Why is bubble sort O(n^2)?

后端 未结 6 1288
庸人自扰
庸人自扰 2020-12-03 10:47
for (int front = 1; front < intArray.length; front++)
{
    for (int i = 0; i  < intArray.length - front; i++)
    {
        if (intArray[i] > intArray[i +          


        
相关标签:
6条回答
  • 2020-12-03 11:15

    You are correct that the outer loop iterates n times and the inner loop iterates n times as well, but you are double-counting the work. If you count up the total work done by summing the work done across each iteration of the top-level loop you get that the first iteration does n work, the second n - 1, the third n - 2, etc., since the ith iteration of the top-level loop has the inner loop doing n - i work.

    Alternatively, you could count up the work done by multiplying the amount of work done by the inner loop times the total number of times that loop runs. The inner loop does O(n) work on each iteration, and the outer loop runs for O(n) iterations, so the total work is O(n2).

    You're making an error by trying to combine these two strategies. It's true that the outer loop does n work the first time, then n - 1, then n - 2, etc. However, you don't multiply this work by n to to get the total. That would count each iteration n times. Instead, you can just sum them together.

    Hope this helps!

    0 讨论(0)
  • 2020-12-03 11:18

    How you basically calculate N...

    • Each line: +1
    • Each Loop *N

      So you start adding numbers get to your first loop now you have N+1, you keep going and you eventually get N*N or N^2 for the time plus some number. Pulling off the number as it is generally insignificant compared to N.

    Pretty much N is a representation of all the items in the loop kind of like 1,2,3...N. So it is simply representing a number not how many times a loop, loops.

    0 讨论(0)
  • 2020-12-03 11:19

    This is another version to speed up bubble sort, when we use just a variable swapped to terminate the first for loop early. You can gain better time complexity.

    #include <stdio.h>
    #include <stdbool.h>
    #define MAX 10
    
    int list[MAX] = {1,8,4,6,0,3,5,2,7,9};
    
    void display(){
       int i;
       printf("[");
    
       for(i = 0; i < MAX; i++){
          printf("%d ",list[i]);
       }
    
       printf("]\n");
    }
    
    void bubbleSort() {
       int temp;
       int i,j;
    
       bool swapped = false;       
    
       // 1st loop
       for(i = 0; i < MAX-1; i++) { 
          swapped = false;
    
          // 2nd loop
          for(j = 0; j < MAX-1-i; j++) {
             printf("     Compare: [ %d, %d ] ", list[j],list[j+1]);
    
             if(list[j] > list[j+1]) {
                temp = list[j];
                list[j] = list[j+1];
                list[j+1] = temp;
    
                swapped = true;
             }
    
          }
    
          if(!swapped) {
             break;
          }
    
          printf("Loop number %d#: ",(i+1)); 
          display();                     
       }
    
    }
    
    main(){
       printf("Before: ");
       display();
       printf("\n");
    
       bubbleSort();
       printf("\nAfter: ");
       display();
    }
    
    0 讨论(0)
  • 2020-12-03 11:21

    Your inner loop is iterating, IN TOTAL, as you said n + (n-1) + (n-2) + (n-3) + ... + 1 times. So it is O(n + (n-1) + (n-2) + (n-3) + ... + 1) = O(n(n+1)/2) = O(n^2)

    0 讨论(0)
  • 2020-12-03 11:24
    k=1(sigma k)n = n(n+1)/2
    because:
      s = 1 +  2    + ... + (n-1) + n
      s = n + (n-1) + ... + 2     + 1
    +)
    ===================================
      2s = n*(n+1)
       s = n(n+1)/2
    in bubble sort, 
    (n-1) + (n-2) + ... + 1 + 0 times compares 
    which means, k=0(sigma k)n-1
    , k=0(sigma k)n-1 equals [k=1(sigma k)n] - n
    therefore, n(n+1)/2 - n = n(n-1)/2
    which is 1/2(n^2-n) => O(1/2(n^2-n))
    in big O notation, we remove constant, so
    O(n^2-n)
    n^2 is larger than n
    O(n^2)
    
    0 讨论(0)
  • 2020-12-03 11:36

    The inner loop iterates n times(in worst case):

    for(int i = front; i < intArray.length; i++)
    

    The outer loop iterates n times:

    for(int front = 0; front < intArray.length; front++)
    

    Therefore O(n^2)

    0 讨论(0)
提交回复
热议问题