To understand how well sorting algorithms work, we look at a few important things:
Time Complexity: This tells us how long an algorithm takes to sort things.
Bubble Sort: This is slow and can take a lot of time. Its worst-case time is O(n^2).
Selection Sort: This is also slow with the same worst-case time: O(n^2).
Insertion Sort: This has a worst-case time of O(n^2) but can be faster with nearly sorted data, taking only O(n) in the best case.
Space Complexity: This shows how much extra space the algorithm needs.
Performance:
Bubble Sort is the slowest of the three.
Insertion Sort tends to be faster, especially when the data is small or close to being sorted.
In summary, while Bubble Sort and Selection Sort are similar in speed, Insertion Sort can do better in certain situations.
To understand how well sorting algorithms work, we look at a few important things:
Time Complexity: This tells us how long an algorithm takes to sort things.
Bubble Sort: This is slow and can take a lot of time. Its worst-case time is O(n^2).
Selection Sort: This is also slow with the same worst-case time: O(n^2).
Insertion Sort: This has a worst-case time of O(n^2) but can be faster with nearly sorted data, taking only O(n) in the best case.
Space Complexity: This shows how much extra space the algorithm needs.
Performance:
Bubble Sort is the slowest of the three.
Insertion Sort tends to be faster, especially when the data is small or close to being sorted.
In summary, while Bubble Sort and Selection Sort are similar in speed, Insertion Sort can do better in certain situations.