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.

代码如下:(方法一:超内存)

 public class Solution {
public List<Integer> majorityElement(int[] nums) {
List<Integer> list=new ArrayList<>();
if(nums.length==0)
return list;
Arrays.sort(nums);
int[] a=new int[nums[nums.length-1]+1]; for(int i=0;i<nums.length;i++)
a[nums[i]]++; for(int i=0;i<nums.length;)
{
if(a[nums[i]]>nums.length/3)
{
list.add(nums[i]);
i=i+a[nums[i]]-1;
}
} return list;
}
}

方法二:(借鉴别人的)

 public class Solution {
public List<Integer> majorityElement(int[] nums) {
List<Integer> list=new ArrayList<>();
if(nums.length==0)
return list;
if(nums.length==1)
{
list.add(nums[0]);
return list;
}
int m1=nums[0];
int m2=0;
int c1=1;
int c2=0;
for(int i=1;i<nums.length;i++)
{
if(m1==nums[i])
c1++;
else if(m2==nums[i])
c2++;
else if(c1==0)
{
m1=nums[i];
c1=1;
}
else if(c2==0)
{
m2=nums[i];c2=1;
}
else {
c1--;c2--;
}
}
c1 = 0; c2 = 0;
for(int i=0; i<nums.length; i++) {
if(m1 == nums[i]) ++c1;
else if(m2 == nums[i]) ++c2;
}
if(c1>nums.length/3)
list.add(m1);
if(c2>nums.length/3)
list.add(m2); return list;
}
}

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