چكيده به لاتين
Abstract
In this thesis, a numerical method is proposed to approximate the solution of the nonlinear parabolic partial differential equation with Neumann’s boundary conditions. The method is based on collocation of cubic B-splines over finite elements so that we have continuity of the dependent variable and its first two derivatives throughout the solution range. We apply cubic B-splines for spatial variable and its derivatives, which produce a system of first order ordinary differential equations. We solve this system by using SSP-RK3 scheme.
The numerical approximate solutions to the nonlinear parabolic partial differential equations have been computed without transforming the equation and without using the linearization.
Four illustrative examples are included to demonstrate the validity and applicability of the technique. In numerical test problems, the performance of this method is shown by computing L1 and L2 error norms for different time levels. Results shown by this method are found to be in good agreement with the known exact solutions.. also we review and further develop a class of strong stability-preserving (SSP) high-order time discretizations for semidiscrete method of lines approximations of partial differential equations.Previously termed TVD (total variation diminishing) time discretizations, these high-order time discretization methods preserve the strong stability properties of first-order Euler time stepping and have proved very useful, especially in solving hyperbolic partial differential equations.The new developments in this paper include the construction of optimal explicit SSP linear Runge–Kutta methods, their application to the strong stability of coercive approximations, a systematic study of explicit SSP multistep methods for nonlinear problems, and the study of the SSP property of implicit Runge–Kutta and multistep methodse .
Keywords:
Nonlinear parabolic partial differential
equation
Neumann boundary conditions
Cubic B-splines basis functions
SSP-RK3 scheme
Thomas algorithm. strong stability preserving, Runge–Kutta methods, multistep methods, high-order accuracy, tim discretization