The idea is to use Dynamic Programming with two key states: dp1[node] and dp2[node]. The value dp1[node] represents the longest path from the current node to any leaf in its subtree, while dp2[node] represents the longest path passing through the current node and two of its subtrees. By combining these two states across all nodes, we compute the maximum diameter. A Depth First Search (DFS) traversal is used to calculate these states efficiently.
Step-by-step approach:
Use dp1[node] (longest path to a leaf in subtree) and dp2[node] (longest path passing through the node and its two subtrees).
For leaf nodes, set dp1[node] = 0 and dp2[node] = 0.
Begin a DFS traversal from an arbitrary node, tracking the parent to avoid revisits.
For each node, find the two largest dp1[child] values using firstMaxand secondMax.