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How to Solve Maximum Sum Queries Problem
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Start Free for WindowsHard#2736
LeetCode ProblemMaximum Sum Queries
You are given two 0-indexed integer arrays nums1 and nums2, each of length n, and a 1-indexed 2D array queries where queries[i] = [xi, yi]. For the ith query, find the maximum value of nums1[j] + nums2[j] among all indices j (0 <= j < n), where nums1[j] >= xi and nums2[j] >= yi, or -1 if there is no j satisfying the constraints. Return an array answer where answer[i] is the answer to the ith query.
ArrayBinary SearchStackBinary Indexed TreeSegment TreeSortingMonotonic Stack
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Problem Breakdown
Understanding the Maximum Sum Queries Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given two 0-indexed integer arrays nums1 and nums2, each of length n, and a 1-indexed 2D array queries where queries[i] = [xi, yi]. For the ith query, find the maximum value of nums1[j] + nums2[j] among all indices j (0 <= j < n), where nums1[j] >= xi and nums2[j] >= yi, or -1 if there is no j satisfying the constraints. Return an array answer where answer[i] is the answer to the ith query.
HardProblem #2736
LeetCodeMaximum Sum Queries
Related Topics
ArrayBinary SearchStackBinary Indexed TreeSegment TreeSortingMonotonic Stack
How Phantom Code Helps
Get real-time assistance for Maximum Sum Queries problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums1 = [4,3,1,2], nums2 = [2,4,9,5], queries = [[4,1],[1,3],[2,5]]
Output
[6,10,7]
# Example 2
Input
nums1 = [3,2,5], nums2 = [2,3,4], queries = [[4,4],[3,2],[1,1]]
Output
[9,9,9]
# Example 3
Input
nums1 = [2,1], nums2 = [2,3], queries = [[3,3]]
Output
[-1]
Constraints
nums1.length == nums2.length
n == nums1.length
1 <= n <= 105
1 <= nums1[i], nums2[i] <= 109
1 <= queries.length <= 105
queries[i].length == 2
xi == queries[i][1]
yi == queries[i][2]
1 <= xi, yi <= 109
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Solve Maximum Sum Queries — You are given two 0-indexed integer arrays nums1 and nums2, each of length n, an...
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 Maximum Sum Queries and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximum Sum Queries 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 Queries?
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 Queries?
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 Queries 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 Queries 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 Queries 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 Queries 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 Queries 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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