LeetCode 3427: Sum of Variable Length Subarrays Solution
Master LeetCode problem 3427 (Sum of Variable Length Subarrays), a easy 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.
3427. Sum of Variable Length Subarrays
Problem Explanation
Explanation
To solve this problem, we need to calculate the sum of all possible subarrays for each index i in the given array nums. The key observation is that for each index i, the start index of the subarray can be calculated as start = max(0, i - nums[i]). We then iterate through all possible subarrays and calculate the sum.
Algorithm:
- Initialize a variable
totalSumto 0 to store the total sum of all subarrays. - Iterate over each index
iin the arraynums. - Calculate the start index as
start = max(0, i - nums[i]). - Iterate over the subarray from indices
starttoiand calculate the sum by adding each element tototalSum. - Finally, return
totalSumas the result.
Time Complexity: O(n^2) where n is the number of elements in the array nums.
Space Complexity: O(1) as we are using only a constant amount of extra space.
Solution Code
class Solution {
public int sumOfSubarrays(int[] nums) {
int totalSum = 0;
for (int i = 0; i < nums.length; i++) {
int start = Math.max(0, i - nums[i]);
for (int j = start; j <= i; j++) {
totalSum += nums[j];
}
}
return totalSum;
}
}Try It Yourself
Loading code editor...
Related LeetCode Problems
Frequently Asked Questions
How to solve LeetCode 3427 (Sum of Variable Length Subarrays)?
This page provides optimized solutions for LeetCode problem 3427 (Sum of Variable Length Subarrays) in Java, C++, and Python, along with a detailed explanation and an interactive code editor to test your code.
What is the time complexity of LeetCode 3427 (Sum of Variable Length Subarrays)?
The time complexity for LeetCode 3427 (Sum of Variable Length Subarrays) varies by solution. Check the detailed explanation section for specific complexities in Java, C++, and Python implementations.
Can I run code for LeetCode 3427 on DevExCode?
Yes, DevExCode provides an interactive code editor where you can write, test, and run your code for LeetCode 3427 in Java, C++, or Python.