Arrays & Hashing pattern

Count Inversions

An inversion is a pair of indices i < j where arr[i] > arr[j], a measure of how far the array is from sorted. Count them all. Watch it run step by step, then write your own pseudocode and get it checked by AI.

  • 2 approaches

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Arrays & Hashing

From the first idea to the best one

  1. 01 Brute force · every pair O(n²)O(1) space
  2. 02 Optimized · count while merge sorting O(n log n)O(n) space
Each approach plays step by step, with its time and space.

What you will learn

  • How to read Count Inversions and spot the arrays & hashing pattern in it
  • Brute force · every pair: O(n²) time, O(1) space
  • Optimized · count while merge sorting: O(n log n) time, O(n) space
  • The pseudocode for each approach, its line lit as the animation runs
  • Practice: write your own pseudocode and get it checked

More Arrays & Hashing

See Count Inversions run, step by step

Sign in and this page opens on the animation, with all 13 Arrays & Hashing problems beside it.

DSA comes with the all labs plan and every ChaiCode batch.