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Merge pull request #83 from Ashirz/master
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Added sorting algorithms files
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abhishektripathi66 authored Dec 19, 2024
2 parents 1ed470f + 452b062 commit e60141b
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135 changes: 135 additions & 0 deletions src/Algorithms/SortingAlgorithms1.java
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/*Algorithms for Quick sort and Merge sort using recursive approach*/

public class SortingAlgorithms1 {

public static void main(String[] args) {
int array[] = { 5, 8, 9, 1, 2, 6, 4 };

sort(array, 0, array.length - 1);
System.out.println("After Quick Sort:");
printArray(array);

// Reset the array for subsequent sorts
array = new int[] { 5, 8, 9, 1, 2, 6, 4 };

divide(array);
System.out.println("After Merge Sort:");
printArray(array);

}

// Helper method to print the array
public static void printArray(int[] arr) {
for (int i : arr) {
System.out.print(i + " ");
}
System.out.println();
}

// Merge sort methods divide & conquer
public static void divide(int[] array) {

int length = array.length;

int mid = length / 2;

if (length <= 1)
return;

// Subarrays
int[] LeftArray = new int[mid];
int[] RightArray = new int[length - mid];

int i = 0, j = 0;

// populating subarrays
for (; i < length; i++) {
if (i < mid) {
LeftArray[i] = array[i];

} else {
RightArray[j] = array[i];
j++;
}

}

divide(LeftArray);

divide(RightArray);

conquer(LeftArray, RightArray, array);

}

private static void conquer(int[] leftArray, int[] rightArray, int[] array) {
int length = array.length;
int leftsize = length / 2;
int rightsize = length - leftsize;

int l = 0, r = 0, i = 0;

// populating the sorted array back
while (l < leftsize && r < rightsize) {
if (leftArray[l] < rightArray[r]) {
array[i] = leftArray[l];
i++;
l++;
} else {
array[i] = rightArray[r];
i++;
r++;
}

}

while (l < leftsize) {
array[i] = leftArray[l];
i++;
l++;
}

while (r < rightsize) {
array[i] = rightArray[r];
i++;
r++;
}

}

// Quick Sort methods sort and partition
private static void sort(int[] array, int start, int end) {
if (end <= start)
return;

int pivot = partition(array, start, end);
sort(array, start, pivot - 1);
sort(array, pivot + 1, end);

}

private static int partition(int[] array, int start, int end) {

int pivot = array[end];
int j = start-1;

for (int i=start; i<array.length; i++) {
if(array[i]<pivot) {
j++;
int temp;

temp = array[i];
array[i] = array[j];
array[j] = temp;
}
}

j++;

int temp = array[j];
array[j] = array[end];
array[end] =temp;

return j;
}
}
105 changes: 105 additions & 0 deletions src/Algorithms/SortingAlgorithms2.java
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/*Bubble sort, Selection sort and Insertion sort Algorithms using iterative approach*/

public class SortingAlgorithms2 {

public static void main(String[] args) {
int arr[] = { 5, 8, 9, 1, 2, 6, 4 };

System.out.println("Original Array:");
printArray(arr);

bubbleSort(arr);
System.out.println("After Bubble Sort:");
printArray(arr);

// Reset the array for subsequent sorts
arr = new int[] { 5, 8, 9, 1, 2, 6, 4 };

selectionSort(arr);
System.out.println("After Selection Sort:");
printArray(arr);

// Reset the array for subsequent sorts
arr = new int[] { 5, 8, 9, 1, 2, 6, 4 };

insertionSort(arr);
System.out.println("After Insertion Sort:");
printArray(arr);
}

/**
* Sorts an array using the Bubble Sort algorithm.
* Time Complexity: O(n^2) in the worst and average case.
* Space Complexity: O(1)
*
* @param arr the array to be sorted
*/
public static 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] and arr[j+1]
int temp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = temp;
}
}
}
}

/**
* Sorts an array using the Selection Sort algorithm.
* Time Complexity: O(n^2) in all cases.
* Space Complexity: O(1)
*
* @param arr the array to be sorted
*/
public static void selectionSort(int[] arr) {
int n = arr.length;
for (int i = 0; i < n - 1; i++) {
int minIndex = i;
for (int j = i + 1; j < n; j++) {
if (arr[j] < arr[minIndex]) {
minIndex = j;
}
}
// Swap arr[i] and arr[minIndex]
int temp = arr[i];
arr[i] = arr[minIndex];
arr[minIndex] = temp;
}
}

/**
* Sorts an array using the Insertion Sort algorithm.
* Time Complexity: O(n^2) in the worst case, O(n) in the best case.
* Space Complexity: O(1)
*
* @param arr the array to be sorted
*/
public static void insertionSort(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;
}
}

// Helper method to print the array
public static void printArray(int[] arr) {
for (int i : arr) {
System.out.print(i + " ");
}
System.out.println();
}
}

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