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How to Solve Largest Sum of Averages Problem
Master the Largest Sum of Averages LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#813
LeetCode ProblemLargest Sum of Averages
You are given an integer array nums and an integer k. You can partition the array into at most k non-empty adjacent subarrays. The score of a partition is the sum of the averages of each subarray. Note that the partition must use every integer in nums, and that the score is not necessarily an integer. Return the maximum score you can achieve of all the possible partitions. Answers within 10-6 of the actual answer will be accepted.
ArrayDynamic ProgrammingPrefix Sum
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Problem Breakdown
Understanding the Largest Sum of Averages Problem
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Problem Statement
You are given an integer array nums and an integer k. You can partition the array into at most k non-empty adjacent subarrays. The score of a partition is the sum of the averages of each subarray. Note that the partition must use every integer in nums, and that the score is not necessarily an integer. Return the maximum score you can achieve of all the possible partitions. Answers within 10-6 of the actual answer will be accepted.
MediumProblem #813
LeetCodeLargest Sum of Averages
Related Topics
ArrayDynamic ProgrammingPrefix Sum
How Phantom Code Helps
Get real-time assistance for Largest Sum of Averages problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums = [9,1,2,3,9], k = 3
Output
20.00000
# Example 2
Input
nums = [1,2,3,4,5,6,7], k = 4
Output
20.50000
Constraints
1 <= nums.length <= 100
1 <= nums[i] <= 104
1 <= k <= nums.length
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Solve Largest Sum of Averages — You are given an integer array nums and an integer k. You can partition the arra...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
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Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Largest Sum of Averages and using Phantom Code during coding interviews.
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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.
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How does Phantom Code assist with different programming languages for Largest Sum of Averages 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 Largest Sum of Averages 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.
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How does Phantom Code help when I'm struggling with Largest Sum of Averages 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.
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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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