The numerical solution of Burger's equation is of great importance due to the equation's application in the approximate theory of flow through a shock wave travelling in a viscous fluid [8] and in the Burger's model of turbulence [4]. It is solved analytically for arbitrary initial conditions [24]. Finite element methods have been applied to fluid problems, Galerkin and Petrov–Galerkin finite element methods involving a time-dependent grid [6] and [21]. Numerical solution using cubic spline global trial functions were developed in [31] to obtain two systems or diagonally dominant equations which are solved to determine the evolution of the system. A collocation solution with cubic spline interpolation functions used to produce three coupled sets of equations for the dependent variable and its two first derivatives [5]. Ali et al. [3] applied B-spline finite element methods to the solution of Burger's equation. The B-spline finite element approach applied with collocation method over a constant grid of cubic B-spline elements. Cubic B-spline had a resulting matrix system which is tri-diagonal and so solved by the Thomas algorithm. Soliman [33] used the similarity reductions for the partial differential equations to develop a scheme for solving the Burger's equation. This scheme is based on similarity reductions of Burger's equation on small sub-domains. The resulting similarity equation is integrated analytically. The analytical solution is then used to approximate the flux vector in Burger's equation.