What are the main use cases for binary search trees?
Binary search trees (BSTs) are commonly used for efficient searching, sorting, and maintaining a dynamic dataset.
How do hashmaps compare to binary search trees in terms of performance?
Hashmaps offer average O(1) time complexity for lookups, while BSTs have O(log n) for balanced trees, making hashmaps faster.
Can you give examples of real-world applications for each?
Sure! BSTs are used in databases for indexing, while hashmaps are used in caching and implementing associative arrays.
Are there any scenarios where one is preferred over the other?
Yes, if you need ordered data, BSTs are preferred. For quick lookups without order, hashmaps are the better choice.
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