Date of Award

8-2024

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

School

Mathematics and Natural Sciences

Committee Chair

Haiyan Tian

Committee Chair School

Mathematics and Natural Sciences

Committee Member 2

Jiu Ding

Committee Member 2 School

Mathematics and Natural Sciences

Committee Member 3

James Lambers

Committee Member 3 School

Mathematics and Natural Sciences

Committee Member 4

Huiqing Zhu

Committee Member 4 School

Mathematics and Natural Sciences

Abstract

This research aims to solve nonlinear Poisson-type partial differential equations (PDEs) by the approach of the homotopy analysis method (HAM) incorporated with approximate particular solutions (APS) using Delta-shaped basis (DSB) approximations.

With the inclusion of the h auxiliary parameters, we tackle nonlinear problems by studying the mathematical characteristics of the h curve. This is to ensure the numerical convergence of the HAM.

In the solution process, we use the homotopy analysis method to convert a nonlinear PDE into linear inhomogeneous PDEs, which are solved using the method of approximate particular solutions with DSB.

A proper value of the h is used in each iteration. We solve the h-parameter dependent equations using the method of approximate particular solutions with DSB approximation. We use the analytical particular solutions of the DSB functions and the fundamental solutions associated with the differential operator to solve h-parameter dependent equations.

This is an accurate, efficient, and meshless method that uses the domain information and boundary conditions. The effectiveness of the delta-shaped basis approximation is demonstrated by allowing ghost points in the collocation approach for solving a Poisson equation.

Numerical examples for nonlinear Poisson-type PDEs are solved on various irregular shaped domains. The maximum error and mean square root error with an increasing number of iterations illustrate the accuracy and validity of the proposed method.

Available for download on Monday, August 31, 2026

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