heap sort complexity

the minimum heap is usually used to construct a priority queue. 2. Create a heap 　　In the heap sorting algorithm, you first need to build a random array into a heap, and then sort it based on the heap. Take the array a [7] = {,

last while(currentnode>1heap[currentnode/2]//(from bottom to top) adjustment{heap[currentnode]=heap[currentnode/2]; currentnode=currentnode/2; } Heap[currentnode]=item;//Insert Element}}//-----Delete operation-------TemplateclassT>voidMaxheapif(Isempty ())Throw"Heap is empty, cannot delete";Else{T last=

Before looking at other algorithms and data structure of the book to find the heap sorting code more difficult to write, read the "Introduction to the algorithm" found that is not so difficult, so I started to write a. The principle is based on an introduction to the algorithm of the third version of the heap sorting pseudo code. #include The heap

In the third edition of the introduction to algorithms, " heap sorting is a sort of in-place, and if you try to introduce an array, you lose that advantage ." The base of the heap sort is to sort on the original heap, and the set

Before learning heap sequencing, first look at the characteristics of the binary heap:1. The value of the parent node of the binary heap is always greater than or equal to (or less than or equal to) its left and right children;2. The left and right subtree of each node is a two-fork heap of such a tree.If the parent no

exceed 1G. First step borrowingHashPre-processing of this batch of massive data: first(Maintain aKeyto beQueryString,Valuefor theQuerythe number of occurrences, i.e.Hashmap (Query,Value), each time you read aQueryif the string is notTable, the string is added, and theValuevalue is set to1, if the string is in theTable, add a count of the string. In the end weO (N)(Nto be1Be sure to iterate through the entire array once and for each of the statistics officesQueryThe number of occurrences) is use

, we start from the last branch node (10/2) with a value of 72, which is for each branch node, 36 45 adjustment (sinking ). Program:/* build a heap based on the nature of the tree. The first half of the Tree node must be a branch node with children, so from here we start to adjust the initial heap */public static void adjust (List (4) Maximum heap sorting //

Basic idea:diagram: (88,85,83,73,72,60,57,48,42,6)Average Time complexity:O (Nlogn) due to the time complexity of each re-recovery heap is O (logn), a total of N-1 redo heap operations, coupled with the previous build heap n/2 times downward adjustment, each time the complexity