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Universiti Tun Hussein Onn Malaysia

An approximation to the solution of hyperbolic equation by homotopy analysis method

Abstract

dc:description.abstract

In this research, Homotopy Analysis Method (HAM) is a analytical method that be used to obtained the approximation solution of hyperbolic equation. Hyperbolic equation is a one of the class of Partial Differential Equation (PDE). PDE is one of the basic areas of applied analysis, and it is difficult to imagine any area of applications where its impact is not felt. In recent decades, there has been tremendous emphasis on understanding and modelling nonlinear processes by using nonlinear PDE. Basically the nonlinear PDE is difficult to solve compare to linear PDE. So, HAM is introduced to solve hyperbolic equation for both linear and nonlinear equation. The auxiliary parameter ~ in the HAM solutions has provided a convenient way of controlling the convergence region of series solution. This method is reliable and manageable to get the approximation solution.The optimum approximation solution of nonlinear hyperbolic equation can be easier obtain by HAM due to it always provides a family of solution expressions in the auxiliary parameter and the convergence. It shown that in HAM even different numbers of auxiliary parameter, ~ is used, the approximation solution still converge to the exact solution.

Degree

thesis:*
Name dc:type.qualificationname
mphil
Level dc:type.qualificationlevel
masters
Grantor dc:publisher.institution
Universiti Tun Hussein Onn Malaysia
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ismail, Siti Hajar

Subjects

dc:subject × 1

Rights

Language dc:language
en

Chain of custody

source
Harvested from
Universiti Tun Hussein Onn Malaysia
Base URL
eprints.uthm.edu.my/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ismail, Siti Hajar. An approximation to the solution of hyperbolic equation by homotopy analysis method. masters thesis, Universiti Tun Hussein Onn Malaysia, 2018.