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ABSTRACT This paper contains a computational approximation for the solution of a forwardbackward differential equation that models nerve conduction in a myelinated axon. We look for a solution of an equation defined in R, which tends to known values at ±∞. Extending the approach introduced in [5, 10, 6] for linear case, a numerical method for the solution of problem, is adapted to non linear case using a continuation method 1. 
KEYWORDS Mixedtype functional differential equations, Non linear Boundary Value Problem, Nerve Conduction, Collocation, Continuation Method, Numerical Approximation, Method of Steps. 
REFERENCES [1] K.A. Abell, C.E. Elmer, A.R. Humphries, E.S. VanVleck, Computation of mixed type functional differential boundary value problems, SIADS  Siam J App Dyn Syst 4, 3, 2005, pp. 755781. [1] K.A. Abell, C.E. Elmer, A.R. Humphries, E.S. VanVleck, Computation of mixed type functional differential boundary value problems, SIADS  Siam J App Dyn Syst 4, 3, 2005, pp. 755781. 
Cite this paper M. Filomena Teodoro. (2016) Numerical Approach of a Nonlinear Forwardbackward Equation. International Journal of Mathematical and Computational Methods, 1, 7578 
