天天看點

Leetcode 5304. 子數組異或查詢

  5304. 子數組異或查詢

Leetcode 5304. 子數組異或查詢

  分析:

  方法1:暴力求解:每次循環,從到

Li到Ri

的異或和,存入vector并傳回;這種方法無疑會逾時;

  

1 class Solution {
 2 public:
 3     vector<int> xorQueries(vector<int>& arr, vector<vector<int>>& queries) {
 4         vector<int> res;
 5         vector<vector<int>> dp;
 6         vector<int> level;
 7         int len=arr.size();
 8         int count;
 9         //循環找
10         for(int i=0;i<queries.size();i++)
11         {
12             count=0;
13             int x = queries[i][0]>queries[i][1]?queries[i][1]:queries[i][0];
14             int y = queries[i][0]>queries[i][1]?queries[i][0]:queries[i][1];
15             for(int i=x;i<=y;i++)
16             {
17                 count^=arr[i];
18             }
19             res.push_back(count);
20         }
21         
22         return res;
23     }
24 };      

  方法2:二維數組:dp[i][j]表示從i到j的異或和,dp[i][j]=dp[i][j-1] ^ arr[j];當數字的個數為n時,需要開辟n*n的空間,并且浪費掉了1/2的空間,因為dp[i][j]=dp[j][i];

1 class Solution {
 2 public:
 3     vector<int> xorQueries(vector<int>& arr, vector<vector<int>>& queries) {
 4         vector<int> res;
 5         vector<vector<int>> dp;
 6         int len=arr.size();
 7         dp.resize(len,arr);  //初始化
 8         for(int i=0;i<len;i++)
 9         {
10             for(int j=i;j<len;j++)
11             {
12                 //填充dp數組dp[i][j]表示從i到j異或的結果
13                 if(i==j)
14                     dp[i][j]=arr[i];
15                 else
16                     dp[i][j]=dp[i][j-1]^arr[j];
17             }
18         }
19         
20         //循環找
21         for(int i=0;i<queries.size();i++)
22         {
23             //int x = queries[i][0]>queries[i][1]?queries[i][1]:queries[i][0];
24             //int y = queries[i][0]>queries[i][1]?queries[i][0]:queries[i][1];
25             res.push_back(dp[queries[i][0]]queries[i][1]]);
26         }
27         
28         return res;
29     }
30 };      

  方法3:在方法2的基礎上,砍掉一半空間,但是結果還是超出了空間的最大消耗;

1 class Solution {
 2 public:
 3     vector<int> xorQueries(vector<int>& arr, vector<vector<int>>& queries) {
 4         vector<int> res;
 5         vector<vector<int>> dp;
 6         vector<int> level;
 7         int len=arr.size();
 8         for(int i=0;i<len;i++)
 9         {
10             level.resize(len-i,0);
11             for(int j=0;j<len-i;j++)
12             {
13                 //填充dp數組dp[i][j]表示從i到j異或的結果
14                 if(j==0)
15                     level[j]=arr[j+i];
16                 else
17                     level[j]=level[j-1]^arr[j+i];
18             }
19             dp.push_back(level);
20         }
21         
22         //循環找
23         for(int i=0;i<queries.size();i++)
24         {
25             int x = queries[i][0]>queries[i][1]?queries[i][1]:queries[i][0];
26             int y = queries[i][0]>queries[i][1]?queries[i][0]:queries[i][1];
27             res.push_back(dp[x][y-x]);
28         }
29         
30         return res;
31     }
32 };      

  方法4:看了題解,才知道還能這麼算,直接保留前Ri項的異或和,然後再和前Li項的異或和做異或操作,相同的前Li項就被抵消掉了,空間消耗直接變成了n。

1 class Solution {
 2 public:
 3     vector<int> xorQueries(vector<int>& arr, vector<vector<int>>& queries) {
 4         vector<int> dp;
 5         dp.resize(arr.size(),0);
 6         dp[0]=arr[0];
 7         for(int i=1;i<arr.size();i++)
 8         {
 9             dp[i]=dp[i-1]^arr[i];
10         }
11 
12         vector<int> res;
13         for(int i=0;i<queries.size();i++)
14         {
15             int l=queries[i][0];
16             int r=queries[i][1];
17             int num=(l==0)?dp[r]:(dp[r]^dp[l-1]);
18             res.push_back(num);
19         }
20         return res;
21     }
22 };