Practice - Worst Case Complexity
Practice Questions
Test your understanding with targeted questions
What does the worst-case complexity of O(n²) mean for a sorting algorithm?
💡 Hint: Think about how time and length of data interact.
What is the first step in the merge sort algorithm?
💡 Hint: What do we do before sorting?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the function of merge sort?
💡 Hint: Consider what sorting means overall.
True or False: Merge sort has a guaranteed worst-case performance of O(n log n).
💡 Hint: Think about the efficiency of the method itself.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a randomly shuffled array of integers, apply the merge sort algorithm to sort the array step by step. Document every split and merge operation.
💡 Hint: Keep track of the left and right sides as you merge them.
Implement the merge sort algorithm in Python from scratch and evaluate its performance against a list of 10,000 random integers.
💡 Hint: Remember that merging is key – focus on how to efficiently combine the sorted halves.
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Reference links
Supplementary resources to enhance your learning experience.