Merge Sorted Array(LeetCode No.88)

Question:

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

Follow up: Can you come up with an algorithm that runs in O(m + n) time?

Solution:

My C Version:

Initially, It's easy for us to learn that we can compare the value of them and insert nums2 to its proper position in num1.

 

 

void merge(int* nums1, int nums1Size, int m, int* nums2, int nums2Size, int n){
    for(int index = m + n - 1, p1 = m - 1, p2 = n - 1; index >= 0;index--)
    {
        if(nums1[p1] < nums2[p2])// nums[p1] < nums[p2] move to num1[index], move p2 
            nums1[index] = nums2[p2--];
    }
}

But it's hard for us to handle the conflict when it comes to nums1[p1] = 3 and nums[p2] = 2.One possible version is that we can move 3 backforward. Therefore, we added an if branch statement.

 

void merge(int* nums1, int nums1Size, int m, int* nums2, int nums2Size, int n){
    for(int index = m + n - 1, p1 = m - 1, p2 = n - 1; index >= 0;index--)
    {
        if(nums1[p1] < nums2[p2])// nums[p1] < nums[p2] move to num1[index], move p2 
            nums1[index] = nums2[p2--];
        else if(nums2[p2] < nums1[p1])//nums[p2] < nums[p1] move to num1[index], move p1 
            nums1[index] = nums1[p1--];
    }
}

However, you will find that p2 come to its end.Therefore, we just need to insert and take each item of num1.

void merge(int* nums1, int nums1Size, int m, int* nums2, int nums2Size, int n){
    for(int index = m + n - 1, p1 = m - 1, p2 = n - 1; index >= 0;index--)
    {
        if(p1 < 0)//nums1 run out, get nums2
            nums1[index] = nums2[p2--];
        else if(p2 < 0)//nums2 run out, nums1 is fun ,break
            break;
        else if(nums1[p1] < nums2[p2])// nums[p1] < nums[p2] move to num1[index], move p2 
            nums1[index] = nums2[p2--];
        else if(nums2[p2] < nums1[p1])//nums[p2] < nums[p1] move to num1[index], move p1 
            nums1[index] = nums1[p1--];
    }
}

 

Key word:Two pointer,Array,Sorting,Merge

### LeetCode Problem 88 Python 解法 LeetCode88 题名为 **Merge Sorted Array**,其目标是将两个已排序数组合并成一个有序数组。以下是该问题的一个高效解决方案: #### 合并排序数组的核心逻辑 为了优化空间复杂度,通常采用从后向前填充的方法来解决此问题。这种方法避免了频繁移动元素的操作,从而提高了效率[^1]。 ```python class Solution: def merge(self, nums1, m, nums2, n): """ Do not return anything, modify nums1 in-place instead. """ p1, p2 = m - 1, n - 1 tail = m + n - 1 while p1 >= 0 and p2 >= 0: if nums1[p1] > nums2[p2]: nums1[tail] = nums1[p1] p1 -= 1 else: nums1[tail] = nums2[p2] p2 -= 1 tail -= 1 # 如果nums2还有剩余,则将其复制到nums1前面部分 nums1[:p2 + 1] = nums2[:p2 + 1] ``` 上述代码通过双指针技术实现了原地修改 `nums1` 的功能。它的时间复杂度为 \(O(m+n)\),其中 \(m\) 和 \(n\) 分别表示 `nums1` 和 `nums2` 中有效元素的数量。 --- #### 边界条件处理 需要注意的是,在某些情况下,如果 `nums1` 原始数据已经全部被覆盖完毕而 `nums2` 还有未处理的数据,则需要额外的步骤将这些数据拷贝至 `nums1` 的前部位置[^2]。 --- #### 测试用例验证 下面提供了一些测试用例以帮助理解算法的行为: ```python # 初始化对象实例 solution = Solution() # 定义输入参数 nums1 = [1, 2, 3, 0, 0, 0] m = 3 nums2 = [2, 5, 6] n = 3 # 调用方法执行操作 solution.merge(nums1, m, nums2, n) print(nums1) # 输出应为 [1, 2, 2, 3, 5, 6] ``` 以上代码展示了如何调用函数以及预期的结果形式[^3]。 ---
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