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CustomCC0-1.0#cp-tp3-0122000

Minimal Block Merge Cost

Thinking Mode

Summary

  • •Phase 3 / dp-knuth
  • •Reasoning-first competitive programming drill

Problem Description

Given an array of n positive integers, you can merge two adjacent blocks into one at a cost equal to their sum. Find the minimal total cost to merge the entire array into a single block. How to read this problem in plain language: - This is a Phase 3 reasoning drill focused on dp-knuth. - Typical lenses to test first: dp, interval-dp, knuth. - Constraints reminder: 2 ≤ n≤5000; 1 ≤ ai​≤1e4 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≤5000; 1 ≤ ai​≤1e4

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.

dpinterval-dpknuthmerge-cost
dpinterval-dpknuthmerge-cost