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How to Solve Maximum Sum of 3 Non-Overlapping Subarrays Problem
Master the Maximum Sum of 3 Non-Overlapping Subarrays LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemMaximum Sum of 3 Non-Overlapping Subarrays
Given an integer array nums and an integer k, find three non-overlapping subarrays of length k with maximum sum and return them. Return the result as a list of indices representing the starting position of each interval (0-indexed). If there are multiple answers, return the lexicographically smallest one.
ArrayDynamic ProgrammingSliding WindowPrefix Sum
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Problem Breakdown
Understanding the Maximum Sum of 3 Non-Overlapping Subarrays Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
Given an integer array nums and an integer k, find three non-overlapping subarrays of length k with maximum sum and return them. Return the result as a list of indices representing the starting position of each interval (0-indexed). If there are multiple answers, return the lexicographically smallest one.
HardProblem #689
LeetCodeMaximum Sum of 3 Non-Overlapping Subarrays
Related Topics
ArrayDynamic ProgrammingSliding WindowPrefix Sum
How Phantom Code Helps
Get real-time assistance for Maximum Sum of 3 Non-Overlapping Subarrays problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums = [1,2,1,2,6,7,5,1], k = 2
Output
[0,3,5]
# Example 2
Input
nums = [1,2,1,2,1,2,1,2,1], k = 2
Output
[0,2,4]
Constraints
1 <= nums.length <= 2 * 104
1 <= nums[i] < 216
1 <= k <= floor(nums.length / 3)
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Solve Maximum Sum of 3 Non-Overlapping Subarrays — Given an integer array nums and an integer k, find three non-overlapping subarra...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Maximum Sum of 3 Non-Overlapping Subarrays and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximum Sum of 3 Non-Overlapping Subarrays during interviews?
Phantom Code 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.
What if the interviewer asks follow-up questions or modifications to problems like Maximum Sum of 3 Non-Overlapping Subarrays?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Maximum Sum of 3 Non-Overlapping Subarrays?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Maximum Sum of 3 Non-Overlapping Subarrays type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Maximum Sum of 3 Non-Overlapping Subarrays interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Maximum Sum of 3 Non-Overlapping Subarrays during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Maximum Sum of 3 Non-Overlapping Subarrays style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Maximum Sum of 3 Non-Overlapping Subarrays interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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