Selection Sort Algorithm| #datastructures #sortingalgorithm #shorts #viral #softwaredeveloper #short

#selectionsort is a straightforward #sortingalgorithm that operates by repeatedly selecting the minimum (or maximum) element from an unsorted portion of the array and #swapping it with the element in the correct position. It's one of the simplest #sorting #techniques but is less efficient than more advanced algorithms for larger datasets.

Here's how the Selection Sort #algorithm works:

Initial Array: Start with an unsorted array of elements.
Find Minimum: Scan through the array to find the smallest element and note its index.
Swap Elements: Swap the smallest element found in step 2 with the first element of the unsorted portion.
Expand Unsorted Portion: Move the boundary of the sorted portion one step to the right (increasing its size by one element) and reduce the unsorted portion by one element.
Repeat: Repeat steps 2-4 until the entire array is sorted.
The key characteristic of Selection Sort is that it always selects the minimum (or maximum) element from the remaining unsorted portion of the array and places it in its correct position in the sorted portion.

Example:

Let's sort an array using Selection Sort:
Input: [64, 25, 12, 22, 11]

Select the smallest element (11) and swap it with the first element (64).
Now the first element is sorted.
Select the smallest element (12) from the remaining array (25, 12, 22) and swap it with the second element (25).
Continue this process until the #array is sorted.
Pros:

Simple to implement.
Requires only a small number of swaps.
Cons:

Inefficient for large datasets due to its #quadratic #timecomplexity (O(n^2)).
Not stable (the relative order of equal elements might change).
#selectionsort is primarily used for educational purposes or for #sorting small datasets where efficiency is not a major concern. For larger #datasets , more #advanced #algorithms like #quicksort , #mergesort , or #heapsort are more suitable.

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