15 research outputs found
Numerical Treatment of Non-Linear singular pertubation problems
Magister Scientiae - MScThis thesis deals with the design and implementation of some novel numerical methods for non-linear singular pertubations problems (NSPPs). It provide a survey of asymptotic and numerical methods for some NSPPs in the past decade. By considering two test problems, rigorous asymptotic analysis is carried out. Based on this analysis, suitable numerical methods are designed, analyzed and implemented in order to have some relevant results of physical importance. Since the asymptotic analysis provides only qualitative information, the focus is more on the numerical analysis of the problem which provides the quantitative information.South Afric
Robust numerical methods to solve differential equations arising in cancer modeling
Philosophiae Doctor - PhDCancer 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
A fitted operator method for a model arising in vascular tumor dynamics
In this paper, we consider a model for the population kinetics of human tumor cells in vitro, differentiated
by phases of the cell division cycle and length of time within each phase. Since it is not easy to isolate the
effects of cancer treatment on the cell cycle of human cancer lines, during the process of radiotherapy or chemotherapy,
therefore, we include the spatial effects of cells in each phase and analyse the extended model. The extended
model is not easy to solve analytically, because perturbation by cancer therapy causes the flow cytometric profile
to change in relation to one another. Hence, making it difficult for the resulting model to be solved analytically.
Thus, in [16] it is reported that the non-standard schemes are reliable and propagate sharp fronts accurately, even
when the advection, reaction processes are highly dominant and the initial data are not smooth. As a result, we
construct a fitted operator finite difference method (FOFDM) coupled with non-standard finite difference method
(NSFDM) to solve the extended model. The FOFDM and NSFDM are analyzed for convergence and are seen that
they are unconditionally stable and have the accuracy of O(Dt +(Dx)2), where Dt and Dx denote time and space
step-sizes, respectively. Some numerical results confirming theoretical observations are presented
A fitted operator method for tumor cells dynamics in their micro-environment
In this paper, we consider a quasi non-linear reaction-diffusion model designed to mimic tumor cells’
proliferation and migration under the influence of their micro-environment in vitro. Since the model can be used
to generate hypotheses regarding the development of drugs which confine tumor growth, then considering the
composition of the model, we modify the model by incorporating realistic effects which we believe can shed more
light into the original model. We do this by extending the quasi non-linear reaction-diffusion model to a system
of discrete delay quasi non-linear reaction-diffusion model. Thus, we determine the steady states, provide the
conditions for global stability of the steady states by using the method of upper and lower solutions and analyze
the extended model for the existence of Hopf bifurcation and present the conditions for Hopf bifurcation to occur.
Since it is not possible to solve the models analytically, we derive, analyze, implement a fitted operator method
and present our results for the extended model. Our numerical method is analyzed for convergence and we find
that is of second order accuracy. We present our numerical results for both of the models for comparison purposes
Numerical solution for a problem arising in angiogenic signalling
Since the process of angiogenesis is controlled by chemical signals, which stimulate
both repair of damaged blood vessels and formation of new blood vessels, then other chemical
signals known as angiogenesis inhibitors interfere with blood vessels formation. This implies that
the stimulating and inhibiting e ects of these chemical signals are balanced as blood vessels form only
when and where they are needed. Based on this information, an optimal control problem is formulated
and the arising model is a system of coupled non-linear equations with adjoint and transversality
conditions. Since many of the numerical methods often fail to capture these type of models, therefore,
in this paper, we carry out steady state analysis of these models before implementing the numerical
computations. In this paper we analyze and present the numerical estimates as a way of providing
more insight into the postvascular dormant state where stimulator and inhibitor come into balance in
an optimal manner
Efficient numerical method for a model arising in biological stoichiometry of tumor dynamics
In this paper, we extend a system of coupled first order non-linear system of delay differential equations (DDEs) arising in modeling of stoichiometry of tumour dynamics, to a system of diffusion-reaction system of partial delay differential equations (PDDEs). Since tumor cells are further modified by blood supply through the vascularization process, we determine the local uniform steady states of the homogeneous tumour growth model with respect to the vascularization process. We show that the steady states are globally stable, determine the existence of Hopf bifurcation of the homogeneous tumour growth model with respect to the vascularization process. We derive, analyse and implement a fitted operator finite difference method (FOFDM) to solve the extended model. This FOFDM is analyzed for convergence and we observe seen that it has second-order accuracy. Some numerical results confirming theoretical observations are also presented. These results are comparable with those obtained in the literature
Mathematical analysis and numerical simulation of a tumor-host model with chemotherapy application
In this paper, a system of non-linear quasi-parabolic partial differential system, modeling the chemotherapy
application of spatial tumor-host interaction is considered. At some certain parameters, we derive the steady
state of the anti-angiogenic therapy, baseline therapy and anti-cytotoxic therapy models as well as their local stability
condition. We use the method of upper and lower solutions to show that the steady states are globally stable.
Since the system of non-linear quasi-parabolic partial differential cannot be solved analytically, we formulate a
robust numerical scheme based on the semi-fitted finite difference operator. Analysis of the basic properties of
the method shows that it is consistent, stable and convergent. Our numerical results are in agreement with our
theoretical findings.https://doi.org/10.28919/cmbn/386
A fitted numerical method for a model arising in HIV-related cancer-immune system dynamics
The effect of diseases such as cancer and HIV among our societies is evident. Thus, from the mathematical
point of view many models has been developed with the aim to contribute towards understanding the dynamics
of diseases. Therefore, in this paper we believe by extending a system of delay differential equations (DDEs)
model of HIV related cancer-immune system to a system of delay partial differential equations (DPDEs) model of
HIV related cancer-immune dynamics, we can contribute toward understanding the dynamics more clearly. Thus,
we analyse the extended models and use the qualitative features of the extended model to derive, analyse and implement
a fitted operator finite difference method (FOFDM) and present our results. This FOFDM is analyzed for
convergence and it is seen that it has has second-order accuracy. We present some numerical results for some cases
of the the model to illustrate the reliability of our numerical method
Numerical solution for an extended multi-mutation and drug resistance model
Paper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, KenyaIn this study, we extend a model that expresses intrinsic drug resistances to include SBS
time required for mutation rate to take place and spatial effects of the involved cells.
Furthermore, we show that the local stability condition(s) are (is) global stable. Since it
is not that easy to solve the extended model analytically, we derive, analyze, implement,
present a numerical solution and compare it with the solution of the original model.Department of Mathematics, University of the Western Cape, South Africa
Mathematical analysis and numerical simulation of a tumor-host model with chemotherapy application
In this paper, a system of non-linear quasi-parabolic partial differential system, modeling the chemotherapy application of spatial tumor-host interaction is considered. At some certain parameters, we derive the steady state of the anti-angiogenic therapy, baseline therapy and anti-cytotoxic therapy models as well as their local stability condition. We use the method of upper and lower solutions to show that the steady states are globally stable. Since the system of non-linear quasi-parabolic partial differential cannot be solved analytically, we formulate a robust numerical scheme based on the semi-fitted finite difference operator. Analysis of the basic properties of the method shows that it is consistent, stable and convergent. Our numerical results are in agreement with our theoretical findings