🎓How I Study AIHISA
📖Read
📄Papers📰Blogs🎬Courses
💡Learn
🛤️Paths📚Topics💡Concepts🎴Shorts
🎯Practice
⏱️Coach🧩Problems🧠Thinking🎯Prompts🧠Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way
CustomCC0-1.0#cp0092000

Range k-Occurrence Query

Thinking Mode

Summary

  • •Phase 6 / mo's algorithm, frequency, range query
  • •Reasoning-first competitive programming drill

Problem Description

Given an array of n integers and q queries, each query asks for the number of distinct integers which occur at least k times in the subarray [l, r]. How to read this problem in plain language: - This is a Phase 6 reasoning drill focused on mo's algorithm, frequency, range query. - Typical lenses to test first: mo's algorithm, range query, frequency. - Constraints reminder: 1 ≤ n, q≤1e5; 1 ≤ ai​≤n; 1 ≤ k≤n 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, q≤1e5; 1 ≤ ai​≤n; 1 ≤ k≤n

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.

mo's algorithmrange queryfrequency
mo's algorithmrange queryfrequency