Leetcode Merge Sorted Array problem solution

In the Leetcode Merge Sorted Array problem solution, You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n, representing the number of elements in nums1 and nums2 respectively.

Merge nums1 and nums2 into a single array sorted in non-decreasing order.

The final sorted array should not be returned by the function, but instead be stored inside the array nums1. To accommodate this, nums1 has a length of m + n, where the first m elements denote the elements that should be merged, and the last n elements are set to 0 and should be ignored. nums2 has a length of n.

Example 1:

Input: nums1 = [1,2,3,0,0,0], m = 3, nums2 = [2,5,6], n = 3
Output: [1,2,2,3,5,6]
Explanation: The arrays we are merging are [1,2,3] and [2,5,6].
The result of the merge is [1,2,2,3,5,6] with the underlined elements coming from nums1.

Example 2:

Input: nums1 = [1], m = 1, nums2 = [], n = 0
Output: [1]
Explanation: The arrays we are merging are [1] and [].
The result of the merge is [1].

Example 3:

Input: nums1 = [0], m = 0, nums2 = [1], n = 1
Output: [1]
Explanation: The arrays we are merging are [] and [1].
The result of the merge is [1].
Note that because m = 0, there are no elements in nums1. The 0 is only there to ensure the merge result can fit in nums1.

Constraints:

  • nums1.length == m + n
  • nums2.length == n
  • 0 <= m, n <= 200
  • 1 <= m + n <= 200
  • -109 <= nums1[i], nums2[j] <= 109

Solution in C Programming

void merge(int* nums1, int nums1Size, int m, int* nums2, int nums2Size, int n) {
  int end = m + n - 1;

  while (m > 0 || n > 0) {
    int x = m ? nums1[m - 1] : INT_MIN;
    int y = n ? nums2[n - 1] : INT_MIN;

    if (x > y) {
      nums1[end--] = x;
      m--;
    } else {
      nums1[end--] = y;
      n--;
    }
  }
}

Solution in C++ Programming

class Solution 
{
public:
    void merge(vector<int>& nums1, int m, vector<int>& nums2, int n) 
    {
        vector<int>v(n+m);
        int i=0,j=0,k=0;
        while(i<m && j<n)
        {
            v[k++]=nums1[i]<nums2[j]?nums1[i++]:nums2[j++];
        }
        while(i<m)
        {
            v[k++]=nums1[i++];
        }
        while(j<n)
        {
            v[k++]=nums2[j++];
        }
        i=0,k=0;
        while(i<m+n)
        {
            nums1[i++]=v[k++];
        }
    }
};

Solution in Java Programming

class Solution {
    public void merge(int[] nums1, int m, int[] nums2, int n) {
        for (int k = m-- + n-- - 1; k >= 0; k--) {
            nums1[k] = n < 0 || (m >= 0 && nums1[m] > nums2[n]) ? nums1[m--] : nums2[n--];
        }
    }
}

Solution in Python Programming

class Solution(object):
    def merge(self, nums1, m, nums2, n):
        a = m - 1
        b = n - 1
        c = m + n -1
        while(b >= 0):
            if a >= 0 and nums1[a] >= nums2[b]:
                nums1[c] = nums1[a]
                a -= 1            
            else:
                nums1[c] = nums2[b]
                b -= 1
            c -= 1

Solution in C# Programming

public class Solution {
    public void Merge(int[] nums1, int m, int[] nums2, int n) {
        if (nums1.Length < m+n) return;
        if (n == 0) return;
        //two pointers approach
        // start from the end, because both of these arrays are sorted already
        int first = m - 1;
        int second = n - 1;
        
        for(int k = m+n-1; k>=0; k--) {
            if (second < 0) break;
            if (first < 0) {
                nums1[k] = nums2[second--];
                continue;
            }
            if (nums1[first] > nums2[second]) {
                nums1[k] = nums1[first];
                first--;
            } else {
                nums1[k] = nums2[second];
                second--;
            }
        }
    }
}

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By Neha Singhal

Hi, my name is Neha singhal a software engineer and coder by profession. I like to solve coding problems that give me the power to write posts for this site.

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