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Exercise_4.java
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// Time Complexity : O(n log n)
// Space Complexity : O(n)
// Did this code successfully run on Leetcode : Yes
// Any problem you faced while coding this :
// No major issues. The tricky part was correctly dividing the array,
// creating temporary subarrays, and ensuring all remaining elements
// from each subarray were copied back into the main array.
// I used the classic Merge Sort algorithm, which divides the array
// into two halves recursively until each subarray has one element.
// Then the merge() function is used to combine the two sorted halves
// by comparing elements and placing them in the correct order.
// The merge step uses temporary arrays to store left and right halves.
// Finally, the sorted values are copied back into the original array.
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)
{
int n1 = m - l + 1;
int n2 = r - m;
int L[] = new int[n1];
int R[] = new int[n2];
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];
int i = 0, j = 0;
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++;
}
while (i < n1){
arr[k] = L[i];
i++;
k++;
}while(j < n2){
arr[k] = R[j];
j++;
k++;
}//Your code here
}
// Main function that sorts arr[l..r] using
// merge()
void sort(int arr[], int l, int r)
{
if(l < r){
int m =(l + r) / 2;
sort(arr, l, m);
sort(arr, m + 1, r);
merge(arr, l, m, r);
}//Write your code here
//Call mergeSort from here
}
/* 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, 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);
}
}