fatty acid kinetics, Inverse problem, Absorption rate |
Subjects: | Q Science > QH Natural history > QH301 Biology |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science |
Last Modified: | 04 Mar 2022 13:07 |
URI: | http://gala.gre.ac.uk/id/eprint/14692 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year