1343.number-of-avg-subarr-sizek-greater-or-equal-threshold

Problem

1343. Number of Sub-arrays of Size K and Average Greater than or Equal to Threshold

Problem Description

Given an array of integers arr and two integers k and threshold.

Return the number of sub-arrays of size k and average greater than or equal to threshold.

 Example 1:

 Input: arr = [2,2,2,2,5,5,5,8], k = 3, threshold = 4
 Output: 3
 Explanation: Sub-arrays [2,5,5],[5,5,5] and [5,5,8] have averages 4, 5 and 6 respectively. All other sub-arrays of size 3 have averages less than 4 (the threshold).

 Example 2:

 Input: arr = [1,1,1,1,1], k = 1, threshold = 0
 Output: 5

 Example 3:

 Input: arr = [11,13,17,23,29,31,7,5,2,3], k = 3, threshold = 5
 Output: 6
 Explanation: The first 6 sub-arrays of size 3 have averages greater than 5. Note that averages are not integers.

 Example 4:

 Input: arr = [7,7,7,7,7,7,7], k = 7, threshold = 7
 Output: 1

 Example 5:

 Input: arr = [4,4,4,4], k = 4, threshold = 1
 Output: 1

Constraints:

  1 <= arr.length <= 10^5
  1 <= arr[i] <= 10^4
  1 <= k <= arr.length
  0 <= threshold <= 10^4

Solution

This problem is pretty straigtforward, group each size k subarray, calculate avg of this group, compare avg and threshold.

Steps:

  • check whether current length of arr and size k

    • if len < k, return false. not enough elements to from a group subarray of size k.

  • scan arr from start position 0, each time check group a subarray of size k.

    • calculate avg of subarray of current size k [i, i + k -1],

    • if avg >= threshold, count + 1

    • otherwise, do nothing, continue, index i+1;

  • until last pos (len - k). return count.

For example:

Number of Subarrays

Complexity Analysis

  • Time Complexity: O(n) - n is the length of arr

  • Space Complexity: O(1) - no extra space

Key Points

  • Group each size k subarray.

  • Calculate avg of subarray of size k, compare with threshold

  • Count increase 1 if meet requirements

Code

Java Code

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