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Count inversions in an array efficiently

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of inversion counting and algorithmic design, specifically comparing naive O(n^2) approaches with O(n log n) divide-and-conquer strategies while requiring analysis of time and space complexity.

  • Medium
  • Akuna Capital
  • Coding & Algorithms
  • Software Engineer

Count inversions in an array efficiently

Company: Akuna Capital

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Take-home Project

Given the array [5, 7, 9, 2, 3, 12, 8, 4], compute the number of inversion pairs (i, j) where i < j and arr[i] > arr[j]. Describe both a naive O(n^ 2) approach and an O(n log n) divide-and-conquer method, and analyze their complexities.

Quick Answer: This question evaluates understanding of inversion counting and algorithmic design, specifically comparing naive O(n^2) approaches with O(n log n) divide-and-conquer strategies while requiring analysis of time and space complexity.

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Akuna Capital
Sep 6, 2025, 12:00 AM
Software Engineer
Take-home Project
Coding & Algorithms
5
0

Given the array [5, 7, 9, 2, 3, 12, 8, 4], compute the number of inversion pairs (i, j) where i < j and arr[i] > arr[j]. Describe both a naive O(n^ 2) approach and an O(n log n) divide-and-conquer method, and analyze their complexities.

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