Back to results

University of Nevada, Las Vegas

Numerical solutions to Poisson's equation using radial basis functions

Abstract

dc:description.abstract

This thesis addresses the problem of obtaining solutions to Poisson's equation which is encountered in the applied sciences and engineering fields. Two separate methods are explained for obtaining particular solutions to this equation. The Method of Fundamental Solutions is then used to solve the remaining homogeneous equation in the context of the Method of Particular Solutions and Dual Reciprocity Method. Numerous examples are given using 2-D and 3-D domain problems; The first method is an interpolation method that has resulted in some problems with ill-conditioning of the matrix used in the problem solving and a remedy has been examined in this paper. The second approximation method is new to this study and has revealed to have excellent results thus far for the problems researched in this paper. The basic theory behind the development of these methods is explained and then examples are given. The examples given were obtained using a Gateway PC with Visual Fortran programming software.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mathematics
Grantor dc:publisher
University of Nevada, Las Vegas
Year
2002

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ludian, Michael David
Contributors dc:contributor
  • Xin Li

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Language dc:language
English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:oasis.library.unlv.edu:rtds-2375

Chain of custody

source
Harvested from
University of Nevada - Las Vegas
Base URL
oasis.library.unlv.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Ludian, Michael David. Numerical solutions to Poisson's equation using radial basis functions. Thesis thesis, University of Nevada, Las Vegas, 2002. https://doi.org/10.25669/ib65-r7oh