How can I improve the performance of Dijkstra's algorithm?
You can improve Dijkstra's algorithm performance by using a priority queue, like a binary heap, to manage the nodes.
What data structures work best for implementing the priority queue?
A binary heap is commonly used, but Fibonacci heaps can offer better theoretical performance for certain cases.
Are there any specific optimizations for sparse graphs?
Yes, for sparse graphs, using an adjacency list representation can significantly reduce memory usage and improve speed.
Can you explain how to implement these optimizations in code?
Sure! I can provide a sample implementation in Python that incorporates a priority queue and adjacency list.
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