Browsing Department of Chemical and Biological Engineering by Subject "Numerical analysis"
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A Comparative Analysis of Numerical Methods for Solving the Leaky Fire and Integrate Model
(MDPI, 2023)The human nervous system is one of the most complex systems of the human body. Understanding its behavior is crucial in drug discovery and developing medical devices. One approach to understanding such a system is to model ...