heap sort algorithm in c

In a buddy system algorithm, the heap manager allocates only a block of memory of a specific size and becomes permitted size. For each permitted size, there is a free list to maintain.In general, these sizes will select the power of 2, or the Fibonacci sequence. Because it is convenient to divide the number of other than the smallest number into the sum of two permitted size.When the

transforming to the same problem --we call it instantiation simplification;(2) the different manifestations of the same example --What we call change performance;(3) transforming to another instance of the problem, the algorithm of this problem is known --we call it the simplification of the problem.2.3 Specific code PackageCom.liuzhen.heapsort; Public classHeapsort {/*Compare the maximum values in Array[a] and array[b], array[c], or the largest val

, the top of the heap) and the last record of the unordered zone R[n] Exchange, thus obtaining a new disorder region r[1..n-1] and an ordered area R[n], and satisfies R[1..n-1].keys≤r[n].key③ because of the exchange of new root r[1] may violate the nature of the heap, it should becurrent unordered area R[1..n-1] adjusted to heap。 Then again, the largest record of

1. Basic IdeasHill sort is to group records by a certain increment of the subscript, sorting each group using the direct insertion sorting algorithm; As the increments gradually decrease, each group contains more and more keywords, when the increment is reduced to 1 o'clock, the entire file is divided into a group, the algorithm terminates.2. Principle of Impleme

-priority high. Base sorting is based on sorting separately and is collected separately, so it is a stable sorting algorithm.(7) Hill sort (shell)Hill sort is the insertion of elements according to different steps, when the first element is very disordered, the step is the largest, so the number of elements inserted in the order is very small, fast; When the elem

Following the previous implementation of the heap-based priority queue, this time a classic and elegant sorting algorithm, called heap ordering, is implemented using the last-completed heap-based priority queue capable of repeatedly deleting maximum element operations.Heap sorting can be divided into two stages:1. Buil

5.4 heapq-heap queue algorithm This module implements the heap queue algorithm, also known as the priority queue algorithm. Heap queue is a binary tree with such characteristics that its parent node value is smaller than or equal

Sorting is a problem that we often face in our lives. Students in the exercise will be in accordance from the low to high arrangement, the teacher to check the attendance in class, will be in accordance with the student number sequence name, the college entrance examination, will be in descending order according to the total score of the admission. Sorting is an important operation used in data processing, which plays a very important role in our program development.The sorting is divided into t

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];

heap is compared to the root node of its left and right subtree, the smallest element is exchanged to the top of the heap, and then the broken path is adjusted. Until the leaves knot, you get a new heap.We call this "screening" the adjustment process from the top of the heap to the leaves.The process of building a heap