Search⌘ K
AI Features

Solution: Height of Binary Tree After Subtree Removal Queries

Explore how to determine the height of a binary tree after subtree removal queries by applying depth-first search techniques. Learn to compute and use node depths and heights to efficiently update the tree height after each query, enabling you to solve complex tree modification problems confidently.

Statement

We are given the root of a binary tree with nn nodes and an array, queries, of size mm. Each query represents the root of a subtree that should be removed from the tree. The task here is to determine the height of the binary tree after each query, i.e., once a subtree is removed. We'll store the updated heights against each query in an array and return it.

Note: A tree’s height is the number of edges in the longest path from the root to any leaf node in the tree.

A few points to be considered:

  • All the values in the tree are unique.

  • It is guaranteed that queries[i] will not be equal to the value of the root.

  • The queries are independent, so the tree returns to its initial state after each query.

Constraints:

  • 22 \leq nn 500\leq 500 ...