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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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4mo ago

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What is the best case scenario for the Bubble Sort algorithm in terms of efficiency and performance?

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.


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

The best case scenario for bubble sort in terms of time complexity is O(n), where n represents the number of elements in the array. This occurs when the array is already sorted, and no swaps are needed during the sorting process.


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What is the running time of heap sort algorithm in terms of time complexity?

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What is the time complexity of Quicksort algorithm in terms of Big O notation?

The time complexity of Quicksort algorithm is O(n log n) in terms of Big O notation.


What is the time complexity, in terms of Big O notation, for an algorithm that has a factorial time complexity of O(n!)?

The time complexity of an algorithm with a factorial time complexity of O(n!) is O(n!).


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What is the average case time complexity of the algorithm?

The average case time complexity of an algorithm is the amount of time it takes to run on average, based on the input data. It is a measure of how efficient the algorithm is in terms of time.


What is the time complexity of the algorithm in terms of O(2n) for solving the given problem?

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Why is Bubble Sort O(n2) in terms of time complexity?

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