Code:#Coding:utf-8#Author: XublingImportMath#print Math.ceil (3.2) rounding up 4.0#print Math.floor (3.2) rounding down 3.0#print Math.log (100,10) base is 10 results for 2.0defRadiz_sort (L): K= Int (Math.ceil (Math.log (Max (L), 10))#Max is a few max (L)bucket = [[] forIinchRange (10)]#Create 10 empty lists PrintBuckets forIinchRange (1,k+1): forJinchl:bucket[j/(10** (i-1))% (10 * *i)]. Append (j)dell[:] forZinchbucket:l+=Zdelz[:]PrintL#bucket = [[] for I in range (Ten)]#Print Bucke
To implement a bubbling sort:[HTML] View plain copyvar times=0;var bubblesort=function (arr) {for (Var i=0;ifor (Var j=i+1;jif (Arr[i]>arr[j]) {//If the previous data is larger than the followingvar temp=arr[i];ARR[I]=ARR[J];Arr[j]=temp;}Console.log ("First" + (++times) + "post-order:" +arr);}}return arr;}Console.log ("The result is:" +bubblesort (arr));To achieve a quick sort:[JavaScript] View plain copyvar times=0;var quicksort=function (arr) {If the array length is less than or equal to 1 no
/n) = N +... + n = K * n = log2 (n) * nTherefore, the algorithm complexity is O (log2 (n) * n)In other cases, it will only be worse than this case. The worst case is that the middle selected each time is the minimum or maximum value, so it will become the exchange method (because recursion is used, the situation is worse ). But what do you think is the probability of such a situation ?? You don't have to worry about this issue. Practice has proved that quick
BubbleSort is a simple and stable sorting algorithm. Bubble sorting algorithm step: compare adjacent elements. if the first element is larger than the second one, the two of them are exchanged. perform the same operation on each adjacent element, the last element is... "/> Bubble Sort is a simple and stable sorting algorithm. Bubble
This article describes in detail how to implement insertion sorting of the classic sorting algorithm using JavaScript, which has some reference value, if you are interested, you can refer to the code implementation of insertion sorting. Although it is not as simple and crude as Bubble sorting and selection
The basic idea of Hill Sorting: Hill sorting is based on the improvement of insert sorting, because the insert sorting is efficient for sorted series operations, but insert sorting is generally inefficient, because only one digit can be moved at a time. Therefore, the Hill s
This article mainly introduces python counting sorting and base Sorting Algorithm examples. For more information, see
I. Counting sorting
Counting sort is a stable sorting algorithm.
The algorithm steps are as follows:Find the largest and smallest elements in the array to be sortedCounts the number of times each eleme
Bubble Sort is a simple and stable sorting algorithm. Bubble Sorting Algorithm step: Compare adjacent elements. If the first element is larger than the second one, the two of them are exchanged. perform the same operation on each adjacent element, the final element is the largest. In addition to the obtained largest element, repeat the remaining elements in the previous step until no elements need to be com
Sorting algorithms can be divided into internal sorting and external sorting. Internal sorting means that data records are sorted in the memory, while external sorting means that the sorting
Quick sorting and quick sorting algorithmsQuick sorting is an improvement of Bubble sorting. The basic idea is to split the records to be sorted into two separate parts by one sort. the keywords of some records are smaller than those of other records, then, the two records can be sorted separately to achieve the whole
I. Counting sorting
Counting sort is a stable sorting algorithm.
The algorithm steps are as follows:Find the largest and smallest elements in the array to be sortedCounts the number of times each element with the I value appears in the array, and stores the I entry in array C.Accumulate all counts (starting from the first element in C, each item is added to the previous one)Backward filling of the target ar
The expected running time of the two sorting items here is O (n), which should be the lowest time complexity so far.
Count sorting
Counting sorting assuming that each of the N input elements is an integer between 0 and K. Here K is an integer. In the specific implementation, we can take K as N
ItemsElementThe largest one.
The basic idea of counting
Sorting algorithms can be divided into internal sorting and external sorting. Internal sorting means that data records are sorted in the memory, while external sorting means that the sorting
The path to sorting algorithm learning-table insertion and sorting- Yi blog briefly mentions table insertion and sorting in insert sorting (concept. I briefly summarized this article and wrote it for reference if necessary.
Insert sorting: As the name implies, an index tab
Public static void bubbleSort (int a []) {Int len = a. length;For (int I = 0; I For (int j = 0; j If (a [j]> a [j + 1]) {Int temp = a [j];A [j] = a [j + 1];A [j + 1] = temp;}}}}Public static void selectSort (int a []) {Int temp = 0;Int len = a. length;For (int I = 0; I Int min = a [I];Int index = I;For (int j = I + 1; j If (min> a [j]) {Min = a [j];Index = j;}}Temp = a [I];A [I] = a [index];A [index] = temp;}}Public static void insertSort (int a []) {Int len = a. length;For (int I = 1; I Int tem
Bubble Sorting: Put the largest or smallest element at the end of the array each time. so easy! Time Complexity: (O (n ^ 2 ))
public class BubbleSort {public static void bubbleSort(int[] a) {for (int j = 1; j
Select the sorting method: similar to bubble, each time the smallest element is placed in front. Time Complexity: (O (n ^ 2 )))
public class SelectSort {public static void selectSort(int[] a) {int min
Base sorting is a variant of Bucket-based sorting, mainly to reduce space usage through multiple traversal (the effect is quite remarkable ). The idea can be described as follows:
1. First, the sequence to be sorted must satisfy the characteristics of base sorting, such as the concept of "base" (both integers and strings can be applied)
2. Create an array with th
Algorithm entry-level research generally begins with "sorting" and "Searching. "Sorting algorithms" and her sister "search algorithms" are the basis of many complex algorithms and the basis of many complex systems. For example, the most complex virtual memory management in L
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