Navigating the realm of Java Implementation of All Sorting Algorithms becomes more accessible with the support of help with programming assignments, enabling students to explore the nuances of diverse sorting techniques and their practical implementations, fostering a deeper comprehension of algorithmic efficiency and data organization.
When a comparison operator is applied to an array or list of elements, a sorting algorithm is used to reorder the elements. The new order of the elements in the relevant data structure is determined by the comparison operator (“Sorting Algorithms”).
According to (“Sorting Algorithms Explained with Examples in JavaScript, Python, Java, and C++”) there are 9 commonly used sorting algorithms in Data structures. They are given below, Source (“Sorting Algorithms Explained with Examples in JavaScript, Python, Java, and C++”)
- Selection sort
- Bubble sort
- Insertion sort
- Merge sort
- Quick sort
- Heap sort
- Counting sort
- Radix sort
- Bucket sort
Selection Sort (Code):
Code Source (“Sorting Algorithms”)
// Java program for implementation of Selection Sort
class SelectionSort
{
void sort(int arr[])
{
int n = arr.length;
// One by one move boundary of unsorted subarray
for (int i = 0; i < n-1; i++)
{
// Find the minimum element in unsorted array
int min_idx = i;
for (int j = i+1; j < n; j++)
if (arr[j] < arr[min_idx])
min_idx = j;
// Swap the found minimum element with the first
// element
int temp = arr[min_idx];
arr[min_idx] = arr[i];
arr[i] = temp;
}
}
// Prints the array
void printArray(int arr[])
{
int n = arr.length;
for (int i=0; i<n; ++i)
System.out.print(arr[i]+" ");
System.out.println();
}
// Driver code to test above
public static void main(String args[])
{
SelectionSort ob = new SelectionSort();
int arr[] = {64,25,12,22,11};
ob.sort(arr);
System.out.println("Sorted array");
ob.printArray(arr);
}
}
Bubble Sort (Code):
Code Source (“Sorting Algorithms”)
// Java program for implementation of Bubble Sort
class BubbleSort {
void bubbleSort(int arr[])
{
int n = arr.length;
for (int i = 0; i < n - 1; i++)
for (int j = 0; j < n - i - 1; j++)
if (arr[j] > arr[j + 1]) {
// swap arr[j+1] and arr[j]
int temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
}
}
/* Prints the array */
void printArray(int arr[])
{
int n = arr.length;
for (int i = 0; i < n; ++i)
System.out.print(arr[i] + " ");
System.out.println();
}
// Driver method to test above
public static void main(String args[])
{
BubbleSort ob = new BubbleSort();
int arr[] = { 64, 34, 25, 12, 22, 11, 90 };
ob.bubbleSort(arr);
System.out.println("Sorted array");
ob.printArray(arr);
}
}
Insertion Sort (Code):
Code Source (“Sorting Algorithms”)
// Java program for implementation of Insertion Sort
class InsertionSort {
/*Function to sort array using insertion sort*/
void sort(int arr[])
{
int n = arr.length;
for (int i = 1; i < n; ++i) {
int key = arr[i];
int j = i - 1;
/* Move elements of arr[0..i-1], that are
greater than key, to one position ahead
of their current position */
while (j >= 0 && arr[j] > key) {
arr[j + 1] = arr[j];
j = j - 1;
}
arr[j + 1] = key;
}
}
/* A utility function to print array of size n*/
static void printArray(int arr[])
{
int n = arr.length;
for (int i = 0; i < n; ++i)
System.out.print(arr[i] + " ");
System.out.println();
}
// Driver method
public static void main(String args[])
{
int arr[] = { 12, 11, 13, 5, 6 };
InsertionSort ob = new InsertionSort();
ob.sort(arr);
printArray(arr);
}
Merge Sort (Code):
Code Source (“Sorting Algorithms”)
/* Java program for Merge Sort */
class MergeSort
{
// Merges two subarrays of arr[].
// First subarray is arr[l..m]
// Second subarray is arr[m+1..r]
void merge(int arr[], int l, int m, int r)
{
// Find sizes of two subarrays to be merged
int n1 = m - l + 1;
int n2 = r - m;
/* Create temp arrays */
int L[] = new int[n1];
int R[] = new int[n2];
/*Copy data to temp arrays*/
for (int i = 0; i < n1; ++i)
L[i] = arr[l + i];
for (int j = 0; j < n2; ++j)
R[j] = arr[m + 1 + j];
/* Merge the temp arrays */
// Initial indexes of first and second subarrays
int i = 0, j = 0;
// Initial index of merged subarray array
int k = l;
while (i < n1 && j < n2) {
if (L[i] <= R[j]) {
arr[k] = L[i];
i++;
}
else {
arr[k] = R[j];
j++;
}
k++;
}
/* Copy remaining elements of L[] if any */
while (i < n1) {
arr[k] = L[i];
i++;
k++;
}
/* Copy remaining elements of R[] if any */
while (j < n2) {
arr[k] = R[j];
j++;
k++;
}
}
// Main function that sorts arr[l..r] using
// merge()
void sort(int arr[], int l, int r)
{
if (l < r) {
// Find the middle point
int m =l+ (r-l)/2;
// Sort first and second halves
sort(arr, l, m);
sort(arr, m + 1, r);
// Merge the sorted halves
merge(arr, l, m, r);
}
}
/* A utility function to print array of size n */
static void printArray(int arr[])
{
int n = arr.length;
for (int i = 0; i < n; ++i)
System.out.print(arr[i] + " ");
System.out.println();
}
// Driver code
public static void main(String args[])
{
int arr[] = { 12, 11, 13, 5, 6, 7 };
System.out.println("Given Array");
printArray(arr);
MergeSort ob = new MergeSort();
ob.sort(arr, 0, arr.length - 1);
System.out.println("\nSorted array");
printArray(arr);
}
}
Quick Sort (Code):
Code Source (“Sorting Algorithms”)
// Java implementation of QuickSort
import java.io.*;
class GFG{
// A utility function to swap two elements
static void swap(int[] arr, int i, int j)
{
int temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
/* This function takes last element as pivot, places
the pivot element at its correct position in sorted
array, and places all smaller (smaller than pivot)
to left of pivot and all greater elements to right
of pivot */
static int partition(int[] arr, int low, int high)
{
// pivot
int pivot = arr[high];
// Index of smaller element and
// indicates the right position
// of pivot found so far
int i = (low - 1);
for(int j = low; j <= high - 1; j++)
{
// If current element is smaller
// than the pivot
if (arr[j] < pivot)
{
// Increment index of
// smaller element
i++;
swap(arr, i, j);
}
}
swap(arr, i + 1, high);
return (i + 1);
}
/* The main function that implements QuickSort
arr[] --> Array to be sorted,
low --> Starting index,
high --> Ending index
*/
static void quickSort(int[] arr, int low, int high)
{
if (low < high)
{
// pi is partitioning index, arr[p]
// is now at right place
int pi = partition(arr, low, high);
// Separately sort elements before
// partition and after partition
quickSort(arr, low, pi - 1);
quickSort(arr, pi + 1, high);
}
}
// Function to print an array
static void printArray(int[] arr, int size)
{
for(int i = 0; i < size; i++)
System.out.print(arr[i] + " ");
System.out.println();
}
// Driver Code
public static void main(String[] args)
{
int[] arr = { 10, 7, 8, 9, 1, 5 };
int n = arr.length;
quickSort(arr, 0, n - 1);
System.out.println("Sorted array: ");
printArray(arr, n);
}
}
Heap Sort (Code):
Code Source (“Sorting Algorithms”)
// Java program for implementation of Heap Sort
public class HeapSort {
public void sort(int arr[])
{
int N = arr.length;
// Build heap (rearrange array)
for (int i = N / 2 - 1; i >= 0; i--)
heapify(arr, N, i);
// One by one extract an element from heap
for (int i = N - 1; i > 0; i--) {
// Move current root to end
int temp = arr[0];
arr[0] = arr[i];
arr[i] = temp;
// call max heapify on the reduced heap
heapify(arr, i, 0);
}
}
// To heapify a subtree rooted with node i which is
// an index in arr[]. n is size of heap
void heapify(int arr[], int N, int i)
{
int largest = i; // Initialize largest as root
int l = 2 * i + 1; // left = 2*i + 1
int r = 2 * i + 2; // right = 2*i + 2
// If left child is larger than root
if (l < N && arr[l] > arr[largest])
largest = l;
// If right child is larger than largest so far
if (r < N && arr[r] > arr[largest])
largest = r;
// If largest is not root
if (largest != i) {
int swap = arr[i];
arr[i] = arr[largest];
arr[largest] = swap;
// Recursively heapify the affected sub-tree
heapify(arr, N, largest);
}
}
/* A utility function to print array of size n */
static void printArray(int arr[])
{
int N = arr.length;
for (int i = 0; i < N; ++i)
System.out.print(arr[i] + " ");
System.out.println();
}
// Driver's code
public static void main(String args[])
{
int arr[] = { 12, 11, 13, 5, 6, 7 };
int N = arr.length;
// Function call
HeapSort ob = new HeapSort();
ob.sort(arr);
System.out.println("Sorted array is");
printArray(arr);
}
}
Counting Sort (Code):
Code Source (“Sorting Algorithms”)
// Java implementation of Counting Sort
class CountingSort {
void sort(char arr[])
{
int n = arr.length;
// The output character array that will have sorted arr
char output[] = new char[n];
// Create a count array to store count of individual
// characters and initialize count array as 0
int count[] = new int[256];
for (int i = 0; i < 256; ++i)
count[i] = 0;
// store count of each character
for (int i = 0; i < n; ++i)
++count[arr[i]];
// Change count[i] so that count[i] now contains actual
// position of this character in output array
for (int i = 1; i <= 255; ++i)
count[i] += count[i - 1];
// Build the output character array
// To make it stable we are operating in reverse order.
for (int i = n - 1; i >= 0; i--) {
output[count[arr[i]] - 1] = arr[i];
--count[arr[i]];
}
// Copy the output array to arr, so that arr now
// contains sorted characters
for (int i = 0; i < n; ++i)
arr[i] = output[i];
}
// Driver method
public static void main(String args[])
{
CountingSort ob = new CountingSort();
char arr[] = { 'g', 'e', 'e', 'k', 's', 'f', 'o',
'r', 'g', 'e', 'e', 'k', 's' };
ob.sort(arr);
System.out.print("Sorted character array is ");
for (int i = 0; i < arr.length; ++i)
System.out.print(arr[i]);
}
}Radix Sort (Code):
Code Source (“Sorting Algorithms”)
// Radix sort Java implementation
import java.io.*;
import java.util.*;
class Radix {
// A utility function to get maximum value in arr[]
static int getMax(int arr[], int n)
{
int mx = arr[0];
for (int i = 1; i < n; i++)
if (arr[i] > mx)
mx = arr[i];
return mx;
}
// A function to do counting sort of arr[] according to
// the digit represented by exp.
static void countSort(int arr[], int n, int exp)
{
int output[] = new int[n]; // output array
int i;
int count[] = new int[10];
Arrays.fill(count, 0);
// Store count of occurrences in count[]
for (i = 0; i < n; i++)
count[(arr[i] / exp) % 10]++;
// Change count[i] so that count[i] now contains
// actual position of this digit in output[]
for (i = 1; i < 10; i++)
count[i] += count[i - 1];
// Build the output array
for (i = n - 1; i >= 0; i--) {
output[count[(arr[i] / exp) % 10] - 1] = arr[i];
count[(arr[i] / exp) % 10]--;
}
// Copy the output array to arr[], so that arr[] now
// contains sorted numbers according to current
// digit
for (i = 0; i < n; i++)
arr[i] = output[i];
}
// The main function to that sorts arr[] of
// size n using Radix Sort
static void radixsort(int arr[], int n)
{
// Find the maximum number to know number of digits
int m = getMax(arr, n);
// Do counting sort for every digit. Note that
// instead of passing digit number, exp is passed.
// exp is 10^i where i is current digit number
for (int exp = 1; m / exp > 0; exp *= 10)
countSort(arr, n, exp);
}
// A utility function to print an array
static void print(int arr[], int n)
{
for (int i = 0; i < n; i++)
System.out.print(arr[i] + " ");
}
// Main driver method
public static void main(String[] args)
{
int arr[] = { 170, 45, 75, 90, 802, 24, 2, 66 };
int n = arr.length;
// Function Call
radixsort(arr, n);
print(arr, n);
}
}Bucket Sort (Code):
Code Source (“Sorting Algorithms”)
// Java program to sort an array Bucket Sort
// using bucket sort
import java.util.*;
import java.util.Collections;
class GFG {
// Function to sort arr[] of size n
// using bucket sort
static void bucketSort(float arr[], int n)
{
if (n <= 0)
return;
// 1) Create n empty buckets
@SuppressWarnings("unchecked")
Vector<Float>[] buckets = new Vector[n];
for (int i = 0; i < n; i++) {
buckets[i] = new Vector<Float>();
}
// 2) Put array elements in different buckets
for (int i = 0; i < n; i++) {
float idx = arr[i] * n;
buckets[(int)idx].add(arr[i]);
}
// 3) Sort individual buckets
for (int i = 0; i < n; i++) {
Collections.sort(buckets[i]);
}
// 4) Concatenate all buckets into arr[]
int index = 0;
for (int i = 0; i < n; i++) {
for (int j = 0; j < buckets[i].size(); j++) {
arr[index++] = buckets[i].get(j);
}
}
}
// Driver code
public static void main(String args[])
{
float arr[] = { (float)0.897, (float)0.565,
(float)0.656, (float)0.1234,
(float)0.665, (float)0.3434 };
int n = arr.length;
bucketSort(arr, n);
System.out.println("Sorted array is ");
for (float el : arr) {
System.out.print(el + " ");
}
}
}
References:
“Sorting Algorithms Explained with Examples in JavaScript, Python, Java, and C++.” FreeCodeCamp.Org, 4 Dec. 2019, https://www.freecodecamp.org/news/sorting-algorithms-explained-with-examples-in-python-java-and-c/.
Searching Algorithms – GeeksforGeeks. https://www.geeksforgeeks.org/searching-algorithms/. Accessed 14 Aug. 2022.
“Sorting Algorithms.” GeeksforGeeks, https://www.geeksforgeeks.org/sorting-algorithms/. Accessed 14 Aug. 2022.
Casey, Kela. “Let Us Understand Searching Algorithms.” CODERSERA, 5 Aug. 2020, https://codersera.com/blog/let-us-understand-searching-algorithms/.