LeetCode 2444: Count Subarrays With Fixed Bounds Solution
Master LeetCode problem 2444 (Count Subarrays With Fixed Bounds), a hard challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
2444. Count Subarrays With Fixed Bounds
Problem Explanation
Explanation:
To solve this problem, we can use a two-pointer sliding window approach. We will iterate through the array and keep track of the indices of the minimum and maximum values within the current subarray. Whenever we encounter a subarray where the minimum value is equal to minK and the maximum value is equal to maxK, we can count all the valid subarrays that end at the right pointer.
Here are the detailed steps:
- Initialize two pointers
leftandrightto track the current subarray. - Iterate through the array using the
rightpointer. - Update the minimum and maximum values in the current subarray.
- If the current subarray satisfies the conditions, we can calculate the number of valid subarrays ending at the
rightpointer. - Increment the
rightpointer and update the count of valid subarrays. - Continue the process until we reach the end of the array.
Time Complexity: O(N) where N is the number of elements in the given array. Space Complexity: O(1) since we are using a constant amount of extra space.
Solution Code
class Solution {
public int numSubarrayBoundedMax(int[] nums, int minK, int maxK) {
int count = 0;
int left = 0, right = 0;
int validSubarrays = 0;
int prevCount = 0;
while (right < nums.length) {
if (nums[right] >= minK && nums[right] <= maxK) {
prevCount = right - left + 1;
validSubarrays += prevCount;
count += prevCount;
} else if (nums[right] < minK) {
validSubarrays += prevCount;
} else {
prevCount = 0;
left = right + 1;
}
right++;
}
return count;
}
}Try It Yourself
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