Find Mode in Binary Search Tree
Find Mode in Binary Search Tree is a Easy Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Tree Traversal Patterns (DFS & BFS) pattern, in the Recursive Inorder Traversal subpattern.
Problem statement
Given the root of a binary search tree (BST) with duplicates, return all the mode(s) (i.e., the most frequently occurred element) in it.
If the tree has more than one mode, return them in any order.
Assume a BST is defined as follows:
- The left subtree of a node contains only nodes with keys less than or equal to the node's key.
- The right subtree of a node contains only nodes with keys greater than or equal to the node's key.
- Both the left and right subtrees must also be binary search trees.
Example 1:
Input: root = [1,null,2,2] Output: [2]
Example 2:
Input: root = [0] Output: [0]
Constraints:
- The number of nodes in the tree is in the range [1, 104].
- -105 <= Node.val <= 105
Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count).
Topics and companies
Topics: Tree, Depth-First Search, Binary Search Tree, Binary Tree.
Reported in interviews at Google.
How to practise Find Mode in Binary Search Tree on Thita.ai
Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(n) time and O(h) space.
Open Find Mode in Binary Search Tree in the code editor, or read the Find Mode in Binary Search Tree editorial for a worked solution with its approach and complexity analysis.
Where Find Mode in Binary Search Tree sits in the DSA pattern sheet
- Tree Traversal Patterns (DFS & BFS) pattern guide
- Recursive Inorder Traversal subpattern
- The full DSA patterns sheet
- All coding practice problems
Problems related to Find Mode in Binary Search Tree
Other problems that use the same Recursive Inorder Traversal and Tree Traversal Patterns (DFS & BFS) techniques:
- Binary Search Tree Iterator — Medium, same subpattern
- Binary Tree Inorder Traversal — Easy, same subpattern
- Kth Smallest Element in a BST — Medium, same subpattern
- Minimum Absolute Difference in BST — Easy, same subpattern
- Validate Binary Search Tree — Medium, same subpattern
- All Nodes Distance K in Binary Tree — Medium, same pattern