Count Inversions of an Array - GeeksforGeeks

Learn Linux with Dan on Instagram: "✅ Sorting algorithm comparison I learned sorting algorithms back in college, but didn’t care much about them back then. But now, working in industry, I really get why good algorithms actually matter 🙂 Here is a visual comparison of common sorting algorithms, showing how different strategies rearrange unordered data into sorted order 😎👆 ✅ Bubble sort: Painfully slow at O(n²) — compares everything to everything. ✅ Insertion sort: Also O(n²), but smoother when

ThisTechGirl on Instagram: "Sorting algorithms explained — visually, practically, and in a way you’ll never forget 🔥 I made all 6 algorithms run side-by-side, using the same unsorted array, so you can clearly see how each one performs… including why Bubble Sort is painfully slow 😅 Perfect for developers learning DSA, interviews, or anyone brushing up on concepts. [sorting algorithms, dsa for beginners, JavaScript sorting visualization, bubble sort vs quick sort, coding tutorial, CS fundamental

@thetikibyte on Instagram: "🧠 Sorting Algorithms: A Visual Race! 🚀 This visualization shows 9 essential sorting algorithms organizing the same data set. Their efficiency is defined by their time complexity. 📉 Sorting Categories & Performance: • Slower (Typically O(n^2)): Bubble, Selection, Insertion, Cocktail Sorts. Best for small or nearly-sorted data. They perform many swaps/searches. • Faster (Average O(n \log n)): Merge, Quick, Heap Sorts. Ideal for large datasets. • Quick Sort is often f

Merge Sort Visualization