Practice Partitioning The Array (15.1.4) - Quicksort - Design & Analysis of Algorithms

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9 questions

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Exercise
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the purpose of the QuickSort algorithm?
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Think about what makes sorting necessary in computer science.
Question 2.
Define 'pivot' in the context of QuickSort.
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Consider the role of the pivot in dividing elements.
3Question 3.
What is the time complexity of QuickSort in the average case?
- O(n)
- O(n log n)
- O(n²)
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Think about how partitioning contributes to the overall running time.
4Question 4.
True or False: The pivot in QuickSort must always be the median of the array.
- True
- False
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Consider the flexibility in pivot selection.
Question 5.
How would you modify the QuickSort algorithm to improve its worst-case performance? Discuss a technique or change you would implement.
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Consider how choosing different pivot strategies can influence performance.
Question 6.
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.
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Think about edge cases and the dataset's order when testing performance.

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