In which scenario is Quick Sort generally preferred over Merge Sort?

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Question: In which scenario is Quick Sort generally preferred over Merge Sort?

Options:

Correct Answer: When memory usage is a concern

Solution:

Quick Sort is generally preferred over Merge Sort when memory usage is a concern, as it is an in-place sorting algorithm.

In which scenario is Quick Sort generally preferred over Merge Sort?

In which scenario is Quick Sort generally 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 when you have limited memory, Quick Sort is usually the better choice because it uses less memory.

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.