Date of Award
5-2025
Document Type
Project
Degree Name
Master of Science in Computer Science
Department
School of Computer Science and Engineering
First Reader/Committee Chair
Dr. Ronald Salloum
Abstract
Numalyze is an online platform that allows users to run and apply different numerical methods in real time. The application is built using Python and the Flask web framework. It provides an interface where users input mathematical functions and parameters to see the results for root-finding and integration methods, and to also perform reductions on matrices. By using a light-weight web framework and self-coded algorithms which removes dependency on massive external libraries—this application connects theoretical concepts to their practical implementation. It enables students and researchers to visualize the series of steps that each algorithm takes to compute results. Moreover, the application can be packaged into a Docker Image which makes it easy for distribution and deployment. The application, once deployed, is available on any device that supports a web browser, which makes it highly suitable for educational demonstrations, self-study, and quick experimentation.
Recommended Citation
Kapupara, Dev, "Numalyze: Numerical Analysis Web Application" (2025). Electronic Theses, Projects, and Dissertations. 2227.
https://scholarworks.lib.csusb.edu/etd/2227