Learning Outcome
Turn the Arcesium Maximum Width Level interview variant into a clear brute-force baseline, optimized pattern, and implementation plan.
Original Interview Statement
Given a binary tree, return the maximum width between leftmost and rightmost non-null nodes at any level, counting null gaps.
Examples
| Item | Detail |
|---|---|
| root = [1,3,2,5,3,null,9] | 4 |
Brute Force Approach
Store every null placeholder in BFS. This can explode exponentially for deep sparse trees.
Optimized Approach
Assign heap-style indices to non-null nodes. Width of a level is lastIndex - firstIndex + 1. Normalize each level to avoid overflow.
Exact Pseudocode
queue root with index 0
for each level:
width = last - first + 1
pop nodes and push children with 2*i and 2*i+1 using normalized i
return max width
Reference Code
from collections import deque
def width_of_binary_tree(root):
if not root:
return 0
q = deque([(root, 0)])
best = 0
while q:
first = q[0][1]
last = q[-1][1]
best = max(best, last - first + 1)
for _ in range(len(q)):
node, idx = q.popleft()
idx -= first
if node.left:
q.append((node.left, 2 * idx))
if node.right:
q.append((node.right, 2 * idx + 1))
return bestComplexity
| Item | Detail |
|---|---|
| Brute force | O(width including nulls), can explode |
| Optimized | O(n) time, O(width) space |
Edge Cases
- Sparse deep tree
- Single node
- Index overflow
Follow-ups
- Return the level number too
- Use DFS with first index per depth
Nearest Practice References
- Maximum Width of Binary Tree
Common Mistakes
- Copying the nearest LeetCode solution without checking the changed rule.
- Skipping duplicate or boundary cases.
- Not stating the brute force before the optimized approach.