How do different set implementations compare in performance?

What are the performance differences between hash sets and tree sets?

Hash sets generally offer O(1) time complexity for add, remove, and contains operations, while tree sets provide O(log n) for these operations due to their underlying balanced tree structure.

Are there scenarios where one is better than the other?

Yes, hash sets are better for frequent lookups, while tree sets maintain order and are better for range queries.

What about memory usage? Is one more efficient?

Hash sets can use more memory due to their need for a backing array and potential resizing, while tree sets have a more predictable memory footprint.

Can you give examples of when to use each?

Use hash sets for fast membership tests and tree sets when you need sorted data or range queries.