Find Mode in Binary Search Tree - Tree - Easy - LeetCode
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Find Mode in Binary Search Tree - Tree - Easy - LeetCode

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  • 1The task is to find all modes in a binary search tree, which are the most frequently occurring elements.
  • 2The provided solution uses an in-order traversal to count occurrences and identify modes efficiently.
  • 3The algorithm has a time complexity of O(n) and a space complexity of O(n) due to the recursion stack.

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"The task is to find all modes in a binary search tree, which are the most frequently occurring elements."

Find Mode in Binary Search Tree - Tree - Easy - LeetCode

Given a binary search tree (BST) with duplicates, find all the mode(s) (the most frequently occurred element) in the given BST.

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.

For example: Given BST [1,null,2,2],

1 \ 2 / 2

return [2].

Note: If a tree has more than one mode, you can return them in any order.

Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count).

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 * public int val;
 * public TreeNode left;
 * public TreeNode right;
 * public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
 * this.val = val;
 * this.left = left;
 * this.right = right;
 * }
 * }
 */
public class Solution {
 int? prev = null;
 int count = 1;
 int max = 0;
 public int[] FindMode(TreeNode root) {
 var list = new List<int>();
 InOrder(root,list);
 return list.ToArray();
 }
 
 private void InOrder(TreeNode root, List<int> list){
 if(root==null){
 return;
 }
 
 InOrder(root.left, list);
 
 if(prev != null){
 if(root.val==prev){
 count++;
 }
 else{
 count = 1;
 } 
 }
 
 
 if(count>max){
 max = count;
 list.Clear();
 list.Add(root.val);
 }
 else if(count == max){
 list.Add(root.val);
 }
 
 prev = root.val;
 
 InOrder(root.right, list);
 }
}

Time Complexity: O(n)

Space Complexity: O(n) // for recursion stack.

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sumitc91

Published on 7 October 2020 · 1 min read · 264 words

Part of AskGif Blog · coding

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Find Mode in Binary Search Tree - Tree - Easy - LeetCode | AskGif Blog