heap sort algorithm in c

basic concept of the heap and related knowledge, now we discuss the sort of Dagen .For a large heap, the root node is the largest element, selecting the largest element and swapping it with the last element of the sequence so that the largest element succeeds in homing. But at this point the structure of the heaphas been compromised, the element's position need

the priority queue, each insertion of an element is O (Logn), take out O (1), so that you can achieve their own priority queueCode:#include #include #include using namespace STD;Const intN =1001000;intA[n];voidBalance (intXintN) {intL = x+x;intr = x+x+1;intmid = x;if(Lif(Rif(X!=mid) {swap (a[x],a[mid]); Balance (Mid,n); }}voidHeap_sort (intN) { for(inti=n/2-1; i>=0; i--)//Adjust the heap firstBalance (I,n); for(inti=n-1; i>=0; i--) {Swap (a

and the complete C language code A demonstration of the heap sorting algorithm. First, the elements are re-queued to match the conditions of the heap. The structure of the heap tree is simply plotted before the sorting process in the diagram.Complete C-Language implementation code: #include #includ

value is itself - if(HeapSize b)101 {102Max =A;103 }104 Else if(HeapSize >=b heapsize c) the {106 if(Arr[a] Arr[b])107 {108Max =b;109 } the }111 Else the {113 if(Arr[a] >Arr[b]) the { theMax =A; the }117 Else118 {119Max =b; - }121 if(Arr[max] Arr[c])122 {123Max =C;124 } the

[k+ +] = nums[i++]; } //move the remaining number in the right side into the array while(J High ) {Temp[k+ +] = nums[j++]; } //overwrites the number in the new array with the Nums array for(intK2 = 0; K2 ) {Nums[k2+ Low] =TEMP[K2]; } }Second, heap sorting algorithm1. Basic ideas:Heap sorting is a sort of tree selection, which is an effective improvement on direct selection s

++] = Nums[j++];} //for ( Span style= "COLOR: #0000ff" >int k2 = 0; K2 ) {nums[k2 + low] = TEMP[K2];} Second, heap sorting algorithm1. Basic ideas:Heap sorting is a sort of tree selection, which is an effective improvement on direct selection sorting.Heap definition: A sequence with n elements (h1,h2,..., HN), when and only if satisfied (hi>=h2i,hi>=2i+1) or (hiThought: Initially, the sequence of number

elements labeled 1~n in a set of arrays sorted by a heap sorting algorithm $ */Panax Notoginseng voidHeap_sort (Type array[],intN) - { the inti; + time_t start,end; AStart =clock (); the for(i=n/2; i>=1; i--) + { -Sift (array,i,n);//Build the initial heap $ } $ for(i=n;i>=2; i--)//controlling the sorting process - { - type temp; thetemp

ObjectiveThe interview was asked a question (http://www.voidcn.com/blog/u010943214/article/p-3808842.html), and then relive the heap sort.Problem:Give you a doubly linked list, ordered output,Limit:Spatial complexity O1,Time complexity Nlogn, the worst can not degenerate N2Ideas:1 building a binary tree based on a doubly linked list2 heap sorting of two-fork treesDefinition of a heapProperties of the heapHo

Some basic definitions of heap ordering can be found in another blog post I reproduced. http://blog.csdn.net/u010275850/article/details/45311661In fact, in the learning heap when the careful classmate can be found, as long as the deletion of the data, you can get an orderly sequence. Heap sequencing is also taking advantage of such ideas.Algorithm implementation:

Heap Sort1. 堆： 1. 一种完全二叉树。 2. 每个结点的值都大于或等于其左右子结点的值，大顶堆。 3. 小顶堆同理。2. 是简单选择排序的一种改进：把每次比较的结果用堆来保存起来。3. 堆排序（大顶堆）： 1. 将待排序列构造成一个大顶堆。 2. 将堆顶和待排序列最后一个元素交换，也就是保存起来。 3. 将剩余的序列（去除最后一个元素）重新构造成一个堆。 4. 重复23 。4. 待排序列构造初始大顶堆： 1. 设序列长度length，已经构造好最初的完全二叉树，无序。 2. 从最下层最右边的非叶子结点开始向左向上。 3. 二叉树的性质：根节点从序号1开始，设某个结点的序号为k，则其左子树的序号是2k，右子树的序号是2k+1。最下层最右边的非叶子结点就是length/2取整。 4. 从第【length/2取整】个结点开始，向根节点（序号为1）开始 逐个调整每个子树的三个结点的顺序，让其成为大顶堆。 5. 交换之后可

different sorting methods have different characteristics, some are fast, but not stable, some stable, but not in-situ sorting, some in-place sorting, but the worst case time complexity is not good. So is there a sort of order that can assemble all of the above requirements?Five concluding remarksThis paper introduces the two-fork heap, and the heap ordering base

This article mainly for you in detail the implementation of the PHP sorting heap sorting (heap sort) algorithm, with a certain reference value, interested in small partners can refer to Algorithm Introduction: Here I directly quoted in the "Big talk data structure" inside t

array Buildmaxheap (A,n); ////The largest element in the array at root a[1], it can be exchanged with a[n] to achieve the final correct position For (int i = n;i >= 2;i--) { //Exchange temp = A[i]; A[i] = a[1]; A[1] = temp; //a[i] has reached the correct position, removed from the heap n--; //re-adjust to maintain maximum heap properties Maxheap (A,1,n); } return 0;

elements actually stored in the heap, but not necessarily all of the data we need to build the maximum heap. Introduction to the algorithm to get the Zoozi node is 2xi but our array is counted from 0, so the Zoozi node becomes the 2xi+1,buildheap is to build a maximum heap, we go to 2 per cent of the length of the rea

Algorithm ideaHeap sorting utilizes the feature of the maximum (or minimum) keyword for the maximum heap (or small Gan) heap top record, making it easy to select the record of the largest (or smallest) keyword in the current unordered area. 1. The basic idea of using the maximum heap

Insert sort, bubble sort, select sort, Hill sort, fast sort, merge sort, Heap Sort, and LST base sort