Sorting Algorithms

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What is the primary purpose of using sorting algorithms in computer science?: To organize data into a specified order for more efficient searching and processing
Which sorting algorithm is considered most efficient when dealing with large datasets?: Merge Sort
In Bubble Sort, what action is taken when the current element is greater than the next element?: The elements are swapped
What is a key characteristic of Merge Sort that differentiates it from other sorting algorithms?: It breaks down the array into smaller arrays and merges them in order
How does the complexity of Bubble Sort change with the size of the array?: It increases quadratically, making it less efficient for larger arrays
What advantage does Merge Sort have over Bubble Sort?: Better performance on larger arrays due to its divide-and-conquer approach
Why is Bubble Sort considered inefficient for sorting large datasets?: Because its time complexity is quadratic, requiring many passes through the data
How does Merge Sort ensure elements are sorted correctly when reassembling the array?: By merging smaller arrays in order while ensuring each is sorted
What is a scenario where Bubble Sort might still be a viable option despite its inefficiencies?: When sorting an array that is nearly sorted, where minimal swaps are needed
Which sorting algorithm employs a divide-and-conquer strategy for sorting elements?: Merge Sort

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