A New Analytical Approximate Approach for Non-Linear Initial Value

This thesis presents a new analytical approximate approach for solving non-linear initial value problems using Taylors'' expansion technique. This approach uses derivative components of Taylors'' series expansion as a key in its construction. The new approach gave us analytical solutions for some non-linear problems. Naturally these solutions are in the form of a power series and its coefficients represent to the nonlinear terms (sometime linear and nonlinear) in the NPDE. The effectiveness of this approach is demonstrated through several examples. These examples are Biological Population model equations Zakharov–Kuznetsov equations and system of Burger equations. The new approach leaded to significant improvements both in terms of computational time convergence and accuracy and the computational results were reinforced by the convergence theorems proofs theoretically. The tables and figures of the new analytical approximate solutions show the validity usefulness and importance of the new approach. Moreover we can consider that this approach is a well-developed mathematical tool to solving non-linear partial differential equations comparing with the other existing methods.