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Which sorting algorithm is preferred when the data is already partially sorted?
- a)Insertion sort
- b)Bubble sort
- c)Quick sort
- d)Selection sort
Correct answer is option 'A'. Can you explain this answer?
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Most Upvoted Answer
Which sorting algorithm is preferred when the data is already partiall...
Insertion sort is preferred when the data is already partially sorted because:
Efficiency:
- Insertion sort has a time complexity of O(n) for data that is almost sorted, making it efficient for partially sorted data.
- It is a simple sorting algorithm that works well with small datasets and is easy to implement.
Adaptability:
- Insertion sort is adaptive, meaning that it performs well when the input is almost sorted. It only requires a few comparisons and swaps to sort partially sorted data.
Stability:
- Insertion sort is stable, meaning that it preserves the relative order of equal elements. This property is beneficial when dealing with partially sorted data as it ensures the stability of the sorting process.
Space complexity:
- Insertion sort has a space complexity of O(1), meaning that it uses a constant amount of extra space. This makes it efficient in terms of memory usage, especially for partially sorted data.
In conclusion, insertion sort is the preferred sorting algorithm when dealing with partially sorted data due to its efficiency, adaptability, stability, and low space complexity.
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Community Answer
Which sorting algorithm is preferred when the data is already partiall...
Insertion sort performs well when the data is already partially sorted because it efficiently places elements in their correct positions by comparing and shifting adjacent elements.
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Which sorting algorithm is preferred when the data is already partially sorted?a)Insertion sortb)Bubble sortc)Quick sortd)Selection sortCorrect answer is option 'A'. Can you explain this answer?
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