• [LeetCode] 229. Majority Element II 多数元素 II


    Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times.

    Note: The algorithm should run in linear time and in O(1) space.

    Example 1:

    Input: [3,2,3]
    Output: [3]

    Example 2:

    Input: [1,1,1,3,3,2,2,2]
    Output: [1,2]

    169. Majority Element 的拓展,这题要求的是出现次数大于n/3的元素,并且限定了时间和空间复杂度,因此不能排序,不能使用哈希表。

    解法:Boyer-Moore多数投票算法 Boyer–Moore majority vote algorithm,T:O(n)  S: O(1) 摩尔投票法 Moore Voting

    Java:

    public List<Integer> majorityElement(int[] nums) {
    	if (nums == null || nums.length == 0)
    		return new ArrayList<Integer>();
    	List<Integer> result = new ArrayList<Integer>();
    	int number1 = nums[0], number2 = nums[0], count1 = 0, count2 = 0, len = nums.length;
    	for (int i = 0; i < len; i++) {
    		if (nums[i] == number1)
    			count1++;
    		else if (nums[i] == number2)
    			count2++;
    		else if (count1 == 0) {
    			number1 = nums[i];
    			count1 = 1;
    		} else if (count2 == 0) {
    			number2 = nums[i];
    			count2 = 1;
    		} else {
    			count1--;
    			count2--;
    		}
    	}
    	count1 = 0;
    	count2 = 0;
    	for (int i = 0; i < len; i++) {
    		if (nums[i] == number1)
    			count1++;
    		else if (nums[i] == number2)
    			count2++;
    	}
    	if (count1 > len / 3)
    		result.add(number1);
    	if (count2 > len / 3)
    		result.add(number2);
    	return result;
    }  

    Python:

    class Solution:
    # @param {integer[]} nums
    # @return {integer[]}
    def majorityElement(self, nums):
        if not nums:
            return []
        count1, count2, candidate1, candidate2 = 0, 0, 0, 1
        for n in nums:
            if n == candidate1:
                count1 += 1
            elif n == candidate2:
                count2 += 1
            elif count1 == 0:
                candidate1, count1 = n, 1
            elif count2 == 0:
                candidate2, count2 = n, 1
            else:
                count1, count2 = count1 - 1, count2 - 1
        return [n for n in (candidate1, candidate2)
                        if nums.count(n) > len(nums) // 3]
    

    Python:

    class Solution(object):
        def majorityElement(self, nums):
            """
            :type nums: List[int]
            :rtype: List[int]
            """
            k, n, cnts = 3, len(nums), collections.defaultdict(int)
    
            for i in nums:
                cnts[i] += 1
                # Detecting k items in cnts, at least one of them must have exactly
                # one in it. We will discard those k items by one for each.
                # This action keeps the same mojority numbers in the remaining numbers.
                # Because if x / n  > 1 / k is true, then (x - 1) / (n - k) > 1 / k is also true.
                if len(cnts) == k:
                    for j in cnts.keys():
                        cnts[j] -= 1
                        if cnts[j] == 0:
                            del cnts[j]
    
            # Resets cnts for the following counting.
            for i in cnts.keys():
                cnts[i] = 0
    
            # Counts the occurrence of each candidate integer.
            for i in nums:
                if i in cnts:
                    cnts[i] += 1
    
            # Selects the integer which occurs > [n / k] times.
            result = []
            for i in cnts.keys():
                if cnts[i] > n / k:
                    result.append(i)
    
            return result
    
        def majorityElement2(self, nums):
            """
            :type nums: List[int]
            :rtype: List[int]
            """
            return [i[0] for i in collections.Counter(nums).items() if i[1] > len(nums) / 3]  

    C++:

    class Solution {
    public:
        vector<int> majorityElement(vector<int>& nums) {
            vector<int> res;
            int m = 0, n = 0, cm = 0, cn = 0;
            for (auto &a : nums) {
                if (a == m) ++cm;
                else if (a ==n) ++cn;
                else if (cm == 0) m = a, cm = 1;
                else if (cn == 0) n = a, cn = 1;
                else --cm, --cn;
            }
            cm = cn = 0;
            for (auto &a : nums) {
                if (a == m) ++cm;
                else if (a == n) ++cn;
            }
            if (cm > nums.size() / 3) res.push_back(m);
            if (cn > nums.size() / 3) res.push_back(n);
            return res;
        }
    };
    

    C++:

    vector<int> majorityElement(vector<int>& nums) {
        int cnt1 = 0, cnt2 = 0, a=0, b=1;
        
        for(auto n: nums){
            if (a==n){
                cnt1++;
            }
            else if (b==n){
                cnt2++;
            }
            else if (cnt1==0){
                a = n;
                cnt1 = 1;
            }
            else if (cnt2 == 0){
                b = n;
                cnt2 = 1;
            }
            else{
                cnt1--;
                cnt2--;
            }
        }
        
        cnt1 = cnt2 = 0;
        for(auto n: nums){
            if (n==a)   cnt1++;
            else if (n==b)  cnt2++;
        }
        
        vector<int> res;
        if (cnt1 > nums.size()/3)   res.push_back(a);
        if (cnt2 > nums.size()/3)   res.push_back(b);
        return res;
    }
    

      

      

    类似题目:

    [LeetCode] 169. Majority Element 多数元素

      

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  • 原文地址:https://www.cnblogs.com/lightwindy/p/9736278.html
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