#100
Same Tree
EasyTreeDepth-First SearchBreadth-First SearchBinary TreeTree TraversalRecursion
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(h) |
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Intuition
Time O(n)Space O(h)
The optimal solution uses a recursive approach to check both trees simultaneously. This allows us to compare nodes in a single pass, improving efficiency.
⚙️
Algorithm
4 steps- 1Step 1: If both nodes are null, return true.
- 2Step 2: If one node is null and the other is not, return false.
- 3Step 3: If the values of both nodes are different, return false.
- 4Step 4: Recursively check the left and right children of both nodes.
solution.py8 lines
1def isSameTree(p, q):
2 if not p and not q:
3 return True
4 if not p or not q:
5 return False
6 if p.val != q.val:
7 return False
8 return isSameTree(p.left, q.left) and isSameTree(p.right, q.right)ℹ
Complexity note: The time complexity is O(n) because we visit each node once. The space complexity is O(h) due to the recursion stack, where h is the height of the tree.
- 1Both trees must have the same structure and node values to be considered identical.
- 2Recursive traversal is a natural fit for tree problems.
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