Merge Sort + Inversions — Two Problems, One Algorithm

1. 1Implement the merge sort algorithm to sort an array
2. 2Modify the merge sort algorithm to count inversions by checking for arr[i] > arr[j] and i < j conditions
3. 3Test the inversion counting function with sample arrays to verify its correctness
4. 4Analyze the time complexity of the inversion counting algorithm to ensure it's efficient
5. 5Apply the inversion counting technique to real-world problems, such as data analysis and sorting large datasets

This benefits software engineers and data scientists who work with algorithms and data structures, as it improves their problem-solving skills and understanding of efficient sorting and inversion counting techniques

💡 The merge sort algorithm can be modified to count inversions in an array, making it a versatile and efficient solution for data structure problems

💡 Solve inversion problems efficiently using merge sort algorithm!