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]
- Method 1:Map
class Solution {
public List<Integer> majorityElement(int[] nums) {
List<Integer> result = new ArrayList<>();
if(nums == null || nums.length == 0) return result;
int len = nums.length;
Map<Integer, Integer> map = new HashMap<>();
for(int i = 0; i < len; i++){
map.put(nums[i], map.containsKey(nums[i]) ? map.get(nums[i]) + 1: 1);
}
int cmp = len / 3;
Set<Map.Entry<Integer, Integer>> set = map.entrySet();
for(Map.Entry<Integer, Integer> entry : set){
if(entry.getValue() > cmp)
result.add(entry.getKey());
}
return result;
}
}
- Method 2: Moore's voting algorithm
class Solution {
public List<Integer> majorityElement(int[] nums) {
List<Integer> result = new ArrayList<>();
if(nums == null || nums.length == 0) return result;
if(nums.length == 1){
result.add(nums[0]);
return result;
}
int major1 = 0, major2 = 0, count1 = 0, count2 = 0;
for(int i = 0; i < nums.length; i++){
if(nums[i] == major1)
count1++;
else if(major2 == nums[i])
count2++;
else if(count1 == 0){
major1 = nums[i];
count1 = 1;
}else if(count2 == 0){
major2 = nums[i];
count2 = 1;
}else{
count1 --;
count2 --;
}
}
count1 = 0;
count2 = 0;
for(int i = 0; i < nums.length; i++){
if(nums[i] == major1) count1++;
if(nums[i] == major2) count2++;
}
int cmp = nums.length / 3;
if(count1 > cmp) result.add(major1);
if(count2 > cmp && major2 != major1) result.add(major2);
return result;
}
}
- Use map to save the appearance of current number and it appears times.
class Solution {
public List<Integer> majorityElement(int[] nums) {
List<Integer> result = new LinkedList<>();
if(nums == null || nums.length == 0) return result;
Map<Integer, Integer> map = new HashMap<>();
for(Integer num : nums){
map.put(num, map.containsKey(num) ? map.get(num) + 1: 1);
}
int cmp = nums.length / 3;
Set<Map.Entry<Integer, Integer>> entrySet = map.entrySet();
for(Map.Entry<Integer, Integer> entry : entrySet){
if(entry.getValue() > cmp){
result.add(entry.getKey());
}
}
return result;
}
}
- This question is a improvement of question 169. Majority Element.
- we use two counts to record the appearance number of majority.
- if same, we increase the count and not same, we minus the count number.
- this method will only record the most two majority numbers but won't check if appears more than L / 3.
class Solution {
public List<Integer> majorityElement(int[] nums) {
List<Integer> result = new LinkedList<>();
if(nums == null || nums.length == 0) return result;
else if(nums.length == 1){
result.add(nums[0]);
return result;
}
int major1 = 0, major2 = 0, cnt1 = 0, cnt2 = 0;
for(int num : nums){
if(num == major1){
cnt1 ++;
}else if(num == major2){
cnt2 ++;
}else if(cnt1 == 0){
major1 = num;
cnt1 = 1;
}else if(cnt2 == 0){
major2 = num;
cnt2 = 1;
}else{
cnt1 --;
cnt2 --;
}
}
cnt1 = 0; cnt2 = 0;
for(int i = 0; i < nums.length; i++){
if(nums[i] == major1) cnt1++;
else if(nums[i] == major2) cnt2++;
}
if(cnt1 > nums.length / 3) result.add(major1);
if(cnt2 > nums.length / 3) result.add(major2);
return result;
}
}