An approach to the numerical studies of partial differential equations (PDEs)

In todays’ engineering practices, numerical methods are integral to the development of solutions for the myriad of engineering problems. The key role that numerical methods play is to come up with approximate solutions to complicated engineering problems with the help of computers using mathematical...

Full description

Saved in:
Bibliographic Details
Main Author: Pang, Keith Jing Jie
Other Authors: Su Haibin
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48401
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-48401
record_format dspace
spelling sg-ntu-dr.10356-484012023-03-04T15:35:01Z An approach to the numerical studies of partial differential equations (PDEs) Pang, Keith Jing Jie Su Haibin School of Materials Science and Engineering DRNTU::Engineering::Mathematics and analysis In todays’ engineering practices, numerical methods are integral to the development of solutions for the myriad of engineering problems. The key role that numerical methods play is to come up with approximate solutions to complicated engineering problems with the help of computers using mathematical models or equations so that we are able to understand our problem better. Firstly, the research will look into one of the numerical methods called Finite Difference Method (FDM) and gain an understanding of this method by solving several basic partial-differential equations. The second part will look into analyzing a more advanced group of equations that belong to reaction-diffusion systems. The limitations and capabilities of the Finite Difference method will be discussed in the context of the Burger’s equation and the Fisher’s equation. Bachelor of Engineering (Materials Engineering) 2012-04-17T04:46:55Z 2012-04-17T04:46:55Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48401 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mathematics and analysis
spellingShingle DRNTU::Engineering::Mathematics and analysis
Pang, Keith Jing Jie
An approach to the numerical studies of partial differential equations (PDEs)
description In todays’ engineering practices, numerical methods are integral to the development of solutions for the myriad of engineering problems. The key role that numerical methods play is to come up with approximate solutions to complicated engineering problems with the help of computers using mathematical models or equations so that we are able to understand our problem better. Firstly, the research will look into one of the numerical methods called Finite Difference Method (FDM) and gain an understanding of this method by solving several basic partial-differential equations. The second part will look into analyzing a more advanced group of equations that belong to reaction-diffusion systems. The limitations and capabilities of the Finite Difference method will be discussed in the context of the Burger’s equation and the Fisher’s equation.
author2 Su Haibin
author_facet Su Haibin
Pang, Keith Jing Jie
format Final Year Project
author Pang, Keith Jing Jie
author_sort Pang, Keith Jing Jie
title An approach to the numerical studies of partial differential equations (PDEs)
title_short An approach to the numerical studies of partial differential equations (PDEs)
title_full An approach to the numerical studies of partial differential equations (PDEs)
title_fullStr An approach to the numerical studies of partial differential equations (PDEs)
title_full_unstemmed An approach to the numerical studies of partial differential equations (PDEs)
title_sort approach to the numerical studies of partial differential equations (pdes)
publishDate 2012
url http://hdl.handle.net/10356/48401
_version_ 1759857096937963520