Abstract:
Nonlinear partial differential equations are often used to understand and model
nonlinear processes arising in many branches of science and engineering. For most of
partial differential equations a general closed-form analytical solution is not available
and therefore use of numerical methods always remains an important alternative for the
solution of partial differential equations. Several numerical methods are developed for
the solution of partial differential equations including finite difference methods, finite
element methods, spectral methods and spline methods. However numerical methods
posses some limitations such as mesh generation, slow rate of convergence, spatial
dependence, stability, low accuracy and difficult to implement in complex geometries.
One of domain type methods is known as radial basis functions method, which is a
truly meshless method, infinitely differentiable, numerically accurate, stable, very high
rate of convergence, spatial independence and flexible with respect to complex
geometry. The main difference between the mesh free radial basis functions method
and classical mesh-based methods is that the radial basis functions can be extended to
the entire domain of influence without diving into elements.
In this thesis, we present mesh free radial basis functions method based on collocation
principle for numerical solution of various time dependent nonlinear partial differential
equations namely, Regularized Long Wave (RLW) equation, Modified Regularized
Long Wave (MRLW) equation, Modified Equal Width Wave (MEW) equation, Klein-
Gordon Schrödinger (KGS) equations, Klein-Gordon Zakharov (KGZ) equations, Two
dimensional Coupled Burgers’ equations and Two dimensional Reaction-Diffusion
Brusselator equations. Different radial basis functions are used for this purpose. First
order forward and second order central difference approximation is employed to the
time derivative. The elementary stability and convergence of the proposed method are
discussed. Accuracy of the method is assessed in terms of various error norms, number
of nodal points and time step size. Performance of the proposed method is validated
through examples from literature. Apart from ease of implementation, better accuracy is
obtained. Comparison with existing methods such as finite difference methods, finite
element methods, boundary element methods and spline methods is made to show the
superiority and simple applicability of the mesh free method.