Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree.
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 = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 1
Output: 3
Explanation: The LCA of nodes 5 and 1 is 3.
Example 2:
Input: root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 4
Output: 5
Explanation: The LCA of nodes 5 and 4 is 5, since a node can be a descendant of itself according to the LCA definition.
Example 3:
Input: root = [1,2], p = 1, q = 2 Output: 1
Constraints:
- The number of nodes in the tree is in the range [$2$,
$10^5$ ]. -
$-10^9$ <= Node.val <=$10^9$ - All Node.val are unique.
- p != q
- p and q will exist in the tree.
Problem can be found in here!
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
Solution: Depth-First Search
class Solution:
def lowestCommonAncestor(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode:
# Case 1: We have reached the children of leaf node
if root is None:
return root
# Case 2: Found the targeted tree node
if root == p or root == q:
return root
# Search for targeted tree nodes
left = self.lowestCommonAncestor(root.left, p, q)
right = self.lowestCommonAncestor(root.right, p, q)
# If both targeted tree nodes are found, then return
if left and right:
return root
# There are two scenarios: either one of the children found the targeted node and neither of them found.
# For the first case: if we find p in left subtree and q is not found, this means that q is the child of p.
# Therefore, we should return p as the lowest common ancestor.
else:
return left or right
Time Complexity: