heap sort complexity

1 Packagesorting;2 3 /**4 * Heap Sorting5 * Average O (nlogn), preferably O (nlogn), Worst O (nlogn), Space complexity O (1), unstable, more complex6 * @authorZeng7 *8 */9 Public classDuipaixu {Ten One Public Static voidDuipaixu (int[] a) { A inti, TMP; - for(i = A.LENGTH/2; I >= 1; i--) - Heapadjust (A, I, a.length); the for(i = a.length; i > 1; i--) { -TMP = A[0]; -A[0

1. The concept of heapsThe data structure of a heap is an array object, and the heap can be regarded as a complete binary tree (where each layer of the tree is filled and the last layer may be excepted); Each node in the tree corresponds to the element in the array that holds the value of the node;The heap can be divided into two categories:A) Maximum

Definition of heap: N-keyword sequences kl,k2,...,kn called heaps, when and only if the sequence satisfies the following properties (referred to as heap properties): (1) Ki≤k2i and Ki≤k2i+1 or (2) ki≥k2i and ki≥k2i+1 (1≤i≤) If the vector stored by this sequence is R[1..N] as a storage structure of a complete binary tree, the heap is essentially a complete bina

is a data structure problem, using the heap for weight adjustment and sequencing, each adjustment is O (n) complexity, very efficient.The first view of the problem can be done with a priority queue, it should be very simple.In fact, most priority queues are implemented through heaps.There were some problems with the writing:1, the second Fork root node subscript is obviously not 0;2. If there is a widening

Quick row: The quick sort uses two points of thought, each time selects a datum element, the element which is compared to the datum element is placed in front of the datum element, is placed behind the datum element than the element of the datum element, and so on, and so on recursively subdivide, completes the sort. C + + code implementation: void QuickSort (int a[], int l, int r) { int temp = a[l];

Vi. sequencing of HeapsHeap sorting is a tree-select sort, which is an effective improvement on direct selection sequencing.Heap definition: A sequence with n elements (h1,h2,..., HN), when and only if satisfied (hi>=h2i,hi>=2i+1) or (hi Basic idea: the sequence of numbers to be sorted is initially treated as a two-fork tree of sequential storage, which adjusts their storage order to become a heap, when

Read a lot of bloggers wrote the principle of heap sorting, are explained quite clear, is the code implementation (mainly the Java language) some people dazzling. I have re-organized the code implementation of the heap sort (Java).What are the problems and irregularities, but also hope that the partners remind me to correct them in time. Thank!!

Package Cn.xf.algorithm.ch09greedy.util;import Java.util.arraylist;import java.util.list;/** * Heap Construction and Sorting * *. function: Heap construction * 1, The heap can be defined as a binary tree, the node of the tree contains the key, and satisfies the condition * 1) The shape requirements of the tree: This binary tree is a basic complete (full binary tr

;>1]) Swap (heap[t],heap[t>>1]), t1;Else Break; } }}voidTopology_sort () {using namespacePriority_queue;intI for(i=1; iif(!degree[i]) Insert (i); while(Priority_queue::top) {intx=heap[1]; Pop ();Stack[++::top]=x; for(I=head[x];i;i=table[i].next)if(!--degree[table[i].to]) Insert (table[i].to); }}intMain () {intT,i,x,y; for(Cin>>T; T t--) {Ini

Copy Code code as follows: ? Heap Sorting application Class Heapsort { var $a; function SetArray ($a)//Get array { $this->a= $a; } function Runvalue ($b, $c)//$a represents an array, $b represents the sort heap, and the $c represents the end point, { while ($b { $h 1=2* $b; $h 2= (2* $b + 1); if ($h 1> $c) Break ElseIf ($h 1== $c) { if ($th

, ""), NewDatawrap (9, "") }; System.out.println ("Before sorting: \ n" +java.util.Arrays.toString (data)); Heapsort (data); System.out.println ("After sorting: \ n" +java.util.Arrays.toString (data)); }}DescriptionThe key to the heap sequencing above is the Buildmaxheap () method. This method is used to build a large top heap on the data array from the 0 to the lastindex indexe

PackageKpp.sort;/*** The heap is defined as follows: sequence of n elements {k0,k1,..., ki,..., k (n-1)} When and only if the next relationship is satisfied, called a heap.　　"ki@authorKPP **/ Public classHeapsort { Public Static voidMain (string[] args) {//TODO auto-generated Method Stub intArray[] = {49,38,65,97,176,213,227,49,78,34,12,164,11,18,1}; Heapsort (array); for(intK:array) {

1, the code is as follows PackageBetter.amy.sort;/*** Heap Sort Implementation * *@authorZhujinrong **/ Public classHeapsort {/*** The result of constructing a large heap of large piles is the ascending order * *@paramA * array A *@paramm * Start position *@paramn * End Position*/ Private Static voidHeapadjustmax (intA[],intMintN) {intt =A[m]; for(inti = 2 *

#! /Usr/bin/ENV pythonfrom heapq import heappush, heappopif _ name _ = "_ main _": # simple sanity test heap = [] DATA = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0] For item in data: heappush (heap, item) Sort = [] While heap: sort. append (heappop (