How does binary search work in binary search trees?

How does binary search work in binary search trees?

Binary search in binary search trees (BST) involves comparing the target value with the current node's value. If they match, the search is successful. If the target is less, the search continues in the left subtree; if greater, in the right subtree.

What are the advantages of using binary search trees?

Binary search trees allow for efficient searching, insertion, and deletion operations, typically in O(log n) time, making them faster than linear data structures.

Can you explain how to insert a value into a binary search tree?

To insert a value, start at the root and compare it with the current node. If it's smaller, move to the left child; if larger, move to the right. Repeat this until you find a null position to insert the new value.

What happens if the tree becomes unbalanced?

If a binary search tree becomes unbalanced, its performance degrades to O(n) for operations. To maintain balance, self-balancing trees like AVL or Red-Black trees can be used.