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Rooted Subtree Maximum Path

Thinking Mode

Summary

  • •Phase 6 / tree/dp
  • •Reasoning-first competitive programming drill

Problem Description

Given a tree with n nodes, each node has a weight. For each node, compute the maximal sum of weights along any path starting from that node and going down (not necessarily ending at a leaf). How to read this problem in plain language: - This is a Phase 6 reasoning drill focused on tree/dp. - Typical lenses to test first: tree, dp, max-path. - Constraints reminder: 1 ≤ n≤105, -10^9 ≤ wi​≤109 Mini examples for mental simulation: 1) Boundary example: Describe why this case is tricky. Explain expected behavior and why naive logic may fail. 2) Adversarial example: Adversarial case where naive greedy/local decision looks correct but fails globally. Lite-mode writing target: - Write 1~2 observations that shrink the search space. - Name one final algorithm and state target complexity explicitly. - Validate with at least 2 edge cases and one hand simulation.

Constraints

  • •
    1 ≤ n≤105, -10^9 ≤ wi​≤109

Analysis

Key Insight

Use this hint to refine your reasoning. This step should reduce search space or formalize correctness. State why this insight changes your algorithm choice.

treedpmax-path
treedpmax-path