🎓How I Study AIHISA
📖Read
📄Papers📰Blogs🎬Courses
💡Learn
🛤️Paths📚Topics💡Concepts🎴Shorts
🎯Practice
⏱️Coach🧩Problems🧠Thinking🎯Prompts🧠Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way
CustomCC0-1.0#P008-8451800

Tree Path Maximum After Pruning

Thinking Mode

Summary

  • •Phase 5 / trees/pruning/path_max
  • •Reasoning-first competitive programming drill

Problem Description

Given a rooted tree with N nodes where each node has a value, you may remove up to K leaves. What is the maximal sum of a path from the root to any remaining leaf in the pruned tree? How to read this problem in plain language: - This is a Phase 5 reasoning drill focused on trees/pruning/pathm​ax. - Typical lenses to test first: tree, greedy, pruning. - Constraints reminder: 2 ≤ N≤2∗104; 0 ≤ K≤N/2; 1 ≤ V[i] ≤ 10^9 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

  • •
    2 ≤ N≤2∗104; 0 ≤ K≤N/2; 1 ≤ V[i] ≤ 10^9

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.

treegreedypruning
treegreedypruning