comparisons, comparison performed repeatedly latter sorted. heap saves some results by using structure, which reduces comparisons. worst complexity o (nlogn). average performance closer performance. appropriate files fewer records due required build initial heap. @authorKPP **/ Public classHeapsort { Public Static voidMain (string[] args) {//TODO auto-generated Method Stub intArray[] = {49,38,65,97
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
Heap sorting is divided into two processes:1. Build the heap.The heap is essentially a fully binary tree, and must be satisfied that the keywords of any non-leaf node in the tree are not greater than (or not less than) the key words of the child (if any) of the node.Heap is divided into: Dagen and small Gan, ascending sort by large root
one merge operation.
Code Implementation
Def merge (left, right): I, j = 0, 0 result = [] while I
8. Base sortingDescription
Base sorting (radix sort) is a type of "distribution sort", also known as "bucket sort" or "bin sort". As the name suggests, it uses some information about key values, elements to be sorted are
packageorg.rev.algorithm;/*** Heap ordering, time complexity is O (Nlogn), is a sort of selection using the nature of the heap. ** The Big Top heap is a fully binary tree, all the parent nodes are greater than or equal to its left and right child nodes, or a[i]>=a[2i+1]a[i]>=a[2i+2]. * (small top
1. Quick SortFast sequencing is an unstable sorting algorithm with an average time complexity O (NLGN). The quick sort is sorted by using partition () . partition () has two implementations, (1) uses two pointers, a head pointer, and a tail pointer, sorted by the number of digits indicated by the exchange of the tail-end pointer ; ( 2 The first and last two pointers traverse from left to right, and if the previous pointer encounters a smaller number
1. Heap SequencingA. Definition of a heapThe n element sequence {k1,k2,..., kn} is called a heap when and only if the following relationships are met.Ki1 (Keng Gen) ki>=k2i and ki>=k2i+1 (Dagen)The following is for the maximum heapB. Nature of the maintenance heapMax-heapify the sub-tree with the root node of I as the maximum heap property by letting the value o
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 *
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
, take biglargest = arr[index]>arr[largest]?index:largest; //between the big and the parent nodes in the left and rightif (Largest==index) {//If the parent node is large, it indicates that the original location is unchanged, and then returns. Return}Swap (Arr,largest,index);index = largest;left = index*2+1; //Layer -by-layer judgment}}//each element is inserted and a new large heap is created for initialization purposes. public static void Heapinsert
2269:minval time limit: 3 Sec Memory limit:
Submissions: 638 Resolution: 65
Submitted State [Discussion Version] [Propositional person: external import]
Title DescriptionThere are two sequences A and b of length n, and the sum of each number in A and B can be obtained N2 and, the N2 and the smallest n.InputThe first line enters a positive integer N (1The second row n integer AI and aiOutputOutput only one row, containing n integers, from small to large output this n smallest and, adjac
Massive log data, extract a day to visit Baidu the most times the IP. since it is massive data processing, it is conceivable that the data to us must be huge. How do we get started with this massive amount of data? Yes, it's just a divide-and-conquer/hash map + hash statistics + heap/fast/merge sort, plainly, is the first mapping, then statistics, the last sort:
on the right)*/ if(R 1 A[r] >A[largest]) {Largest= R;//I go, the right child wants to compare with the most soldiers, OK, the right child more than the throne to you. } /** If I'm not the biggest, there's no way, the top throne * to the biggest son*/ if(Largest! =root) {_swap (a[root], a[largest]);//This will, have tochange seats with the son who has the most soldiers.Maxheapify (A, largest, heap_size);//change to the big son's house, mom, still have to see there is no break the bal
first element
//loop is the exchange of the first element and the last element of the current
//Ensure that the current last position of the element is now the largest of this sequence
//constantly reduce the scope of the adjustment heap, each adjustment is completed to ensure that the first
The //element is the largest element of the current sequence
For (i = length-1; i > 0; i.)
{
Arr[i] = Arr[0]^arr[i];
Arr[0] = Arr[0]^arr[i];
Ar
For an int array, write a heap sort algorithm that sorts the array elements.Given an int array a and the size of the array n, return the sorted array.Test examples:[1,2,3,5,2,3],6[1,2,2,3,3,5] Class Heapsort {public:int* heapsort (int* A, int n) { buildmaxheap (A, n);//First build the array A into a large top heap for (int i = n-1; i > = 1; i--) {
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