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Which algorithmic approach guarantees finding all such paths efficiently?

easy🔍 Pattern Recognition Q11 of Q15
Tree: Depth-First Search - Path Sum II (All Root-to-Leaf Paths)
You are given a binary tree and a target sum. The task is to find all root-to-leaf paths where the sum of the node values equals the target sum. Which algorithmic approach guarantees finding all such paths efficiently?
AGreedy traversal choosing the child with the closest value to the remaining sum
BDepth-first search (DFS) with path tracking and backtracking to explore all root-to-leaf paths
CDynamic programming to store sums at each node and combine results bottom-up
DBreadth-first search (BFS) with queue to find the shortest path matching the sum
Step-by-Step Solution
Solution:
  1. Step 1: Understand problem requires all root-to-leaf paths

    Since we must find all paths, not just one, exhaustive exploration is needed.
  2. Step 2: Identify DFS with path tracking and backtracking

    DFS explores each path fully, tracking the current path and sum, backtracking to explore alternatives.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    DFS explores all paths, greedy or BFS do not guarantee all paths [OK]
Quick Trick: All root-to-leaf paths require exhaustive DFS [OK]
Common Mistakes:
MISTAKES
  • Thinking greedy or BFS finds all paths
  • Confusing DP for path enumeration
Trap Explanation:
PITFALL
  • Greedy looks efficient but misses paths; DP bottom-up doesn't track paths explicitly
Interviewer Note:
CONTEXT
  • Tests if candidate recognizes exhaustive DFS pattern for path enumeration
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