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Numerical Solution for Fuzzy Enzyme Kinetic Equations by the Runge–Kutta Method
2018
Mathematical and Computational Applications
One of the most important biochemical reactions is catalyzed by enzymes. A numerical method to solve nonlinear equations of enzyme kinetics, known as the Michaelis and Menten equations, together with fuzzy initial values is introduced. The numerical method is based on the fourth order Runge-Kutta method, which is generalized for a fuzzy system of differential equations. The convergence and stability of the method are also presented. The capability of the method in fuzzy enzyme kinetics is demonstrated by some numerical examples.
doi:10.3390/mca23010016
fatcat:dij25nqmxvb5rdly3667gu6hcm