graphs discussion
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- Akash: Good point. I got stuck dealing with large graphs. Dijkstra's felt slow. Did you encounter that issue?
- Sam: Definitely. Priority queues in Dijkstra's can slow down with larger graphs. I started exploring optimizations like using Fibonacci heaps or considering A* if there's additional heuristic information available.
- Akash: A* sounds interesting. I'll look into that. Also, handling disconnected graphs posed a challenge for me. Did you face that?
- Sam: Absolutely, especially with Dijkstra's. Modifying the algorithm to handle disconnected graphs involved keeping track of visited nodes and treating unvisited nodes as having infinite distances.
- Akash: Smart approach. I'll give that a shot. Lastly, any tips for debugging? Sometimes it's tough to pinpoint where the algorithm goes wrong. Thanks, Sam! These insights are gold. I'll dive back in armed with these strategies.
- Sam: I found visualization tools like Graphviz helpful. They help trace the steps and identify where the algorithm might be taking unexpected turns. Also, testing on small handcrafted graphs can ease the debugging process. No problem, Akash! Happy coding
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