#####   ######  #####    ###    #   #  ###  #   #  ######
##  ##  ##      ##  ##  ## ##   #   #   #   #   #  ##
#####   ####    #####   #   #   #   #   #   #   #  ####
##  #   ##      ##      ## ##    # #    #    # #   ##
##   #  ######  ##       ###      #    ###    #    ######

$ curl repovive.com/roadmaps/fundamental-algorithms/sorting-algorithms/selection-sort-code

░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░██████████████████████████████████████████████████████████████████████████████████████████

#####   ######  #####    ###    #   #  ###  #   #  ######
##  ##  ##      ##  ##  ## ##   #   #   #   #   #  ##
#####   ####    #####   #   #   #   #   #   #   #  ####
##  #   ##      ##      ## ##    # #    #    # #   ##
##   #  ######  ##       ###      #    ###    #    ######

$ curl repovive.com/roadmaps/fundamental-algorithms/sorting-algorithms/selection-sort-code

Repovive

Selection Sort - Code - Sorting Algorithms | Fundamental Algorithms | Repovive

Repovive.

Selection Sort - Code

Implementation and analysis.

min


function selectionSort(arr):
    n = arr.length
    for i from 0 to n-2:
        minIdx = i
        for j from i+1 to n-1:
            if arr[j] < arr[minIdx]:
                minIdx = j
        swap(arr[i], arr[minIdx])

Time: $O(n^2)$ O(n2) always. The inner loop runs $n-1, n-2, ..., 1$ n−1,n−2,...,1 times regardless of input.

Space: $O(1)$ O(1). Only a few variables for indices(except for the memory array itself).

Stability: Stable. Equal elements maintain their relative order.

Selection sort is simple but slow. Use it only for tiny arrays or when swaps are expensive (since it does exactly $n-1$ n−1 swaps).