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Path Maximum with Shortcuts

Thinking Mode

Summary

  • •Phase 1 / dijkstra, optimization
  • •Reasoning-first competitive programming drill

Problem Description

You are given a directed graph with n nodes and m edges, and k additional shortcuts (edges you can add at no cost between any two nodes). What is the minimal possible maximum shortest path length from node 1 to all other nodes after optimally adding the k shortcuts? How to read this problem in plain language: - This is a Phase 1 reasoning drill focused on dijkstra, optimization. - Typical lenses to test first: graphs, dijkstra, shortest path. - Constraints reminder: 1 ≤ n≤105, 1 ≤ m≤2×105, 0 ≤ k≤10, 1 ≤ w≤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, 1 ≤ m≤2×105, 0 ≤ k≤10, 1 ≤ w≤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.

graphsdijkstrashortest pathoptimization
graphsdijkstrashortest pathoptimization