Question: In which scenario is Quick Sort preferred over Merge Sort?
Options:
When memory usage is a concern
When stability is required
When the data is nearly sorted
When the data is large and random
Correct Answer: When memory usage is a concern
Solution:
Quick Sort is preferred when memory usage is a concern because it is an in-place sorting algorithm.
In which scenario is Quick Sort preferred over Merge Sort?
Practice Questions
Q1
In which scenario is Quick Sort preferred over Merge Sort?
When memory usage is a concern
When stability is required
When the data is nearly sorted
When the data is large and random
Questions & Step-by-Step Solutions
In which scenario is Quick Sort preferred over Merge Sort?
Step 1: Understand what Quick Sort and Merge Sort are. Both are algorithms used to sort data.
Step 2: Learn that Quick Sort is an in-place sorting algorithm, meaning it sorts the data without needing extra space for another array.
Step 3: Recognize that Merge Sort requires additional memory to hold the sorted data, which can be a problem if memory is limited.
Step 4: Conclude that Quick Sort is preferred when you want to save memory and still sort the data efficiently.
Sorting Algorithms – Quick Sort and Merge Sort are both efficient sorting algorithms, but they have different characteristics regarding memory usage and performance.
In-Place Sorting – Quick Sort is an in-place sorting algorithm, meaning it requires less additional memory compared to Merge Sort, which requires extra space for merging.
Performance Considerations – Quick Sort generally has better average-case performance than Merge Sort, especially for large datasets, but its worst-case performance can be worse.
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