Implement 4 sorting algorithms in a Java \" Sort \" class. ( insertion sort, sel
ID: 3552206 • Letter: I
Question
Implement 4 sorting algorithms in a Java "Sort" class. ( insertion sort, selection sort and quicksort, and mergesort)
count the number of comparisons made.
Make sure each sort is producing sorted data and a correct metric count. Pause each iterative sort after one repetition of the outer loop and pause Quicksort after each Partition is complete.
Decide on a window size to display your sorting data. The window size must be N X N and its side length constrains the size of the array of data to be sorted. The example app uses a 500 X 500 window thus the array size is also 500.
Explanation / Answer
public class MyInsertionSort { public static void main(String[] args) { int[] input = { 4, 2, 9, 6, 23, 12, 34, 0, 1 }; insertionSort(input); } private static void printNumbers(int[] input) { for (int i = 0; i < input.length; i++) { System.out.print(input[i] + ", "); } System.out.println(" "); } public static void insertionSort(int array[]) { int n = array.length; for (int j = 1; j < n; j++) { int key = array[j]; int i = j-1; while ( (i > -1) && ( array [i] > key ) ) { array [i+1] = array [i]; i--; } array[i+1] = key; printNumbers(array); } } }
public class MySelectionSort { public static int[] doSelectionSort(int[] arr){ for (int i = 0; i < arr.length - 1; i++) { int index = i; for (int j = i + 1; j < arr.length; j++) if (arr[j] < arr[index]) index = j; int smallerNumber = arr[index]; arr[index] = arr[i]; arr[i] = smallerNumber; } return arr; } public static void main(String a[]){ int[] arr1 = {10,34,2,56,7,67,88,42}; int[] arr2 = doSelectionSort(arr1); for(int i:arr2){ System.out.print(i); System.out.print(", "); } } }
public class Quicksort { private int[] numbers; private int number; public void sort(int[] values) { // check for empty or null array if (values ==null || values.length==0){ return; } this.numbers = values; number = values.length; quicksort(0, number - 1); } private void quicksort(int low, int high) { int i = low, j = high; // Get the pivot element from the middle of the list int pivot = numbers[low + (high-low)/2]; // Divide into two lists while (i <= j) { // If the current value from the left list is smaller then the pivot // element then get the next element from the left list while (numbers[i] < pivot) { i++; } // If the current value from the right list is larger then the pivot // element then get the next element from the right list while (numbers[j] > pivot) { j--; } // If we have found a values in the left list which is larger then // the pivot element and if we have found a value in the right list // which is smaller then the pivot element then we exchange the // values. // As we are done we can increase i and j if (i <= j) { exchange(i, j); i++; j--; } } // Recursion if (low < j) quicksort(low, j); if (i < high) quicksort(i, high); } private void exchange(int i, int j) { int temp = numbers[i]; numbers[i] = numbers[j]; numbers[j] = temp; } }
public class Mergesort { private int[] numbers; private int[] helper; private int number; public void sort(int[] values) { this.numbers = values; number = values.length; this.helper = new int[number]; mergesort(0, number - 1); } private void mergesort(int low, int high) { // check if low is smaller then high, if not then the array is sorted if (low < high) { // Get the index of the element which is in the middle int middle = low + (high - low) / 2; // Sort the left side of the array mergesort(low, middle); // Sort the right side of the array mergesort(middle + 1, high); // Combine them both merge(low, middle, high); } } private void merge(int low, int middle, int high) { // Copy both parts into the helper array for (int i = low; i <= high; i++) { helper[i] = numbers[i]; } int i = low; int j = middle + 1; int k = low; // Copy the smallest values from either the left or the right side back // to the original array while (i <= middle && j <= high) { if (helper[i] <= helper[j]) { numbers[k] = helper[i]; i++; } else { numbers[k] = helper[j]; j++; } k++; } // Copy the rest of the left side of the array into the target array while (i <= middle) { numbers[k] = helper[i]; k++; i++; } } }
public class MyInsertionSort { public static void main(String[] args) { int[] input = { 4, 2, 9, 6, 23, 12, 34, 0, 1 }; insertionSort(input); } private static void printNumbers(int[] input) { for (int i = 0; i < input.length; i++) { System.out.print(input[i] + ", "); } System.out.println(" "); } public static void insertionSort(int array[]) { int n = array.length; for (int j = 1; j < n; j++) { int key = array[j]; int i = j-1; while ( (i > -1) && ( array [i] > key ) ) { array [i+1] = array [i]; i--; } array[i+1] = key; printNumbers(array); } } }
public class MySelectionSort { public static int[] doSelectionSort(int[] arr){ for (int i = 0; i < arr.length - 1; i++) { int index = i; for (int j = i + 1; j < arr.length; j++) if (arr[j] < arr[index]) index = j; int smallerNumber = arr[index]; arr[index] = arr[i]; arr[i] = smallerNumber; } return arr; } public static void main(String a[]){ int[] arr1 = {10,34,2,56,7,67,88,42}; int[] arr2 = doSelectionSort(arr1); for(int i:arr2){ System.out.print(i); System.out.print(", "); } } }
public class Quicksort { private int[] numbers; private int number; public void sort(int[] values) { // check for empty or null array if (values ==null || values.length==0){ return; } this.numbers = values; number = values.length; quicksort(0, number - 1); } private void quicksort(int low, int high) { int i = low, j = high; // Get the pivot element from the middle of the list int pivot = numbers[low + (high-low)/2]; // Divide into two lists while (i <= j) { // If the current value from the left list is smaller then the pivot // element then get the next element from the left list while (numbers[i] < pivot) { i++; } // If the current value from the right list is larger then the pivot // element then get the next element from the right list while (numbers[j] > pivot) { j--; } // If we have found a values in the left list which is larger then // the pivot element and if we have found a value in the right list // which is smaller then the pivot element then we exchange the // values. // As we are done we can increase i and j if (i <= j) { exchange(i, j); i++; j--; } } // Recursion if (low < j) quicksort(low, j); if (i < high) quicksort(i, high); } private void exchange(int i, int j) { int temp = numbers[i]; numbers[i] = numbers[j]; numbers[j] = temp; } }
public class Mergesort { private int[] numbers; private int[] helper; private int number; public void sort(int[] values) { this.numbers = values; number = values.length; this.helper = new int[number]; mergesort(0, number - 1); } private void mergesort(int low, int high) { // check if low is smaller then high, if not then the array is sorted if (low < high) { // Get the index of the element which is in the middle int middle = low + (high - low) / 2; // Sort the left side of the array mergesort(low, middle); // Sort the right side of the array mergesort(middle + 1, high); // Combine them both merge(low, middle, high); } } private void merge(int low, int middle, int high) { // Copy both parts into the helper array for (int i = low; i <= high; i++) { helper[i] = numbers[i]; } int i = low; int j = middle + 1; int k = low; // Copy the smallest values from either the left or the right side back // to the original array while (i <= middle && j <= high) { if (helper[i] <= helper[j]) { numbers[k] = helper[i]; i++; } else { numbers[k] = helper[j]; j++; } k++; } // Copy the rest of the left side of the array into the target array while (i <= middle) { numbers[k] = helper[i]; k++; i++; } } }
public class MySelectionSort { public static int[] doSelectionSort(int[] arr){ for (int i = 0; i < arr.length - 1; i++) { int index = i; for (int j = i + 1; j < arr.length; j++) if (arr[j] < arr[index]) index = j; int smallerNumber = arr[index]; arr[index] = arr[i]; arr[i] = smallerNumber; } return arr; } public static void main(String a[]){ int[] arr1 = {10,34,2,56,7,67,88,42}; int[] arr2 = doSelectionSort(arr1); for(int i:arr2){ System.out.print(i); System.out.print(", "); } } }
public class Quicksort { private int[] numbers; private int number; public void sort(int[] values) { // check for empty or null array if (values ==null || values.length==0){ return; } this.numbers = values; number = values.length; quicksort(0, number - 1); } private void quicksort(int low, int high) { int i = low, j = high; // Get the pivot element from the middle of the list int pivot = numbers[low + (high-low)/2]; // Divide into two lists while (i <= j) { // If the current value from the left list is smaller then the pivot // element then get the next element from the left list while (numbers[i] < pivot) { i++; } // If the current value from the right list is larger then the pivot // element then get the next element from the right list while (numbers[j] > pivot) { j--; } // If we have found a values in the left list which is larger then // the pivot element and if we have found a value in the right list // which is smaller then the pivot element then we exchange the // values. // As we are done we can increase i and j if (i <= j) { exchange(i, j); i++; j--; } } // Recursion if (low < j) quicksort(low, j); if (i < high) quicksort(i, high); } private void exchange(int i, int j) { int temp = numbers[i]; numbers[i] = numbers[j]; numbers[j] = temp; } }
public class Mergesort { private int[] numbers; private int[] helper; private int number; public void sort(int[] values) { this.numbers = values; number = values.length; this.helper = new int[number]; mergesort(0, number - 1); } private void mergesort(int low, int high) { // check if low is smaller then high, if not then the array is sorted if (low < high) { // Get the index of the element which is in the middle int middle = low + (high - low) / 2; // Sort the left side of the array mergesort(low, middle); // Sort the right side of the array mergesort(middle + 1, high); // Combine them both merge(low, middle, high); } } private void merge(int low, int middle, int high) { // Copy both parts into the helper array for (int i = low; i <= high; i++) { helper[i] = numbers[i]; } int i = low; int j = middle + 1; int k = low; // Copy the smallest values from either the left or the right side back // to the original array while (i <= middle && j <= high) { if (helper[i] <= helper[j]) { numbers[k] = helper[i]; i++; } else { numbers[k] = helper[j]; j++; } k++; } // Copy the rest of the left side of the array into the target array while (i <= middle) { numbers[k] = helper[i]; k++; i++; } } }
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