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How to Solve Minimum Difference in Sums After Removal of Elements Problem
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LeetCode ProblemMinimum Difference in Sums After Removal of Elements
You are given a 0-indexed integer array nums consisting of 3 * n elements. You are allowed to remove any subsequence of elements of size exactly n from nums. The remaining 2 * n elements will be divided into two equal parts: The difference in sums of the two parts is denoted as sumfirst - sumsecond. Return the minimum difference possible between the sums of the two parts after the removal of n elements.
ArrayDynamic ProgrammingHeap (Priority Queue)
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Problem Breakdown
Understanding the Minimum Difference in Sums After Removal of Elements Problem
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Problem Statement
You are given a 0-indexed integer array nums consisting of 3 * n elements. You are allowed to remove any subsequence of elements of size exactly n from nums. The remaining 2 * n elements will be divided into two equal parts: The difference in sums of the two parts is denoted as sumfirst - sumsecond. Return the minimum difference possible between the sums of the two parts after the removal of n elements.
HardProblem #2163
LeetCodeMinimum Difference in Sums After Removal of Elements
Related Topics
ArrayDynamic ProgrammingHeap (Priority Queue)
How Phantom Code Helps
Get real-time assistance for Minimum Difference in Sums After Removal of Elements problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums = [3,1,2]
Output
-1
# Example 2
Input
nums = [7,9,5,8,1,3]
Output
1
Constraints
nums.length == 3 * n
1 <= n <= 105
1 <= nums[i] <= 105
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Solve Minimum Difference in Sums After Removal of Elements — You are given a 0-indexed integer array nums consisting of 3 * n elements. You a...
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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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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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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