Sorting Showdown: Comparing 5 Popular Algorithms with Graphs
Sorting is a fundamental operation in computer science, vital in tasks ranging from organizing data to optimizing complex operations. Sorting impacts performance significantly, especially for large datasets, and choosing the right algorithm can make a difference between a lightning-fast solution and a bottleneck. In this blog, we'll explore Bubble Sort , Selection Sort , Insertion Sort , Merge Sort , and Quick Sort , analyzing their functionality, comparing them on key criteria, and visualizing their performance through graphs. What is Sorting? Sorting is the process of rearranging elements in a list or array into a specific order (e.g., ascending or descending). For example, sorting a list of numbers [64, 34, 25, 12, 22, 11, 90] in ascending order gives [11, 12, 22, 25, 34, 64, 90] . Sorting helps in faster searching, efficient decision-making, and better data representation. The Algorithms in Focus 1. Bubble Sort Concept : Repeatedly compare adjacent elements and swap ...