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The best case scenario for the Bubble Sort algorithm is when the input data is already sorted. In this case, the algorithm will only need to make one pass through the data to confirm that it is sorted, resulting in a time complexity of O(n). This makes it efficient and fast for sorting already sorted data.

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4mo ago

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Related Questions

What is the best case scenario for the bubble sort algorithm in terms of time complexity?

The best case scenario for the bubble sort algorithm is when the list is already sorted. In this case, the time complexity is O(n), where n is the number of elements in the list.


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Yes, bubble sort is a stable sorting algorithm.


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The running time of the bubble sort algorithm is O(n2), where n is the number of elements in the array being sorted.


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The running time of the bubble sort algorithm is O(n2), where n is the number of elements in the array being sorted.


What is the average case time complexity of the Bubble Sort algorithm?

The average case time complexity of the Bubble Sort algorithm is O(n2), where n is the number of elements in the array being sorted.


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The time complexity of the best case scenario for Bubble Sort is O(n), where n is the number of elements in the array.


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The bubble sort algorithm can be applied to an array of characters. Every character can be translated to an integer equivalent via the ascii table


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Selection sort is more efficient for small datasets compared to bubble sort.


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