Median of Two Sorted Arrays,两个有序数组的中位数
题目
英文:
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)).中文:两个排好序的数组,找到两个数组的中间数,要求时间复杂度O(log (m+n))
举例:
nums1 = [1, 3] nums2 = [2] The median is 2.0
nums1 = [1, 2] nums2 = [3, 4] The median is (2 + 3)/2 = 2.5
直接合并两个数组,直至合并至中位数
class Solution(object):
def findMedianSortedArrays(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: float
"""
len1,len2 = len(nums1),len(nums2)
if len1 == 0 and len2 == 0:
return 0
median = int((len1 + len2)/2) #排序到中间位即可
target = []
index1 = index2 = 0
#如果偶数
while (index1 + index2) <= median and index1 < len1 and index2 <len2:
if nums1[index1] < nums2[index2]:
target.append(nums1[index1])
index1 += 1
else:
target.append(nums2[index2])
index2 += 1
#未取到中间位的数,便有一个list空了,list衔接
if (index1 + index2) <= median:
if index1 < len1:
target.extend(nums1[index1:])
if index2 < len2:
target.extend(nums2[index2:])
return target[median] if (len1 + len2)%2 else float(target[median] + target[median - 1])/2
二分查找两个数组的第k个数
详细解释见http://blog.youkuaiyun.com/lis_12/article/details/53128594
class Solution(object):
def findMedianSortedArrays(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: float
"""
len1,len2 = len(nums1),len(nums2)
if (len1 + len2) & 1: #奇数个
return self.fun(nums1,nums2,(len1 + len2)/2 + 1)
else:#偶数个
return float(self.fun(nums1,nums2,(len1 + len2)/2 + 1) + self.fun(nums1,nums2,(len1 + len2)/2))/2
def fun(self,nums1,nums2,k):
#如果一个list为空,肯定返回另外一个的第k个元素
if len(nums2) == 0:
return nums1[k - 1]
#保证nums1长度大于nums2
if len(nums2) > len(nums1):
return self.fun(nums2,nums1,k)
#取第一个元素,肯定是要比两个list的首个元素
if k == 1:
return min(nums1[0],nums2[0])
q = min(k / 2, len(nums2))#这里很容易,出错,防止越界.....
p = k - q
if nums1[p - 1] < nums2[q - 1]:
return self.fun(nums1[p:],nums2,k - p)
elif nums1[p - 1] > nums2[q - 1]:
return self.fun(nums1,nums2[q:],k - q)
else:
return nums1[p - 1]