CustomCC0-1.0#cp0012100
Split Array with Maximum Distincts
Summary
- •Phase 6 / dp, sliding window, optimization
- •Reasoning-first competitive programming drill
Problem Description
Given an array A of n integers, split it into k contiguous subarrays so that the sum of the number of distinct values in each subarray is maximized.
How to read this problem in plain language:
- This is a Phase 6 reasoning drill focused on dp, sliding window, optimization.
- Typical lenses to test first: dp, greedy, sliding window.
- Constraints reminder: 1 ≤ 1 ≤
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 ≤ 1 ≤
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.
dpgreedysliding windowset