// Source : https://leetcode.com/problems/total-hamming-distance/ // Author : Calinescu Valentin // Date : 2017-01-09 /*************************************************************************************** * * The Hamming distance between two integers is the number of positions at which the * corresponding bits are different. * * Now your job is to find the total Hamming distance between all pairs of the given * numbers. * * Example: * Input: 4, 14, 2 * * Output: 6 * * Explanation: In binary representation, the 4 is 0100, 14 is 1110, and 2 is 0010 (just * showing the four bits relevant in this case). So the answer will be: * HammingDistance(4, 14) + HammingDistance(4, 2) + HammingDistance(14, 2) = 2 + 2 + 2 = 6. * * Note: * Elements of the given array are in the range of 0 to 10^9 * Length of the array will not exceed 10^4. ***************************************************************************************/ /* * Solution 1 - O(N) * * The total Hamming Distance is equal to the sum of all individual Hamming Distances * between every 2 numbers. However, given that this depends on the individual bits of * each number, we can see that we only need to compute the number of 1s and 0s for each * bit position. For example, we look at the least significant bit. Given that we need to * calculate the Hamming Distance for each pair of 2 numbers, we see that the answer is * equal to the number of 1s at this position * the number of 0s(which is the total number * of numbers - the number of 1s), because for each 1 we need to have a 0 to form a pair. * Thus, the solution is the sum of all these distances at every position. */ class Solution { public: int totalHammingDistance(vector<int>& nums) { long long solution = 0; int ones[31]; for(int i = 0; i < 31; i++) ones[i] = 0; for(vector<int>::iterator it = nums.begin(); it != nums.end(); ++it) { for(int i = 0; (1 << i) <= *it; i++) //i is the position of the bit if((1 << i) & *it)//to see if the bit at i-position is a 1 ones[i]++; } for(int i = 0; i < 31; i++) solution += ones[i] * (nums.size() - ones[i]); return solution; } };