The solution and analysis of Kuramoto–Sivashinsky equation by cubic Hermite collocation method is performed and a bound for maximum norm of the semi-discrete solution is derived by using Lyapunov functional. Error estimates are also obtained for semi-discrete solutions and verified by numerical experiments.

In this paper, the singularly perturbed generalized Hodgkin–Huxley equation is solved by the septic Hermite collocation method (SHCM). In this method, septic Hermite interpolating polynomials are used to approximate the trial function because of their special properties such as continuity of the function and the continuity of its tangent at the grid points. The Crank–Nicolson scheme is applied for time discretization and the septic Hermite interpolating polynomials are used for space discretization. The Von-Neumann stability analysis is applied and the algorithm is found to be unconditionally stable. The efficiency of the numerical technique is demonstrated by solving some test examples and comparing the output with the literature data. The analysis shows that the present scheme is easy to implement and gives better results in contrast to the earlier ones.

With progress on both the theoretical and the computational fronts, the use of Hermite interpolation for mathematical modeling has become an established tool in applied science. This article aims to provide an overview of the most widely used Hermite interpolating polynomials and their implementation in various algorithms to solve different types of differential equations, which have important applications in different areas of science and engineering. The Hermite interpolating polynomials, their generalization, properties, and applications are provided in this article.