Given two arrays, write a function to compute their intersection.
Example:
Given nums1 = [1, 2, 2, 1], nums2 = [2, 2], return [2, 2].
Note:
- Each element in the result should appear as many times as it shows in both arrays.
- The result can be in any order.
Follow up:
- What if the given array is already sorted? How would you optimize your algorithm?
- What if nums1's size is small compared to num2's size? Which algorithm is better?
- What if elements of nums2 are stored on disk, and the memory is limited such that you cannot load all elements into the memory at once?
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class Solution(object):
def intersect(self, nums1, nums2):
nums1.sort()
nums2.sort()
res = []
i = 0
j = 0
while i < (len(nums1)) and j < (len(nums2)):
#print i,j
if nums1[i] == nums2[j]:
res += nums1[i],
i += 1
j += 1
elif nums1[i] < nums2[j]:
i += 1
else:
j += 1
return res
数组交集计算

本文介绍了一个计算两个数组交集的方法,通过先对两个数组进行排序,然后遍历两个数组找到相同的元素并将其加入到结果数组中。此外还讨论了不同场景下的算法优化策略。
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