LeetCode 0235. Lowest Common Ancestor of a Binary Search Tree Solution in Java, C++, Python & More | Explanation + Code

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0235. Lowest Common Ancestor of a Binary Search Tree

Description

Given a binary search tree (BST), find the lowest common ancestor (LCA) node of two given nodes in the BST.

According to the definition of LCA on Wikipedia: “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 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.

Example 3:

Input: root = [2,1], p = 2, q = 1
Output: 2

 

Constraints:

  • The number of nodes in the tree is in the range [2, 105].
  • -109 <= Node.val <= 109
  • All Node.val are unique.
  • p != q
  • p and q will exist in the BST.

Solutions

Solution 1: Iteration

Starting from the root node, we traverse the tree. If the current node's value is less than both p and q values, it means that p and q should be in the right subtree of the current node, so we move to the right child. If the current node's value is greater than both p and q values, it means that p and q should be in the left subtree, so we move to the left child. Otherwise, it means the current node is the lowest common ancestor of p and q, so we return the current node.

The time complexity is O(n), where n is the number of nodes in the binary search tree. The space complexity is O(1).

PythonJavaC++GoTypeScriptC#
# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def lowestCommonAncestor( self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode' ) -> 'TreeNode': while 1: if root.val < min(p.val, q.val): root = root.right elif root.val > max(p.val, q.val): root = root.left else: return root(code-box)

Solution 2: Recursion

We can also use a recursive approach to solve this problem.

We first check if the current node's value is less than both p and q values. If it is, we recursively traverse the right subtree. If the current node's value is greater than both p and q values, we recursively traverse the left subtree. Otherwise, it means the current node is the lowest common ancestor of p and q, so we return the current node.

The time complexity is O(n), and the space complexity is O(n). Where n is the number of nodes in the binary search tree.

PythonJavaC++GoTypeScriptC#
# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def lowestCommonAncestor( self, root: 'TreeNode', p: 'TreeNode', q: 'TreeNode' ) -> 'TreeNode': if root.val < min(p.val, q.val): return self.lowestCommonAncestor(root.right, p, q) if root.val > max(p.val, q.val): return self.lowestCommonAncestor(root.left, p, q) return root(code-box)

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