Python3 程序查找具有最小平均数的子数组

给定一个大小为 n 的数组 arr[] 和整数 k，使得 k <= n。

例子 ：

Input:  arr[] = {3, 7, 90, 20, 10, 50, 40}, k = 3
Output: Subarray between indexes 3 and 5
The subarray {20, 10, 50} has the least average 
among all subarrays of size 3.

Input:  arr[] = {3, 7, 5, 20, -10, 0, 12}, k = 2
Output: Subarray between [4, 5] has minimum average

我们强烈建议您单击此处并进行练习，然后再继续使用解决方案。

一个简单的解决方案是将每个元素视为大小为 k 的子数组的开始，并计算从该元素开始的子数组的总和。该解决方案的时间复杂度为 O(nk)。

一个有效的解决方案是在 O(n) 时间和 O(1) 额外空间内解决上述问题。这个想法是使用大小为 k 的滑动窗口。跟踪当前 k 个元素的总和。要计算当前窗口的总和，请删除前一个窗口的第一个元素并添加当前元素（当前窗口的最后一个元素）。

1) Initialize res_index = 0 // Beginning of result index
2) Find sum of first k elements. Let this sum be 'curr_sum'
3) Initialize min_sum = sum
4) Iterate from (k+1)'th to n'th element, do following
   for every element arr[i]
      a) curr_sum = curr_sum + arr[i] - arr[i-k]
      b) If curr_sum < min_sum
           res_index = (i-k+1)
5) Print res_index and res_index+k-1 as beginning and ending
   indexes of resultant subarray.

下面是上述算法的实现。

Python3

# Python3 program to find
# minimum average subarray
  
# Prints beginning and ending 
# indexes of subarray of size k
# with minimum average
def findMinAvgSubarray(arr, n, k):
  
    # k must be smaller than or equal to n
    if (n < k): return 0
  
    # Initialize beginning index of result
    res_index = 0
  
    # Compute sum of first subarray of size k
    curr_sum = 0
    for i in range(k):
        curr_sum += arr[i]
  
    # Initialize minimum sum as current sum
    min_sum = curr_sum
  
    # Traverse from (k + 1)'th
    # element to n'th element
    for i in range(k, n):
      
        # Add current item and remove first 
        # item of previous subarray
        curr_sum += arr[i] - arr[i-k]
  
        # Update result if needed
        if (curr_sum < min_sum):
          
            min_sum = curr_sum
            res_index = (i - k + 1)
          
    print("Subarray between [", res_index,
          ", ", (res_index + k - 1),
          "] has minimum average")
  
# Driver Code
arr = [3, 7, 90, 20, 10, 50, 40]
k = 3 # Subarray size
n = len(arr)
findMinAvgSubarray(arr, n, k)
  
# This code is contributed by Anant Agarwal.

输出：

Subarray between [3, 5] has minimum average

时间复杂度：O(n)
辅助空间：O(1)

有关更多详细信息，请参阅有关查找具有最低平均值的子数组的完整文章！