Divide and Conquer is a fundamental algorithm design paradigm in computer science, used to solve various types of problems by dividing them into smaller subproblems, solving the subproblems recursively, and then combining their solutions.
The divide and conquer strategy works by:
Merge Sort is a classic example of divide and conquer.
public class MergeSort { // Merges two subarrays of arr[] 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) / 2; // Sort first and second halves sort(arr, l, m); sort(arr, m + 1, r); // Merge the sorted halves merge(arr, l, m, r); } } }