Practice Stability In Sorting Algorithms (22.1.7) - Quicksort analysis
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Stability in Sorting Algorithms

Practice - Stability in Sorting Algorithms

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the worst-case time complexity of quicksort?

💡 Hint: Think about scenarios with poor pivot choices.

Question 2 Easy

Define stability in sorting.

💡 Hint: Consider how equal elements are treated when sorted.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the average time complexity of quicksort?

O(n)
O(n log n)
O(n²)

💡 Hint: Remember quicksort's efficiency is affected by pivot choices.

Question 2

Is quicksort a stable sorting algorithm?

True
False

💡 Hint: Think about how equal elements are handled.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a dataset of students with names and test scores. How would you sort this dataset first by scores (descending) and then by names (alphabetically)? Which sorting algorithm would you use to maintain stability?

💡 Hint: Consider stability in sorting when equal elements exist.

Challenge 2 Hard

Imagine you are developing a function to sort movie titles by release date and then by genre. If some movies are released on the same date, how will stability in your sorting algorithm impact user experience?

💡 Hint: Think about how the sorted output looks to users.

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Reference links

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