Overview

A JavaScript library designed to make matrix-based algorithms easier to understand through interactive, visual representations of their execution and underlying operations. I designed and developed the library to transform complex algorithmic processes into step-by-step visualizations, making it easier to explore how data changes and how individual operations affect the matrix throughout execution. Developed as my master's thesis project, MatrixVis combines algorithmic logic with interactive visualization, turning abstract computational concepts into a more accessible and intuitive learning experience.

Highlights

• Interactive visualization of matrix-based algorithms, allowing users to follow algorithm execution step by step.
• Developed a reusable JavaScript library for creating matrix-based algorithm visualizations.
• Visual representation of matrix operations and data transformations during algorithm execution.
• Step-by-step interaction designed to help school students understand complex algorithms through visual learning.
• Developed as part of my master's thesis, combining algorithm development with interactive educational tools.