void heapSort(int list[], int last)
{
// Local Declarations
int sorted;
int holdData;
int walker;
// Statements
for (walker = 1; walker <= last; walker++)
reheapUp (list, walker);
// Min Heap created. Now to sort!
sorted = last;
while (sorted > 0)
{
holdData = list[0];
list[0] = list[sorted];
list[sorted] = holdData;
sorted--;
reheapDown (list, 0, sorted, moves, comparisons);
}
return;
}
void reheapUp (int heap[], int newNode)
{
// Local Declarations
int parent;
int hold;
// Create a min heap
// Statements
if (newNode)
{
parent = (newNode - 1) / 2;
if (heap[newNode] > heap[parent]) // Only change made from ascending order
{
hold = heap[parent];
heap[parent] = heap[newNode];
heap[newNode] = hold;
reheapUp (heap, parent);
}
}
return;
}
void reheapDown (int heap[], int root, int last)
{
// Local Declarations
int hold;
int leftKey;
int rightKey;
int largeChildKey;
int largeChildIndex;
// Statements
if ((root * 2 + 1) <= last)
{
// There is atleast one child
leftKey = heap[root * 2 + 1];
if ((root * 2 + 2) <= last) {
rightKey = heap[root * 2 + 2];
}
else
rightKey = -1;
// Determine which child is larger
if (leftKey > rightKey)
{
largeChildKey = leftKey;
largeChildIndex = root * 2 + 1;
}
else
{
largeChildKey = rightKey;
largeChildIndex = root * 2 + 2;
}
// Test if root > large subtree
if (heap[root] < heap[largeChildIndex])
{
// parent < child
hold = heap[root];
heap[root] = heap[largeChildIndex];
heap[largeChildIndex] = hold;
reheapDown(heap, largeChildIndex, last);
}
}
return;
}
我通过创建最大堆来升序以堆排序。我读到要创建一个降序堆排序我需要创建一个最小堆,我通过将heap[newNode] < heap[parent]
更改为heap[newNode] > heap[parent]
来完成,如代码中所示。但是,它仍然是有序的。因此,我想做其他步骤?我是否还需要以某种方式改变reheapDown
?
答案 0 :(得分:1)
您需要更改自己所做的所有值比较,例如您未提及更改的heap[root] < heap[largeChildIndex]
。
答案 1 :(得分:0)
首先,您需要相应地更改每个比较运算符,只需将它们全部考虑并考虑问题。
其次你只需要重新编写(last / 2)来创建堆,因为(last / 2 + 1)处的键没有任何子项。
之前我在C中进行了一些堆排序,而且我的代码行少了,只有一个“heapify”函数。您可能希望查看代码并尝试简化操作。
编辑:如果你想要一些灵感,那就是我做的事情
void fixHeap(int position,int length)
{
int child = (2*position)+1;
int temp;
while (child<=length)
{
if (child<length && vector[child]<vector[child+1])
{
child++;
}
if (vector[position]<vector[child])
{
temp = vector[position];
vector[position] = vector[child];
vector[child] = temp;
position = child;
child = (2*position)+1;
}
else
{
return;
}
}
}
void heapSort(int vector[],int N)
{
int counter;
int temp;
for (counter=(N-1)/2; counter>=0; counter--)
{
fixHeap(counter,N-1);
}
for (counter=N-1; counter>0; counter--)
{
temp = vector[counter];
vector[counter] = vector[0];
vector[0] = temp;
fixHeap(0,counter-1);
}
}
答案 2 :(得分:0)
Here is heap sort using min heap implementation. Have a look, if it helps!
#include "stdafx.h"
#define LEFT(i) (2 * (i))
#define RIGHT(i) (((2 * (i)) + 1))
#define PARENT(i) ((i) / 2))
void print_heap(int input[], int n)
{
int i;
printf("Printing heap: \n");
for (i = 0; i < n; i++)
printf("%d ", input[i]);
printf("\n");
}
void swap_nodes(int *a, int *b)
{
int tmp;
tmp = *a;
*a = *b;
*b = tmp;
}
void min_heapify(int input[], int i, int n)
{
int least;
int l = LEFT(i + 1) - 1; // Get 0 based array index
int r = RIGHT(i + 1) - 1; // Get 0 based array index
if (l < n && input[l] < input[i]) {
least = l;
} else {
least = i;
}
if (r < n && input[r] < input[least]) {
least = r;
}
if (least != i) {
swap_nodes(&input[i], &input[least]);
min_heapify(input, least, n);
}
}
void heapify(int input[], int n)
{
for (int i = n/2; i >= 0; i--)
min_heapify(input, i, n);
}
void heap_sort(int input[], int n)
{
heapify(input, n);
for (int i = n - 1; i >= 1; i--) {
swap_nodes(&input[0], &input[i]);
n = n - 1;
min_heapify(input, 0, n);
}
}
int _tmain(int argc, _TCHAR* argv[])
{
int input[] = {5, 3, 17, 10, 84, 19, 6, 22, 9, 1};
int n = sizeof(input) / sizeof(input[0]);
print_heap(input, n);
heap_sort(input, n);
print_heap(input, n);
return 0;
}