Practice Stability in Sorting Algorithms - 22.1.7 | 22. Quicksort analysis | Data Structures and Algorithms in Python
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22.1.7 - Stability in Sorting Algorithms

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the worst-case time complexity of quicksort?

πŸ’‘ Hint: Think about scenarios with poor pivot choices.

Question 2

Easy

Define stability in sorting.

πŸ’‘ Hint: Consider how equal elements are treated when sorted.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the average time complexity of quicksort?

  • O(n)
  • O(n log n)
  • O(nΒ²)

πŸ’‘ Hint: Remember quicksort's efficiency is affected by pivot choices.

Question 2

Is quicksort a stable sorting algorithm?

  • True
  • False

πŸ’‘ Hint: Think about how equal elements are handled.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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?

πŸ’‘ Hint: Consider stability in sorting when equal elements exist.

Question 2

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?

πŸ’‘ Hint: Think about how the sorted output looks to users.

Challenge and get performance evaluation