Practice Analysis Of Sorting Algorithms (19.2) - Mergesort - Part A - Data Structures and Algorithms in Python
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Analysis of Sorting Algorithms

Practice - Analysis of Sorting Algorithms

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the worst-case time complexity of the insertion sort?

💡 Hint: Think about how insertion sort would behave with a reverse-sorted array.

Question 2 Easy

What do we mean by the term 'merge' in merge sort?

💡 Hint: Remember how we discussed merging sorted papers in class.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of Merge Sort?

O(n²)
O(n log n)
O(log n)

💡 Hint: Think about how the logarithm relates to the number of splits.

Question 2

True or False: Merge Sort is an in-place sorting algorithm.

True
False

💡 Hint: Consider whether it needs extra space to merge lists.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze the performance of Merge Sort when applied to a dataset of 1000 random integers. What is the expected number of comparisons made?

💡 Hint: Use the formula for time complexity while estimating.

Challenge 2 Hard

Consider an array of elements: [7, 5, 8, 3, 1, 2, 6, 4]. Show the steps of how Merge Sort would sort this list in detail.

💡 Hint: Draw out the divide and merge steps to visualize the process.

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Reference links

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