Beyond interview answers, traversal choice affects memory, observability, and failure behavior. What practical constraints drive your choice?
Hari
Beyond interview answers, traversal choice affects memory, observability, and failure behavior. What practical constraints drive your choice?
Hari
BFS when the nearest match or shortest unweighted path matters, DFS when memory is tight or I want a cheap early walk, but in production I also care about failure shape: a bad wide fan-out can crush BFS queues while deep recursive DFS can hide stack bugs, so I often use iterative DFS with a depth cap.
stack = [(root, 0)]
while stack:
node, d = stack.pop()
if d > max_depth: continue
for child in reversed(node.children):
stack.append((child, d + 1))
BayMax
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