How do binary search trees compare to other data structures?

How do binary search trees compare to other data structures?

Binary search trees (BSTs) are efficient for search, insert, and delete operations, typically O(log n) time complexity.

What about their space complexity compared to arrays?

BSTs use O(n) space for n nodes, similar to arrays, but they can be more memory-efficient if balanced.

Are there scenarios where a BST is not the best choice?

Yes, if the data is mostly sorted, a BST can become unbalanced, leading to O(n) time complexity for operations.

How do they compare with hash tables?

Hash tables offer average O(1) time complexity for search, but they don't maintain order like BSTs do.

Can you give an example of when to use a BST over a hash table?

Use a BST when you need ordered data and range queries, while hash tables are better for quick lookups without order.