What is the performance analysis of binary search trees in C++?

What is the performance analysis of binary search trees in C++?

Binary search trees (BSTs) have average-case time complexities of O(log n) for search, insert, and delete operations. However, in the worst case, they can degrade to O(n) if the tree becomes unbalanced.

How can I ensure my binary search tree remains balanced?

You can use self-balancing trees like AVL trees or Red-Black trees, which automatically maintain balance during insertions and deletions.

What are the advantages of using a binary search tree over an array?

BSTs allow for dynamic data insertion and deletion, and they provide faster search times compared to unsorted arrays, especially for large datasets.

Can you explain the difference between a binary tree and a binary search tree?

A binary tree is a tree data structure where each node has at most two children. A binary search tree is a specific type of binary tree where the left child is less than the parent node, and the right child is greater.