Practice Partitioning the Array - 15.1.4 | 15. Quicksort | Design & Analysis of Algorithms - Vol 1
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Partitioning the Array

15.1.4 - Partitioning the Array

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of the QuickSort algorithm?

💡 Hint: Think about what makes sorting necessary in computer science.

Question 2 Easy

Define 'pivot' in the context of QuickSort.

💡 Hint: Consider the role of the pivot in dividing elements.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of QuickSort in the average case?

O(n)
O(n log n)
O(n²)

💡 Hint: Think about how partitioning contributes to the overall running time.

Question 2

True or False: The pivot in QuickSort must always be the median of the array.

True
False

💡 Hint: Consider the flexibility in pivot selection.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

How would you modify the QuickSort algorithm to improve its worst-case performance? Discuss a technique or change you would implement.

💡 Hint: Consider how choosing different pivot strategies can influence performance.

Challenge 2 Hard

Implement QuickSort in a programming language of your choice and analyze its performance by sorting a large dataset. Discuss the outcomes and challenges you observed.

💡 Hint: Think about edge cases and the dataset's order when testing performance.

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