KK's blog

每天积累多一些

0%

LeetCode 088 Merge Sorted Array

LeetCode

<div>

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:

<pre>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 [<u>1</u>,<u>2</u>,2,<u>3</u>,5,6] with the underlined elements coming from nums1. </pre>

Example 2:

<pre>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]. </pre>

Example 3:

<pre>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. </pre>

Constraints:

  • nums1.length == m + n
  • nums2.length == n
  • 0 <= m, n <= 200
  • 1 <= m + n <= 200
  • -10<sup>9</sup> <= nums1[i], nums2[j] <= 10<sup>9</sup>

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

</div>

题目大意:

合并两有序数组,最后结果储存在第一个数组

解题思路:

从后往前合并

解题步骤:

N/A

注意事项:

  1. i从m - 1而不是len(nums1) - 1开始,m和n是数组实际长度。‘
  2. i小于0就取j那一边,而nums1[i] < nums2[j]就必须保证j也大于等于0,i肯定是了。

算法I解题思路(推荐):

Python代码:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
"""
Do not return anything, modify nums1 in-place instead.
"""
i, j, k= m - 1, n - 1, len(nums1) - 1
while i >= 0 or j >= 0:
if i < 0 or (j >= 0 and nums1[i] < nums2[j]):
nums1[k] = nums2[j]
j -= 1
k -= 1
else:
nums1[k] = nums1[i]
i -= 1
k -= 1

算法II解题思路:

Python代码:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
i, j, k = m - 1, n - 1, len(nums1) - 1
while i >= 0 and j >= 0:
if nums1[i] > nums2[j]:
nums1[k] = nums1[i]
k -= 1
i -= 1
else:
nums1[k] = nums2[j]
k -= 1
j -= 1
while i >= 0:
nums1[k] = nums1[i]
k -= 1
i -= 1
while j >= 0:
nums1[k] = nums2[j]
k -= 1
j -= 1

算法分析:

时间复杂度为O(n + m),空间复杂度O(1)

Free mock interview