我无法获得最大堆数组所需的输出,有人可以告诉我要进行的更改吗
I am not able to get the desired output for max heap array, can somebody tell me the changes to be made
python代码是:
def max_heapify(i, arr, n):
l = 2*i
r = 2*i+1
largest = i
if (2*i <= n-1 and arr[l] > arr[i]):
largest = l
if (2*i+1 <= n-1 and arr[r] > arr[largest]):
largest = r
if largest != i:
temp = arr[largest]
arr[largest] = arr[i]
arr[i] = temp
max_heapify(largest, arr, n)
return arr
arr=[16,4,10,14,7,9,3,2,8,1]
n=len(arr)
#max_heapify(i,arr,n)
for i in range(n//2):
max_heapify(n//2-1-i,arr,n)
试试这个
Python 堆排序程序
堆排序是一种基于二叉堆数据结构的比较排序技术。它类似于选择排序,我们首先找到最大元素并将最大元素放在最后。我们对剩余的元素重复相同的过程。
Python堆排序的实现程序
堆化以索引 i 为根的子树。
n 是堆的大小
def heapify(arr, n, i):
largest = i # Initialize largest as root
l = 2 * i + 1 # left = 2*i + 1
r = 2 * i + 2 # right = 2*i + 2
# See if left child of root exists and is
# greater than root
if l < n and arr[i] < arr[l]:
largest = l
# See if right child of root exists and is
# greater than root
if r < n and arr[largest] < arr[r]:
largest = r
# Change root, if needed
if largest != i:
arr[i],arr[largest] = arr[largest],arr[i] # swap
# Heapify the root.
heapify(arr, n, largest)
对给定大小的数组进行排序的主要函数
def heapSort(arr):
n = len(arr)
# Build a maxheap.
for i in range(n, -1, -1):
heapify(arr, n, i)
# One by one extract elements
for i in range(n-1, 0, -1):
arr[i], arr[0] = arr[0], arr[i] # swap
heapify(arr, i, 0)
上面要测试的驱动程序代码
arr = [ 12, 11, 13, 5, 6, 7]
堆排序(arr)
n = len(arr)
打印 ("Sorted array is")
我在范围内(n):
print ("%d" %arr[i]),
此代码由 Mohit Kumra 贡献
输出:
排序数组为
5 6 7 11 12 13
python代码是:
def max_heapify(i, arr, n):
l = 2*i
r = 2*i+1
largest = i
if (2*i <= n-1 and arr[l] > arr[i]):
largest = l
if (2*i+1 <= n-1 and arr[r] > arr[largest]):
largest = r
if largest != i:
temp = arr[largest]
arr[largest] = arr[i]
arr[i] = temp
max_heapify(largest, arr, n)
return arr
arr=[16,4,10,14,7,9,3,2,8,1]
n=len(arr)
#max_heapify(i,arr,n)
for i in range(n//2):
max_heapify(n//2-1-i,arr,n)
试试这个
Python 堆排序程序
堆排序是一种基于二叉堆数据结构的比较排序技术。它类似于选择排序,我们首先找到最大元素并将最大元素放在最后。我们对剩余的元素重复相同的过程。
Python堆排序的实现程序
堆化以索引 i 为根的子树。
n 是堆的大小
def heapify(arr, n, i):
largest = i # Initialize largest as root
l = 2 * i + 1 # left = 2*i + 1
r = 2 * i + 2 # right = 2*i + 2
# See if left child of root exists and is
# greater than root
if l < n and arr[i] < arr[l]:
largest = l
# See if right child of root exists and is
# greater than root
if r < n and arr[largest] < arr[r]:
largest = r
# Change root, if needed
if largest != i:
arr[i],arr[largest] = arr[largest],arr[i] # swap
# Heapify the root.
heapify(arr, n, largest)
对给定大小的数组进行排序的主要函数
def heapSort(arr):
n = len(arr)
# Build a maxheap.
for i in range(n, -1, -1):
heapify(arr, n, i)
# One by one extract elements
for i in range(n-1, 0, -1):
arr[i], arr[0] = arr[0], arr[i] # swap
heapify(arr, i, 0)
上面要测试的驱动程序代码
arr = [ 12, 11, 13, 5, 6, 7] 堆排序(arr)
n = len(arr)
打印 ("Sorted array is")
我在范围内(n):
print ("%d" %arr[i]),
此代码由 Mohit Kumra 贡献
输出:
排序数组为 5 6 7 11 12 13