Solving a nonlinear two-point boundary value problem

A two-point boundary value problem (TP-BVP) occurs during the process of solving a single differential equation or a set of differential equations whose solution has to satisfy both the given initial and final boundary conditions. The author shows that zeroing the discrepancy function is the crucial step in solving nonlinear TP-BVPs and uses M.P. Kennedy and L.O. Chua´s (1988) neural network model to solve this problem. The advantages of this approach include its suitability for VLSI implementation