The Biggest Mistake Students Make With Sorting Algorithms
Struggling with Sorting Algorithms? Here is the no-BS guide to understanding it, complete with real-world examples and study shortcuts.
Are you consistently losing points on Sorting Algorithms because of using a slow sort on a nearly-sorted dataset? If so, you're making the exact same error as 80% of your class.
Case Study: Failing at Sorting Algorithms
Let's analyze exactly where most students go wrong. When faced with this problem, the intuitive leap is usually the wrong one.
The Wrong Approach: Students will default to using a slow sort on a nearly-sorted dataset because it feels like a shortcut.
The Right Approach: Insertion Sort is generally O(N^2), but if an array is already mostly sorted, it runs in nearly O(N) time, making it faster than MergeSort for specific data.
By forcing yourself to do it the right way, even when it takes longer, you guarantee the points on the exam.
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