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TitleRobust numerical methods to solve differential equations arising in cancer modeling
AuthorShikongo, Albert
SubjectCancer modeling
SubjectImmune system
SubjectMathematical biology
SubjectNumerical methods
SubjectCancer
SubjectBiological stoichometry
Date2020-06-01T08:23:56Z
Date2020
AbstractPhilosophiae Doctor - PhD
AbstractCancer is a complex disease that involves a sequence of gene-environment interactions in a progressive process that cannot occur without dysfunction in multiple systems. From a mathematical point of view, the sequence of gene-environment interactions often leads to mathematical models which are hard to solve analytically. Therefore, this thesis focuses on the design and implementation of reliable numerical methods for nonlinear, first order delay differential equations, second order non-linear time-dependent parabolic partial (integro) differential problems and optimal control problems arising in cancer modeling. The development of cancer modeling is necessitated by the lack of reliable numerical methods, to solve the models arising in the dynamics of this dreadful disease. Our focus is on chemotherapy, biological stoichometry, double infections, micro-environment, vascular and angiogenic signalling dynamics. Therefore, because the existing standard numerical methods fail to capture the solution due to the behaviors of the underlying dynamics. Analysis of the qualitative features of the models with mathematical tools gives clear qualitative descriptions of the dynamics of models which gives a deeper insight of the problems. Hence, enabling us to derive robust numerical methods to solve such models.
Abstract2021-04-30
PublisherUniversity of the Western Cape
Identifierhttp://hdl.handle.net/11394/7250