Binary Search Tree

The video tutorial covers binary trees, focusing on binary search trees (BSTs). It explains the structure and properties of BSTs, emphasizing the importance of node arrangement where left subtree nodes are less than the root and right subtree nodes are greater. The tutorial distinguishes between balanced and unbalanced trees, highlighting their impact on computational complexity. It also details operations like searching, inserting, and deleting nodes in BSTs, explaining how these operations vary in complexity depending on tree balance.

How does the height of a binary search tree affect its performance?

What is the significance of logarithmic time complexity in the context of binary search trees?

What steps are involved in finding the highest value in the left subtree when deleting a node?

In what scenario would a binary search tree become unbalanced?