How to Solve Minimum Positive Sum Subarray Problem
Master the Minimum Positive Sum Subarray LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
Interview Coder generates complete solutions and debugging hints that you can use while explaining your approach, so you stay calm and in control.
Minimum Positive Sum Subarray
You are given an integer array nums and two integers l and r. Your task is to find the minimum sum of a subarray whose size is between l and r (inclusive) and whose sum is greater than 0. Return the m...
Interview Coder will help you solve this problem in real-time during your interview
✨ Get instant solutions, explanations, and code generation
Understanding the Minimum Positive Sum Subarray Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an integer array nums and two integers l and r. Your task is to find the minimum sum of a subarray whose size is between l and r (inclusive) and whose sum is greater than 0. Return the minimum sum of such a subarray. If no such subarray exists, return -1. A subarray is a contiguous non-empty sequence of elements within an array.
Minimum Positive Sum Subarray
Related Topics
How Interview Coder Helps
Get real-time assistance for Minimum Positive Sum Subarray problems during coding interviews. Interview Coder provides instant solutions and explanations.
Examples
nums = [3, -2, 1, 4], l = 2, r = 31The subarrays of length between l = 2 and r = 3 where the sum is greater than 0 are: [3, -2] with a sum of 1 [1, 4] with a sum of 5 [3, -2, 1] with a sum of 2 [-2, 1, 4] with a sum of 3 Out of these, the subarray [3, -2] has a sum of 1, which is the smallest positive sum. Hence, the answer is 1.
nums = [-2, 2, -3, 1], l = 2, r = 3-1There is no subarray of length between l and r that has a sum greater than 0. So, the answer is -1.
nums = [1, 2, 3, 4], l = 2, r = 43The subarray [1, 2] has a length of 2 and the minimum sum greater than 0. So, the answer is 3.
Constraints
1 <= nums.length <= 1001 <= l <= r <= nums.length1000 <= nums[i] <= 1000How Interview Coder Helps with Leetcode Problems
Trust anchors reduce friction for conversion. Reinforce undetectability claims, platform compatibility, user counts, and the free trial to remove perceived risk.
See Interview Coder in Action
Watch how Interview Coder helps solve LeetCode problems during live interviews
Undetectability Checklist
Platform Compatibility
User results and traction
More than 87,000 developers use Interview Coder and early launch metrics showed rapid adoption. Social proof signals that this approach helps real candidates land offers across a range of companies.
Undetectability and technical details
Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible during live interviews.
Platform compatibility and limitations
We work with Zoom, HackerRank, CodeSignal, CoderPad and other web based platforms, with a known list of app version caveats. Check the compatibility note and request a browser link if a specific desktop app is unsupported.
Frequently Asked Questions
Common questions about solving Minimum Positive Sum Subarray and using Interview Coder during coding interviews.
Interview Coder generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
Ready to Get Started?
Download Interview Coder now and join thousands of developers who have aced their coding interviews