How do red-black trees compare to other data structures?

What are red-black trees and how do they work?

Red-black trees are a type of self-balancing binary search tree. They maintain balance through color properties, ensuring that no path from the root to the leaf is more than twice as long as any other such path.

How do they compare to AVL trees?

Both red-black trees and AVL trees are self-balancing, but red-black trees allow for faster insertion and deletion operations, while AVL trees provide faster lookups due to stricter balancing.

In what scenarios would you prefer red-black trees over other structures?

Red-black trees are preferred in scenarios where frequent insertions and deletions occur, such as in associative arrays or when implementing priority queues.

Can you explain the time complexity for operations in red-black trees?

Sure! The time complexity for search, insertion, and deletion operations in red-black trees is O(log n), where n is the number of nodes in the tree.