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CustomCC0-1.0#P002-4312000

Maximal XOR Connected Subgraph

Thinking Mode

Summary

  • •Phase 5 / graphs/xor/connected_subgraph
  • •Reasoning-first competitive programming drill

Problem Description

Given an undirected graph with N nodes and M edges (edges with positive weights), find the maximal XOR-sum achievable by choosing a connected subgraph (can be a single node). How to read this problem in plain language: - This is a Phase 5 reasoning drill focused on graphs/xor/connecteds​ubgraph. - Typical lenses to test first: XOR, graph, subgraph. - Constraints reminder: 1 ≤ N≤300; 1 ≤ M≤N∗(N−1)/2; 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≤300; 1 ≤ M≤N∗(N−1)/2; 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.

XORgraphsubgraph
XORgraphsubgraph