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This article mainly introduces the bubble sort, selection sort and insertion sort of the JS sorting algorithm. It analyzes the concepts, principles and implementation methods of bubble sort, selection sort and insertion sort in the form of examples. Friends in need can refer to it. Next
The examples in this article describe the JS sorting algorithms of bubble sort, selection sort and insertion sort. Share it with everyone for your reference. The details are as follows:
Bubble sort:
Compare the data in the array in sequence between two adjacent ones. The size of the number.
If the previous data is greater than the later data, exchange the two numbers.
Time complexityO(n^2)
function bubble(array){ var temp; for(var i=0; i<arr.length; i++){ for(var j=0; j<arr.length; j++){ if(arr[j]>arr[j+1]){ temp = arr[j+1]; arr[j+1] =arr[j]; arr[j]=temp; } }console.log(arr); } }//冒泡排序
Selection sort:
First Select the smallest data from the original array and exchange it with the data at position 1.
Then select the next smallest data from the remaining n-1 data and exchange it with the data at the second position.
Repeat until the last two data are exchanged.
Time complexityO(n^2)
function selectionSort(array){ var min,temp; for(var i=0; i<array.length-1; i++){ min=i; for(var j=i+1; j<array.length; j++){ if(array[j]<array[min]){ min=j; } } swap(array,min,i); } console.log(array); }//选择排序 function swap(array,i,j){ var temp =array[i]; array[i]=array[j]; array[j]=temp; }//两个数字交换
Insertion sort:
First Compare the first two data from small to large.
Then compare the third data with the first two arranged data, and insert the third data into the appropriate position. And so on.
(Insertion sort has two loops. The outer loop moves the arrays one by one, and the inner loop compares the element selected by the outer loop with the number in front of it.)
Time complexity O(n^2)
function insertSort(arr){ var temp, j; for(var i=1; i<arr.length; i++){ temp =arr[i]; j=i; while(j>0 && arr[j-1]>temp){ arr[j]=arr[j-1]; j--; } arr[j]=temp; } }
The above is what I compiled for everyone. I hope it will be helpful to everyone in the future.
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