Numerical methods for optimal control and parameter estimation in the life sciences
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Jesse Sharp Thesis
(PDF 21MB)
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
This thesis concerns numerical methods in mathematical optimisation and inference; with a focus on techniques for optimal control, and for parameter estimation and uncertainty quantification. Novel methodological and computational developments are presented, with a view to improving the efficiency, effectiveness and accessibility of these techniques for practitioners. The numerical methods considered in this work are widely applied throughout the life sciences; in areas including ecology, epidemiology and oncology, and beyond the life sciences; in engineering, economics, aeronautics and other disciplines.
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| ID Code: | 230762 |
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| Item Type: | QUT Thesis (PhD by Publication) |
| Supervisor: | Simpson, Matthew & Burrage, Kevin |
| Keywords: | Optimal control, Systems biology, Numerical methods, Forward-backward sweep method, Information geometry, Uncertainty quantification, Acute myeloid leukaemia, Chemotherapy, Convergence acceleration, Pontryagin Maximum Principle |
| DOI: | 10.5204/thesis.eprints.230762 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Mathematical Sciences |
| Institution: | Queensland University of Technology |
| Deposited On: | 08 Jun 2022 04:41 |
| Last Modified: | 04 Jan 2024 07:15 |
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