Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

XPPWeb: Porting XPP to the Web

Pawlush, Derek (2019) XPPWeb: Porting XPP to the Web. Master's Thesis, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF (updated title page)
Updated Version

Download (560kB) | Preview

Abstract

Ordinary differential equations (ODEs) arise in many areas of mathematics, especially in mathematical modeling and engineering problems. Naturally, solving these types of problems is of great interest due to the practical implications involved. Solving a system of ODEs is often very complicated and in a multitude of instances there is no explicit solution to the system. However, by coupling numerical methods to solve a system of ODEs and dynamical systems techniques centered around visualization, we may gain a meaningful understanding of how the system behaves. XPP is a native software for numerically solving and plotting differential equations. The aim of this project is to extend XPP and create a web application, XPPWeb, with an emphasis on an intuitive user interface and robust plotting features. Case studies of relevant and interesting systems of equations are also included to exhibit the capabilities of XPPWeb. The application will be accessible at https://xppweb.math.pitt.edu/.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Pawlush, Derekdrp62@pitt.edudrp62
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairErmentrout, Bardbard@pitt.edu
Committee MemberRubin, Jonjonrubin@pitt.edu
Committee MemberDoiron, Brentbdoiron@pitt.edu
Date: 30 January 2019
Date Type: Publication
Defense Date: 6 December 2018
Approval Date: 30 January 2019
Submission Date: 4 December 2018
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 27
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Applied Mathematics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: XPPWeb
Date Deposited: 30 Jan 2019 20:40
Last Modified: 30 Jan 2019 20:40
URI: http://d-scholarship.pitt.edu/id/eprint/35700

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item