selection sort
public static void SelectionSort(int[] arr)
{
int small;
for (int i = 0; i <arr.length - 1; i++)
{
small = i;
for (int j = i + 1; j < arr.length; j++)
{
//if current position is less than previous smallest
if (arr[j] < arr[small])
{
small = j;
//swap values
int temp = arr[i];
arr[i] = arr[small];
arr[small] = temp;
}
}
}
}
// Por ter uma complexidade alta,
// não é recomendado para um conjunto de dados muito grande.
// Complexidade: O(n²) / O(n**2) / O(n^2)
// @see https://www.cs.usfca.edu/~galles/visualization/ComparisonSort.html
function selectionSort(vetor) {
let minor;
for (let i = 0; i < vetor.length - 1; i += 1) {
minor = i;
for (let j = i + 1; j < vetor.length; j += 1) {
if (vetor[j] < vetor[minor]) {
minor = j;
}
}
if (i !== minor) {
[vetor[i], vetor[minor]] = [vetor[minor], vetor[i]];
}
}
return vetor;
}
selectionSort([1, 2, 5, 8, 3, 4]);
# Python program for implementation of Selection
# Sort
import sys
A = [64, 25, 12, 22, 11]
# Traverse through all array elements
for i in range(len(A)):
# Find the minimum element in remaining
# unsorted array
min_idx = i
for j in range(i+1, len(A)):
if A[min_idx] > A[j]:
min_idx = j
# Swap the found minimum element with
# the first element
A[i], A[min_idx] = A[min_idx], A[i]
# Driver code to test above
print ("Sorted array")
for i in range(len(A)):
print("%d" %A[i]),
void selectionSort(int arr[], int n)
{
int i, j, min_idx;
// One by one move boundary of unsorted subarray
for (i = 0; i < n-1; i++)
{
// Find the minimum element in unsorted array
min_idx = i;
for (j = i+1; j < n; j++)
if (arr[j] < arr[min_idx])
min_idx = j;
// Swap the found minimum element with the first element
swap(&arr[min_idx], &arr[i]);
}