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Maximal Sum Partition with Constraints

Thinking Mode

Summary

  • •Phase 5 / binary_search/greedy/partition
  • •Reasoning-first competitive programming drill

Problem Description

You are given an array of N integers and a positive integer K. Partition the array into at most K contiguous subarrays such that the minimal sum among all segments is maximized. How to read this problem in plain language: - This is a Phase 5 reasoning drill focused on binarys​earch/greedy/partition. - Typical lenses to test first: binary search, greedy, partition. - Constraints reminder: 1 ≤ N≤2∗105; 1 ≤ K≤N;−104≤A[i] ≤ 10^4 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≤2∗105; 1 ≤ K≤N;−104≤A[i] ≤ 10^4

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.

binary searchgreedypartition
binary searchgreedypartition