Differentiate between Selection Sort and Bubble Sort algorithms. Explain your answer by providing Best, Average, and Worst Case scenarios.
Selection Sort
Scan all items and find the smallest. Swap it into position as the first item. Repeat the selection sort on the remaining N-1 items.
I found this the most intuitive and easiest to implement — you always iterate forward (i from 0 to N-1), and swap with the smallest element (always i). Time complexity in all cases best, average and worst is O(n2) and space complexity is O(1).
Bubble Sort
Starting on the left, compare adjacent items and keep “bubbling” the larger one to the right (it’s in its final place). Bubble sort the remaining N -1 items.
Though “simple” I found bubble sort nontrivial. In general,
sorts where you iterate backwards (decreasing some index) were
counter-intuitive for me. With bubble-sort, either you bubble items
“forward” (left-to-right) and move the endpoint backwards
(decreasing), or bubble items “backward” (right-to-left) and
increase the left endpoint. Either way, some index is
decreasing.
You also need to keep track of the next-to-last endpoint, so you
don’t swap with a non-existent item.
Time complexity in all best case is O(n), and average and worst is O(n2) and space complexity is O(1).
Differentiate between Selection Sort and Bubble Sort algorithms. Explain your answer by providing Best, Average, and...
This program should test the running time of these algorithms: Selection Sort Insertion Sort Bubble Sort Merge Sort Quick Sort Heap Sort You have access to the implementation of all of these sorting algorithms, and you may use what is provided in your text directly. Be sure to cite the source of these implementations in the header of your program. Please maintain the property that these sorting algorithms sort arrays in ascending order. For this homework, you will write a...
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Which are true of Selection Sort? please explain Multiple answers:You can select more than one option A) It uses Θ(n^2) comparisons in the worst case B) It uses Θ(n^2) comparisons in the average case C) It uses Θ(n^2) comparisons in the best case D) It uses Θ(n^2) swaps in the worst case E) It uses Θ(n^2) swaps in the average case F) It uses Θ(n^2) swaps in the best case