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Faculty of Natural and Agricultural Sciences
School of Mathematical Sciences
Department of Mathematics and Applied Mathematics

Lubuma, JM-S

MSc PhD (Univ of Louvain Belgium) - Professor and Head

NRF Rating: B2

Contact Details

Research Interests

Research Output

Contact Details:

Telephone number: 012 420 2222
Fax number: 012 420 3893
E-mail address: jean.lubuma@up.ac.za

Research Interests:

Partial differential equations, their numerical analysis and mathematical modelling

Research Output:

Research articles in refereed specialist journals:

Lubuma JM-S, Patidar KC: 2009. Towards the implementation of the singular function method for singular perturbation problems. Applied Mathematics and Computation, 209, pp 68-74.

Anguelov R, Lubuma JM-S, Minani F: 2009. A monotone scheme for Hamilton-Jacobi equations via the nonstandard finite difference method. Mathematical Methods in the Applied Sciences, In http://www3.interscience.wiley.com/journal/122283061/abstract, 33 (1) / Apr, pp 41-48, Full Text

Lubuma JM-S, Patidar KC: 2009. Reliable finite element methods for self-adjoint singular perturbation problems. Quaestiones Mathematicae, 32, pp 397-413, Full Text

Papers in refereed, published conference proceedings:

Anguelov R, Lubuma JM-S, Shillor M: 2009. Dynamically consistent nonstandard finite difference schemes for continous dynamical systems. In Dynamical systems and differential equations. Proceedings of the 7th AIMS Conference (Arlington, Texas, USA). Special volume on discrete and continuous dynamical systems - Supplement 2009, American Institute of Mathematical Sciences, pp 34-43.

Anguelov R, Dumont Y, Lubuma JM-S, Shillor M: 2009. Comparison of some standard and non-standard numerical methods for the MSEIR epidemiological model. In Proceedings of the International Conference on Numerical Analysis and Applied Mathematics, (ICNAAM 2009), Volume 2, American Institute of Physics, pp 1209-1212.

Anguelov R, Dumont Y, Lubuma JM-S, Shillor M: 2009. Dynamically consistent non-standard finite difference schemes for the MSEIR epidemiological model. In Proceedings of the International Conference on Numerical Analysis and Applied Mathematics, (ICNAAM 2009), Volume 2, American Institute of Physics, pp 1213-1216.

 

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