4Sum II⚓︎
Description⚓︎
Given four integer arrays nums1, nums2, nums3, and nums4 all of length n, return the number of tuples (i, j, k, l) such that:
0 <= i, j, k, l < nnums1[i] + nums2[j] + nums3[k] + nums4[l] == 0
Example 1:
- Input:
nums1 = [1,2], nums2 = [-2,-1], nums3 = [-1,2], nums4 = [0,2] - Output: 2
Explanation:
The two tuples are:
(0, 0, 0, 1) -> nums1[0] + nums2[0] + nums3[0] + nums4[1] = 1 + (-2) + (-1) + 2 = 0(1, 1, 0, 0) -> nums1[1] + nums2[1] + nums3[0] + nums4[0] = 2 + (-1) + (-1) + 0 = 0
Example 2:
- Input:
nums1 = [0], nums2 = [0], nums3 = [0], nums4 = [0] - Output: 1
Constraints:
n == nums1.lengthn == nums2.lengthn == nums3.lengthn == nums4.length1 <= n <= 200-2^28 <= nums1[i], nums2[i], nums3[i], nums4[i] <= 2^28
Solution⚓︎
Hash Map⚓︎
Steps to solve this problem:
- First, define an
unordered_map, put the key in the sum of the two numbersnum1andnum2, and the value in the number of times the sum of the two numbersnum1andnum2occurs. - Iterate through the large
nums1andnums2arrays, count the sum of the elements of the two arrays and the number of occurrences, and put them into the map. - Define the int variable
resto count the number of timesa + b + c + d == 0. - Iterate through the big
nums3and bignums4arrays, and find out if0 - (c + d)has appeared in the map, then use res to count the value corresponding to the key in the map, that is, the number of times it has appeared. - Finally, return the count value
rescan be.
Note: Hash Mapping Indexing
Time and space complexity: \(O(n^2)\)