Practice Divide And Conquer Without Merging (21.1.2) - Quicksort - Data Structures and Algorithms in Python
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Divide and Conquer without Merging

Practice - Divide and Conquer without Merging

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Practice Questions

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Question 1 Easy

What is a pivot in the context of QuickSort?

💡 Hint: Think about how we could group smaller and larger elements.

Question 2 Easy

Name a disadvantage of merge sort.

💡 Hint: Consider what happens during the combination of sorted parts.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main advantage of using QuickSort over merge sort?

Requires more memory
Sorts in-place
None of the above

💡 Hint: Consider how the two algorithms utilize memory.

Question 2

True or False: QuickSort's performance is always O(n log n).

True
False

💡 Hint: Think about what can cause variations in algorithmic efficiency.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an array of integers, write a QuickSort function in Python and analyze its time complexity based on different pivot choices.

💡 Hint: Consider testing with sorted, reverse-sorted, and random arrays.

Challenge 2 Hard

Discuss the potential pitfalls of QuickSort when not using an adequate pivot selection strategy and suggest remedies.

💡 Hint: Explore alternative pivot selection methods and their impact on performance.

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