Abstract
Cancer epidemiology is the division of epidemiology apprehensive with the disease cancer. It makes use of epidemiological methods to discover the reason for cancer and to recognize and discover advanced treatments. In this paper, we construct and analyze a discrete time mathematical model on lung cancer involving smokers and non smokers. We derive the two equilibrium points namely smoke free and smoke induced equilibrium and analyze the conditions in which the equilibrium points are stable or unstable. We also find the optimality conditions using Pontryagin’s Principle. Finally, we prove our theoretical results using numerical simulations through MATLAB.
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Sebastian, E., Victor, P. (2018). Mathematical Modelling and Optimization of Lung Cancer in Smokers and Non Smokers. In: Ganapathi, G., Subramaniam, A., Graña, M., Balusamy, S., Natarajan, R., Ramanathan, P. (eds) Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation. ICC3 2017. Communications in Computer and Information Science, vol 844. Springer, Singapore. https://doi.org/10.1007/978-981-13-0716-4_17
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DOI: https://doi.org/10.1007/978-981-13-0716-4_17
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