Application of merge sort in java interview

Background of the article:

While reviewing algorithms and data structures, I found the interview written test questions. Let’s take a look at the questions:

(Learning Video sharing: java teaching video)

Two numbers in the array, if the previous number is greater than the following number, then the two numbers form a reverse-order pair. Input an array and find the total number of reverse-order pairs P in the array. And output the result of P modulo 1000000007. That is, output P 00000007

Input description:

The question ensures that the same number is not in the input array

Data range:

For the data of P ,size

For the data of u, size

For the data of 0, size

Analysis:

This question is easy to solve directly, but the time complexity is o(n*n). When I first got this question without thinking about it, I just finished writing it through DP. Then I found that DP is not as good as directly. The solution has a complexity of O(n*n), and dp also takes up 2*10^5 space. The following is direct. The solution and dp have timed out.

(Recommendations for more related interview questions: java interview questions and answers)

Code sharing:

  //直接求法 ,超时
public  class solution{
   public static  int sum;
   
   public static int InversePairs(int [] array) {
        dp(array);
        return sum;
   }
   
 
   public static void dp(int []array){
       for(int i = array.length - 1 ; i >  0 ; i --){
           for(int j = i - 1 ; j >= 0 ; j--){
                if(array[j] > array[i]){
                	sum += 1;
                } 
           }
           sum %= 1000000007;
       }
       
   }
}

public  class solution{
 
  //一维数组dp   
   public static  int sum;
   
   public static int InversePairs(int [] array) {
        dp(array);
        return sum;
   }
   public static int count[] = new int[200004];
   
   public static void dp(int []array){
       for(int i = array.length - 1 ; i >  0 ; i --){
           for(int j = i - 1 ; j >= 0 ; j--){
                if(array[j] > array[i]){
                	count[j] = count[j+1]+1;
                }else {
                	count[j] = count[j+1];
                }
           }
           sum += count[0];
           sum %= 1000000007;
           for(int k = 0 ; k < array.length ; k ++)
        	   count[k] = 0;
       }
       
   }
    
}

dp is redundant here,

The following is the solution to the problem of merge sort. If you don’t understand merge sort, you can read my previous blog MERGE SORT:

public class solution{   
    //归并排序AC
    public static int  cnt ;
    
    public static  int InversePairs(int [] array) {
         
        if(array != null){
             RecusionSorted(array,0,array.length - 1);
        }
        return  cnt%1000000007;
    }	
	
	public static void MegerArray(int[] data, int start, int mid, int end) {
		 int temp[] = new int[end-start+1]; 
		 int i  =  mid;
		 int j = end;
		 int m = mid+1;
		 int z = 0;
		 while(j >= m && i >= start) {
			 if(data[i] > data[j]) {
				 temp[z++] = data[i--];
				 cnt += (j-mid)%1000000007;
                 cnt %= 1000000007;
			 }else {
				 temp[z++] = data[j--];
			 }
		 }
		 
		 while(j >= m) {
			 temp[z++] = data[j--];
		 }
		
		 while(i >= start) {
			 temp[z++] = data[i--];
		 }
		 
		 for(int k = start ; k <= end ; k ++) {
			 data[k] = temp[end - k];
		 }
	}
	
	public static void RecusionSorted(int data[] , int start , int end ) {
		
		
		if(start < end) {
			int mid = (start + end) >> 1;
			RecusionSorted(data,start,mid);
			RecusionSorted(data,mid+1,end);
		    MegerArray(data,start,mid,end);
		} 
	}
}

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