Most Asked Binary Search Tree Coding Problems in Interviews

Binary Search Tree is a data structure with left and right nodes for organizing and storing the data in a sorted manner. This article provides the best coding problems for clearing the interviews. It covers the best and most unique problems from easy to advanced levels. Its main purpose is to provide a range of problems from Basic to Advanced level.

Here are the lists of problems to master the Binary Search Tree in Data Structure and Algorithms ?

Basic Problems

• Validate Binary Search Tree (with duplicate values handling)
• Iterative BST Search and Insertion
• Lowest Common Ancestor in BST with Parent Pointers
• Find Mode in BST (Most Frequent Values)
• Serialize and Deserialize BST
• Find Median in a Stream of Numbers using BST
• Convert Sorted Array to Height-Balanced BST
• Count Pairs in Two BSTs with Target Sum
• BST Iterator Implementation
• Convert BST to Sorted Circular Doubly Linked List
• All Elements in Two Binary Search Trees
• Recover Binary Search Tree after Swapping

Intermediate Problems

• BST to Min-Heap Conversion
• Contains Duplicate III
• Range Module Implementation using BST
• Find Closest K Values in BST
• Interval Tree Implementation
• Binary Search Tree Iterator with Peek
• Implement Map Sum Pairs using BST

Advance Problems

• Implement B+ Tree
• Insertion in the Red Black Tree in Data Structure
• Binary Search Tree to Greater Sum Tree
• Implement Priority Queue using Treap
• Design a Threaded Binary Tree
• Balanced BST With AVL and Red Black Tree