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This project implements the Breadth First Search (BFS) algorithm in Python, C, and Java. It provides a clear and efficient method for traversing graphs and exploring their structure. Key features include an adjacency list representation, iterative traversal using a queue, and example usage for each language.
🎤 Project Pitch
The addition of the BFS implementation aligns with our goal of enhancing our collection of graph algorithms. BFS is a fundamental algorithm in computer science, widely used in various applications such as web crawling, shortest path finding, and network broadcasting. The implementation plan includes creating the algorithm in Python, C, and Java, with clear documentation and example usages for each.
📈 Expected Outcome
By implementing the BFS algorithm, we expect to provide users with a reliable and efficient way to traverse graphs. This will not only enhance our educational resources but also serve as a foundational component for more complex algorithms that depend on BFS, such as Dijkstra’s algorithm and others.
📷 Screenshots
No response
✔️ Checklist
[X] I have checked and confirmed no similar projects exist.
This project will include comprehensive README files for each implementation, detailing usage instructions and example cases. Contributions are welcome to improve the documentation and expand the test cases for various graph structures.
🔖 Project Description
This project implements the Breadth First Search (BFS) algorithm in Python, C, and Java. It provides a clear and efficient method for traversing graphs and exploring their structure. Key features include an adjacency list representation, iterative traversal using a queue, and example usage for each language.
🎤 Project Pitch
The addition of the BFS implementation aligns with our goal of enhancing our collection of graph algorithms. BFS is a fundamental algorithm in computer science, widely used in various applications such as web crawling, shortest path finding, and network broadcasting. The implementation plan includes creating the algorithm in Python, C, and Java, with clear documentation and example usages for each.
📈 Expected Outcome
By implementing the BFS algorithm, we expect to provide users with a reliable and efficient way to traverse graphs. This will not only enhance our educational resources but also serve as a foundational component for more complex algorithms that depend on BFS, such as Dijkstra’s algorithm and others.
📷 Screenshots
No response
✔️ Checklist
📝 Additional Notes (Optional)
This project will include comprehensive README files for each implementation, detailing usage instructions and example cases. Contributions are welcome to improve the documentation and expand the test cases for various graph structures.