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majorityElement.II.cpp
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majorityElement.II.cpp
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// Source : https://leetcode.com/problems/majority-element-ii/
// Author : Hao Chen
// Date : 2015-07-03
/**********************************************************************************
*
* Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times.
* The algorithm should run in linear time and in O(1) space.
*
* How many majority elements could it possibly have?
* Do you have a better hint? Suggest it!
**********************************************************************************/
class Solution {
public:
//O(n) Space compexity
vector<int> majorityElement01(vector<int>& nums) {
vector<int> result;
unordered_map<int, int> counts;
int n = nums.size();
for(auto item : nums){
counts[item]++;
if (counts[item] > n/3 ){
result.push_back(item);
counts[item] = -n; // Tricky: make sure the item only can be put into result once.
}
}
return result;
}
//We know, there could be at most two numbers can be more than 1/3
//so, same as Majority Element I problem, we can have two counters.
vector<int> majorityElement02(vector<int>& nums) {
if(nums.size()<=1) return nums;
//the same algorithm as Majority Element I problem
int majority1=0, majority2=0, cnt1=0, cnt2=0;
for(auto item: nums) {
if (cnt1 == 0) {
majority1 = item;
cnt1 = 1;
} else if (majority1 == item) {
cnt1++;
} else if (cnt2 == 0) {
majority2 = item;
cnt2 = 1;
} else if (majority2 == item) {
cnt2++;
} else {
cnt1--;
cnt2--;
}
}
//re-check it again, in case there has less than two numbers of majority
cnt1 = cnt2 = 0;
for (auto item : nums) {
if (majority1 == item) cnt1++;
else if (majority2 == item) cnt2++;
}
vector<int> result;
if (cnt1 > nums.size()/3) result.push_back(majority1);
if (cnt2 > nums.size()/3) result.push_back(majority2);
return result;
}
vector<int> majorityElement(vector<int>& nums) {
return majorityElement02(nums);
return majorityElement01(nums);
}
};