Interactive Visualization Tool for Algorithms
Seeing is believing. Build belief in your Algorithms!
Created on 13th March 2024
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Interactive Visualization Tool for Algorithms
Seeing is believing. Build belief in your Algorithms!
The problem Interactive Visualization Tool for Algorithms solves
Nowadays, students opt to memorize and byheart algorithms without properly understandning its working. Most things can in life can only be learnt, believed in, if seen in person. Our Interactive Visualization Tool for Algorithms is meant to solve this issue for a few select algorithms.
Wiht the help of its highly interative and user-friendly interface, most anyone can learn and understand the underlying working principle of the selected algorithms!
Algorithms Included:
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Path Finding Algorithms:
a. BFS
b. DFS
c. Dijkstra
d. Heuristic -
Sorting Algorithms:
a. Bubble sort
b. Merge sort
c. Selection sort
d. Insertion sort
e. Quick sort -
BST visualizer
a. Insertion
b. Deletion
Key Features:
- Sorting Algorithm
- Binary Search Trees (BSTs)
- Path Finding Algorithm
- Customizable Input Data
- Real-time Visualization
- Step-by-Step Execution
- Interactive Control
Challenges we ran into
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Algorithm Logic Implementation: Translating algorithmic logic into JavaScript code that accurately reflects the behavior of each algorithm can be challenging. Each algorithm has its own set of rules, conditions, and steps to follow, and ensuring correct implementation while maintaining code readability and efficiency is essential.
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Real-Time Visualization: Implementing real-time visualization for algorithms such as BFS, DFS, sorting algorithms, and BST operations requires efficient data handling and rendering techniques. Ensuring smooth animation and responsiveness while visualizing algorithmic steps can be challenging, particularly for large datasets or complex algorithms.
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Optimization and Performance: Ensuring optimal performance and efficiency, especially for computationally intensive algorithms like Dijkstra's algorithm or quicksort, is crucial. Implementing algorithms and visualizations in a way that minimizes computational overhead and maximizes responsiveness can be challenging.
Technologies used