Subtree of Another Tree
Easy
TreeDFS
Problem
Given two binary trees root and subRoot, return true iff subRoot appears (with the same structure and values) anywhere inside root.
Example 1
Input: root=[3,4,5,1,2], subRoot=[4,1,2]
Output: true
Example 2
Input: root=[3,4,5,1,2,null,null,null,null,0], subRoot=[4,1,2]
Output: false
Constraints
- 1 ≤ root nodes ≤ 2000
- 1 ≤ subRoot nodes ≤ 1000
Approach — Tree Traversal
This is a Tree Traversal problem. The idea: traverse the tree — DFS recursively, or BFS level by level — and combine the results from each subtree. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(n) time.
Solution code
Python
class Solution:
def isSubtree(self, root, subRoot):
def same(a, b):
if not a and not b:
return True
if not a or not b or a.val != b.val:
return False
return same(a.left, b.left) and same(a.right, b.right)
if not root:
return subRoot is None
if same(root, subRoot):
return True
return self.isSubtree(root.left, subRoot) or self.isSubtree(root.right, subRoot)
Java
class Solution {
public boolean isSubtree(TreeNode root, TreeNode sub) {
if (root == null) return false;
return same(root, sub) || isSubtree(root.left, sub) || isSubtree(root.right, sub);
}
private boolean same(TreeNode a, TreeNode b) {
if (a == null && b == null) return true;
if (a == null || b == null) return false;
return a.val == b.val && same(a.left, b.left) && same(a.right, b.right);
}
}
Practice it
Reading a solution isn't the same as being able to write it under pressure. Open this problem in the in-browser editor, hide the solution, and solve it from scratch — your code runs against real test cases instantly.
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