88. Merge Sorted Array
Problem Statement
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
Intuition
Approach:
One can do in extra space, sorting the array
But we want no extra space and O(m+n)
So we start the pointers from behind i,j
We want to exhaust j pointer of second array, J exhausted means, All went to correct
Position
Links
https://leetcode.com/problems/merge-sorted-array/description/
Video Links
Approach 1:
Pointers
class Solution {
public:
void merge(vector<int>& nums1, int m, vector<int>& nums2, int n) {
int i=m-1, j=n-1, k=m+n-1;
while(i>=0 and j>=0){
if(nums1[i] > nums2[j])
nums1[k--] = nums1[i--];
else
nums1[k--] = nums2[j--];
}
while(j>=0)
nums1[k--] = nums2[j--];
}
};
Approach 2:
Approach 3:
Approach 4:
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