【leetcode】4. Median of Two Sorted Arrays(Python & C++)

来源:互联网 发布:tushare mysql 编辑:程序博客网 时间:2024/06/07 01:30

4. Median of Two Sorted Arrays

题目链接

4.1 题目描述:

There are two sorted arrays nums1 and nums2 of size m and n respectively.

Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).

Example 1:

nums1 = [1, 3]
nums2 = [2]

The median is 2.0

Example 2:

nums1 = [1, 2]
nums2 = [3, 4]

The median is (2 + 3)/2 = 2.5

4.2 解题思路:

  1. 思路一:首先处理特殊情况,如果其中一个数组为空,则根据长度可直接返回另一个数组的中位数。否则同时遍历两个数组,将其按照顺序合并到一个数组中,然后根据长度即可返回中位数。

4.3 C++代码:

1、思路一代码(82ms):

class Solution93_1 {public:    double findMedianSortedArrays(vector<int>& nums1, vector<int>& nums2) {        if (nums1.size() == 0 && nums2.size() == 0)            return 0;        if (nums1.size() == 0)        {            int l = nums2.size() / 2;            if (nums2.size() % 2 == 0)                return double(nums2[l - 1] + nums2[l]) / 2;            else                return double(nums2[l]);        }        if (nums2.size() == 0)        {            int l = nums1.size() / 2;            if (nums1.size() % 2 == 0)                return double(nums1[l - 1] + nums1[l]) / 2;            else                return double(nums1[l]);        }        int ll = (nums1.size() + nums2.size()) / 2;        int lu = (nums1.size() + nums2.size()) % 2;        int i = 0, j = 0;        vector<int>a;        while (i < nums1.size() && j < nums2.size())        {            if (nums1[i] <= nums2[j])            {                a.push_back(nums1[i]);                i++;            }            else            {                a.push_back(nums2[j]);                j++;            }        }        while (i < nums1.size())        {            a.push_back(nums1[i]);            i++;        }        while (j < nums2.size())        {            a.push_back(nums2[j]);            j++;        }        if (lu == 0)            return double(a[ll-1] + a[ll]) / 2;        else            return double(a[ll]);    }};

4.4 Python代码:

1、思路一代码(118ms):

class Solution(object):    def findMedianSortedArrays(self, nums1, nums2):        """        :type nums1: List[int]        :type nums2: List[int]        :rtype: float        """        if len(nums1)==0 and len(nums2)==0:            return 0        if len(nums1)==0:        l = len(nums2) / 2        if len(nums2)% 2 == 0:        return float(nums2[l - 1] + nums2[l]) / 2        else:        return float(nums2[l])              if len(nums2)==0:        l = len(nums1) / 2        if len(nums1)% 2 == 0:        return float(nums1[l - 1] + nums1[l]) / 2        else:        return float(nums1[l])      ll = (len(nums1) + len(nums2)) / 2    lu = (len(nums1) + len(nums2)) % 2    i = 0    j = 0    a=[]    while i<len(nums1) and j<len(nums2):        if nums1[i] <= nums2[j]:        a.append(nums1[i])        i+=1        else:        a.append(nums2[j])        j+=1    while i<len(nums1) :        a.append(nums1[i])        i+=1            while j<len(nums2):        a.append(nums2[j])        j+=1            if lu == 0:        return float(a[ll-1]+a[ll])/2    else:        return float(a[ll])