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What is the time complexity of the iterative DFS solution for finding all root-to-leaf paths with a given sum in a binary tree with N nodes and maximum path length L?

medium🪤 Complexity Trap Q13 of Q15
Tree: Depth-First Search - Path Sum II (All Root-to-Leaf Paths)
What is the time complexity of the iterative DFS solution for finding all root-to-leaf paths with a given sum in a binary tree with N nodes and maximum path length L?
AO(N) because each node is visited once
BO(N^2) because all pairs of nodes are compared during traversal
CO(N * L) because each node's path is copied when pushed onto the stack
DO(L) because only the path length affects complexity
Step-by-Step Solution
Solution:
  1. Step 1: Identify operations per node

    Each node is visited once, but path copying of length up to L occurs when pushing onto stack.
  2. Step 2: Calculate total complexity

    Copying paths of length L for up to N nodes leads to O(N * L) time complexity.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Path copying dominates, so complexity is O(N * L) [OK]
Quick Trick: Path copying causes O(N * L), not just O(N) [OK]
Common Mistakes:
MISTAKES
  • Assuming O(N) ignoring path copying
  • Confusing with quadratic complexity from unrelated operations
Trap Explanation:
PITFALL
  • O(N) looks right but ignores path list copying cost; O(N^2) is too high without nested loops
Interviewer Note:
CONTEXT
  • Tests understanding of hidden costs in path tracking during DFS
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