heap sort complexity

Package heapsort;public class Testmain{/*** Adjustment Heap* @param array arrays* @param I adjust the element i* Number of elements @param length heap*/public static void Adaptationarray (int[] array,int i, int length){Current elementint cur = i;while (2*cur+2{int curvalue = Array[cur];int leftvalue = array[2*cur+1];int maxindex;if (2*cur+3{Maxindex = array[2*cur+2]>leftvalue?2*cur+2:2*cur+1;}Else{Maxindex

There are three types of selection: Simple selection sorting, tree selection sorting, heap sortingLet's take a quick look at the heap ordering today:Complete binary tree, that is, from beginning to end, from left to right, in order to match the large heap (small heap), that is Ki>=k2i ki >= k2i+1Since arrays are used

Packagealgorithm; Public classLargeheapsort {/*** The array is adjusted so that Arr[low] becomes the largest low-len *@paramarr *@paramLow The root of the current binary tree (part of the heap) *@paramlength of Len Array*/ Public Static voidSiftint[] arr,intLowintLen) { intI=Low ; intJ=2*i+1; inttemp=Arr[low]; while(jLen) { if(j]) J++; if(tempArr[j]) {Arr[i]=Arr[j]; I=J; J=2*i+1; } ElseJ=len+1; } Arr[i]=temp; } /**

) {System.out.println (top[i]); } } Public int[] tophundred (int[] Array,intk) {//The heap with size k int[] top =New int[K]; for(inti = 0; I ) {Top[i]=Array[i]; } buildminheap (top); for(inti = k; i ) { if(Top[0] Array[i]) {top[0] =Array[i]; Minheapify (Top,0, top.length); } } returntop; } //Create a min heap Public voidBuildminheap (int[] Array) {

>=0;i--) { Maxheap (Tt,i,len); } System.out.println ("Create done"); /*for (int j=0;jSystem.out.print (tt[j]+ ""); } System.out.println (); System.out.println ("Sort:"); /** * MAXHEAP (Tt,0,i) I must be I, can not be i-1, this is to follow the method of rebuilding the heap. I corresponds to the length of the array that needs to be rebuilt by Len. */ for (int i=len-1;i>=0;i--) { int temp=tt[i]; TT[I]=TT[0];

This is a creation in Article, where the information may have evolved or changed. The go language also has its own container data structure. The list, heap, and ring are the main Package MainImport ( "Container/heap" "FMT" "Sort"//"StrConv") Type Heapint []intfunc (H heapint) Len () int {returnLen (h)}func (H heapint) Less (i, J int) bool {returnH[i] H[j

Title Description Enter n integers to find the smallest number of K. For example, enter 4,5,1,6,2,7,3,8 these 8 numbers, then the smallest 4 number is 1,2,3,4,.//Heap Sort#include #include#includeusing namespacestd;classsolution{ Public: voidHeapadjust (vectorint> a,intSintN) {intRc=A[s]; for(intj=2*s+1; j1; j=j*2+1) { if(j1a[j]>a[j+1]) J++; if(rcA[j]) Break; Else{A[s]=A[j]; S=J; }} A[

from S+1...M except for the first S - voidHeapsort (vectorint> Nums,intSintm) the { - inttemp,j; -temp=Nums[s]; - for(j=2*s;j2*j) + { - if(j1]) +J + +; A if(temp>Nums[j]) at Break; -nums[s]=Nums[j]; -s=J; - } -nums[s]=temp; - } in //Main function - intFindkthlargest (vectorint> Nums,intk) to { +vectorint>Vec; - intn=nums.size (); theVec.push_back (0); * for(intI=0; i) $ Vec.push_back (Nums[i]);Panax Notoginseng - for(inti=n/2; i>=1; i

Heap Sorting algorithmFirst look at the first function heapadjust, this function is already the composition of the heap of the two-fork tree, if the node K data changes, the node K is modified to make it a new heap binary tree, n is the data length.def heapadjust (lst,k,n): While (2*k+1The Heapsort function, using the first function above, constructs a

2016_2_25_heap.cpp:defines the entry point for the console application.//#include "stdafx.h" //adjust the tree heap so that the maximum value is placed at the root node //i is the location of the array element and the tree //length void heapadjust (int Array[],int i,int nlength)//This is done only once { int nchild;//This is the child node of I int ntemp; for (; 2*i+1 { //left Dial Hand node location =2* (parent node location) +1 //

In the future, I want to put my usual writing here. If there is any improvement, please point out.#include"stdafx.h"#includeusing namespacestd;int*p;intLength//Save the number of elements that need to be sortedvoidInit () {//initialized. cout "Enter the number of elements to sort"Endl; CIN>>length; P=New int[length]; cout"Enter the elements you want to sort"Endl; for(inti =0; i ) {cin>>P[i]; }}voidShow ()