Count Subarrays With Score Less Than K
Problem statement
The score of an array is defined as the product of its sum and its length.
For example, the score of [1, 2, 3, 4, 5]
is (1 + 2 + 3 + 4 + 5) * 5 = 75
.
Given a positive integer array nums and an integer \(K\), return the number of non-empty \(subarrays\) of nums whose score is strictly less than \(K\).
A \(subarray\) is a contiguous sequence of elements within an array.
Example test cases
Example #1
Input: nums = [2,1,4,3,5], k = 10
Output: 6
Explanation:
The 6 subarrays having scores less than 10 are:
- [2] with score 2 * 1 = 2.
- [1] with score 1 * 1 = 1.
- [4] with score 4 * 1 = 4.
- [3] with score 3 * 1 = 3.
- [5] with score 5 * 1 = 5.
- [2,1] with score (2 + 1) * 2 = 6.
Note that subarrays such as [1,4] and [4,3,5] are not considered because their scores are 10 and 36 respectively, while we need scores strictly less than 10.
Example #2
Input: nums = [1,1,1], k = 5
Output: 5
Explanation:
Every subarray except [1,1,1] has a score less than 5.
[1,1,1] has a score (1 + 1 + 1) * 3 = 9, which is greater than 5.
Thus, there are 5 subarrays having scores less than 5.
Constraints
1 <= nums.length <= 105
1 <= nums[i] <= 105
1 <= k <= 1015
Observation
If there is an array with length \(L\) and \(score < K\), then it produces \(S = 1 + 2 + 3 + ... + L\) different subarrays.
Solution: prefix sum + binary search
- Create the prefix sum array [6-10];
- For each \(i_{th}\) find the longest subarray with \(score < K\) [15-31];
- Calculate and add \(S\) to the result [33].
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
|
Solution time complexity: \(O(n*log(n))\)
Solution memory complexity: \(O(n)\)
Solution: sliding window
- On each iteration extend the sliding window to the right and calculate the new sum;
- If \(score\) \(\geqslant\) \(K\), then shrink window by popping out the element from the left until \(score < K\);
- Calculate and add \(S\) to the result.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
|
Solution memory complexity: \(O(1)\)