heap sort algorithm in c

node until the root element is filtered. This method is called "filtering" and requires a circular filtering of N/2 elements.But we can also learn from the idea of "nothing". We can view the first element as a heap and then add the new element to it continuously. This method is called "Insert Method" and requires a circular insertion of (n-1) elements.Because of the different ways of filtering and inserting methods, the same data, the

interchange, for each non-terminal node, in fact, two times the comparison and interchange operations, so the entire build heap time complexity is O (n).In the formal order, the first time to fetch the heap top record to rebuild the heap needs O (logi) time (a complete binary tree node to the root node distance of log2i+1), and need to take n-1

In many applications, we often need to handle processing objects in priority situations, such as first processing the highest-priority objects, and then processing the objects with the secondary height. One of the simplest examples is when you play a game on your phone, if you have a call, the system should prioritize the incoming calls. In this case, our data structure should provide two of the most basic operations, one is to return the highest priority object, and the other is to add a new ob

, so the stack top and tail elements are exchanged to //The largest element is saved at the tail and does not participate in the subsequent adjustments varSwap =Elements[i]; Elements[i]= Elements[0]; elements[0] =swap; //Adjust the maximum) element to the top of the heapHeadadjust (Elements, 0, i); }}varelements = [3, 1, 5, 7, 2, 4, 9, 6, 10, 8];console.log (' Before: ' +elements); sort (elements); Console.log (' After: ' + elements);Efficiency:

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

for an int array. Please write a heap sorting algorithm. 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--

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