Table of Contents
Problem Statement:
Lowest Common Ancestor of a Binary Search Tree Leetcode Solution – Given a binary search tree (BST), find the lowest common ancestor (LCA) node of two given nodes in the BST.
Note: “The lowest common ancestor is defined between two nodes p
and q
as the lowest node in T
that has both p
and q
as descendants (where we allow a node to be a descendant of itself).”
Example:
Example 1:
Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8
Output: 6
Explanation:
The LCA of nodes 2 and 8 is 6.
Example 2:
Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4
Output: 2
Explanation:
The LCA of nodes 2 and 4 is 2 since a node can be a descendant of itself according to the LCA definition.
Approach:
Idea:
Iterate in BST
- Calculate the maximum between the value of node p and node q and store the value in maxi, and in the same way, calculate the minimum between the value of node p and node q and store the value in mini.
- We keep iterating root in BST and check :
- If
the value of root node > maxi
then both nodep
andq
belong to the left subtree, go to the left of the tree. - If
the value of root node
< mini
then both nodep
andq
belong to the right subtree, go to the right of the tree. - Now,
mini <= the value of root node <= maxi
the currentroot
is the LCA betweenq
andp
.
- If
Code:
C++ Program of Lowest Common Ancestor of a Binary Search Tree:
class Solution { public: TreeNode* lowestCommonAncestor(TreeNode* root, TreeNode* p, TreeNode* q) { int mini = min(p->val, q->val); int maxi = max(p->val, q->val); while (root != nullptr) { if (root->val > maxi) root = root->left; else if (root->val < mini) root = root->right; else return root; } return nullptr; } };
Java Program of Lowest Common Ancestor of a Binary Search Tree:
class Solution { public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) { int mini = Math.min(p.val, q.val); int maxi = Math.max(p.val, q.val); while (root != null) { if (root.val > maxi) root = root.left; else if (root.val < mini) root = root.right; else return root; } return null; } }
Complexity Analysis for Lowest Common Ancestor of a Binary Search Tree Leetcode Solution:
Time Complexity:
The Time Complexity of the code is O(H), where H is the height of the Binary Tree.
Space Complexity:
The Space Complexity of the code is O(1) because we don’t need any extra space to solve this problem.