How can I optimize my trie implementation for better performance?
To optimize your trie implementation, consider using a more efficient data structure for the nodes, like a hash map.
What about memory usage? Any tips for that?
You can reduce memory usage by using a compressed trie or a ternary search tree instead of a standard trie.
Are there specific algorithms that can help with searching in a trie?
Yes, implementing a depth-first search (DFS) or breadth-first search (BFS) can improve search efficiency in a trie.
How do I handle large datasets with my trie?
For large datasets, consider using a disk-based trie or a hybrid approach that combines tries with other data structures.
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