- An additional temporary variable is needed to swap the elements in an array.
- It can not be optimized to terminate the swapping early.
- It can sort an array of any data type.
Explanation:
Bubble Sort can be optimized if no swaps are made in every pass, which indicates that the array is already sorted.
- How will Bubble Sort handle the sorted portion of the array in every pass?
- It will ignore the sorted portion of the array.
- It will resort to the entire array in every pass.
- It will include the sorted portion while comparing the elements of the array
- It will reduce the number of comparisons by ignoring the sorted portion.
Explanation:
Bubble Sort will reduce the number of comparisons by ignoring the sorted portion of the array in every pass. The largest unsorted elements are bubbled to their correct places in the array.
- What would be the effect of Bubble Sort on the array having duplicate elements in it?
- It will remove duplicate elements.
- It will sort an array and can maintain a relative order of duplicates.
- It will sort the array but doesn't maintain the order of duplicates.
- It will fail to sort an array having duplicate elements in it.
Explanation:
Bubble Sort will sort the array and maintain the relative order of duplicate elements.
- What was the first operation performed by the Bubble Sort?
- Merging
- Dividing
- Swapping
- Partitioning
Explanation:
The primary operation performed first by Bubble Sort is swapping adjacent elements if they are in the wrong order.
- How can we compare Bubble Sort with Insertion Sort in terms of performance on maximum sorted arrays?
- Bubble Sort is faster and more effective.
- Insertion Sort is faster and more effective
- Both the sorting has the same performance.
- Neither of the sortings is suitable for nearly sorted arrays.
Explanation:
When evaluating performance, Insertion Sort outperforms Bubble Sort due to its ability to place elements directly into their appropriate spots within the array.