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How to Solve Maximum Sum of Subsequence With Non-adjacent Elements Problem
Master the Maximum Sum of Subsequence With Non-adjacent Elements LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemMaximum Sum of Subsequence With Non-adjacent Elements
You are given an array nums consisting of integers. You are also given a 2D array queries, where queries[i] = [posi, xi]. For query i, we first set nums[posi] equal to xi, then we calculate the answer to query i which is the maximum sum of a subsequence of nums where no two adjacent elements are selected. Return the sum of the answers to all queries. Since the final answer may be very large, return it modulo 109 + 7. A subsequence is an array that can be derived from another array by deleting some or no elements without changing the order of the remaining elements.
ArrayDivide and ConquerDynamic ProgrammingSegment Tree
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Problem Breakdown
Understanding the Maximum Sum of Subsequence With Non-adjacent Elements Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an array nums consisting of integers. You are also given a 2D array queries, where queries[i] = [posi, xi]. For query i, we first set nums[posi] equal to xi, then we calculate the answer to query i which is the maximum sum of a subsequence of nums where no two adjacent elements are selected. Return the sum of the answers to all queries. Since the final answer may be very large, return it modulo 109 + 7. A subsequence is an array that can be derived from another array by deleting some or no elements without changing the order of the remaining elements.
HardProblem #3165
LeetCodeMaximum Sum of Subsequence With Non-adjacent Elements
Related Topics
ArrayDivide and ConquerDynamic ProgrammingSegment Tree
How Phantom Code Helps
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Examples
# Example 1
Input
nums = [3,5,9], queries = [[1,-2],[0,-3]]
Output
21
# Example 2
Input
nums = [0,-1], queries = [[0,-5]]
Output
0
Constraints
1 <= nums.length <= 5 * 104
-105 <= nums[i] <= 105
1 <= queries.length <= 5 * 104
queries[i] == [posi, xi]
0 <= posi <= nums.length - 1
-105 <= xi <= 105
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Solve Maximum Sum of Subsequence With Non-adjacent Elements — You are given an array nums consisting of integers. You are also given a 2D arra...
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def solve(input):
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Frequently Asked Questions
Common questions about solving Maximum Sum of Subsequence With Non-adjacent Elements and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximum Sum of Subsequence With Non-adjacent Elements 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 Subsequence With Non-adjacent Elements?
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 Subsequence With Non-adjacent Elements?
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 Subsequence With Non-adjacent Elements 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 Subsequence With Non-adjacent Elements 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 Subsequence With Non-adjacent Elements 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 Subsequence With Non-adjacent Elements 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 Subsequence With Non-adjacent Elements 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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