Phantom Code AIPhantom Code AI
FeaturesEarn with UsMy WorkspacePricing
FeaturesEarn with UsMy WorkspacePricing
Phantom Code AIPhantom Code AI
FeaturesEarn with UsMy WorkspacePricing
FeaturesEarn with UsMy WorkspacePricing
HomeLeetCode ProblemsMaximize the Number of Target Nodes After Connecting Trees II
Used by thousands of developers who passed their interviews

How to Solve Maximize the Number of Target Nodes After Connecting Trees II Problem

Master the Maximize the Number of Target Nodes After Connecting Trees II LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

Phantom Code AI generates complete solutions and debugging hints that you can use while explaining your approach, so you stay calm and in control.

undetectable
real-time
works on major platforms
Start Free
Hard#3373
LeetCode Problem

Maximize the Number of Target Nodes After Connecting Trees II

There exist two undirected trees with n and m nodes, labeled from [0, n - 1] and [0, m - 1], respectively. You are given two 2D integer arrays edges1 and edges2 of lengths n - 1 and m - 1, respectively, where edges1[i] = [ai, bi] indicates that there is an edge between nodes ai and bi in the first tree and edges2[i] = [ui, vi] indicates that there is an edge between nodes ui and vi in the second tree. Node u is target to node v if the number of edges on the path from u to v is even. Note that a node is always target to itself. Return an array of n integers answer, where answer[i] is the maximum possible number of nodes that are target to node i of the first tree if you had to connect one node from the first tree to another node in the second tree. Note that queries are independent from each other. That is, for every query you will remove the added edge before proceeding to the next query.

TreeDepth-First SearchBreadth-First Search

Phantom Code AI will help you solve this problem in real-time during your interview

Get instant solutions, explanations, and code generation
Problem Breakdown

Understanding the Maximize the Number of Target Nodes After Connecting Trees II Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

There exist two undirected trees with n and m nodes, labeled from [0, n - 1] and [0, m - 1], respectively. You are given two 2D integer arrays edges1 and edges2 of lengths n - 1 and m - 1, respectively, where edges1[i] = [ai, bi] indicates that there is an edge between nodes ai and bi in the first tree and edges2[i] = [ui, vi] indicates that there is an edge between nodes ui and vi in the second tree. Node u is target to node v if the number of edges on the path from u to v is even. Note that a node is always target to itself. Return an array of n integers answer, where answer[i] is the maximum possible number of nodes that are target to node i of the first tree if you had to connect one node from the first tree to another node in the second tree. Note that queries are independent from each other. That is, for every query you will remove the added edge before proceeding to the next query.

HardProblem #3373
LeetCode

Maximize the Number of Target Nodes After Connecting Trees II

Related Topics

TreeDepth-First SearchBreadth-First Search

How Phantom Code AI Helps

Get real-time assistance for Maximize the Number of Target Nodes After Connecting Trees II problems during coding interviews. Phantom Code AI provides instant solutions and explanations.

Examples

# Example 1

Input
edges1 = [[0,1],[0,2],[2,3],[2,4]], edges2 = [[0,1],[0,2],[0,3],[2,7],[1,4],[4,5],[4,6]]
Output
[8,7,7,8,8]

# Example 2

Input
edges1 = [[0,1],[0,2],[0,3],[0,4]], edges2 = [[0,1],[1,2],[2,3]]
Output
[3,6,6,6,6]

Constraints

2 <= n, m <= 105
edges1.length == n - 1
edges2.length == m - 1
edges1[i].length == edges2[i].length == 2
edges1[i] = [ai, bi]
0 <= ai, bi < n
edges2[i] = [ui, vi]
0 <= ui, vi < m
The input is generated such that edges1 and edges2 represent valid trees.

How Phantom Code AI Helps with LeetCode Problems

Reinforce undetectability, platform compatibility, and real-time assistance to remove any doubt.

1000+
developers use Phantom Code AI
and growing every day
95%
success rate
of users pass their interviews
100%
undetectable
native desktop architecture
Real-time
assistance
instant solutions during interviews

See Phantom Code AI in Action

Watch how Phantom Code AI helps solve LeetCode problems during live interviews

Phantom Code AI
Start Interview
⌘I
Online Round
⌘O
Hide⌘B
Interview
Listening
Think

Solve Maximize the Number of Target Nodes After Connecting Trees II — There exist two undirected trees with n and m nodes, labeled from [0, n - 1] and...

Here's the optimal approach using Tree:

def solve(input):
# Optimal O(n) solution
return result

Time: O(n)  |  Space: O(n)

Start Over ⌘G
Think & Crack ⌘↵

Undetectability Checklist

Run compatibility test before interviews
Use recommended Zoom version settings
Enable advanced screen capture options
Verify native desktop architecture
Test with screen recording software

Platform Compatibility

Zoom
Supported
Google Meet
Supported
HackerRank
Supported
CodeSignal
Supported
CoderPad
Supported
Teams
Supported

User results and traction

Thousands of developers use Phantom Code AI. Social proof signals that this approach helps real candidates land offers across a range of companies.

Undetectability and technical details

Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible.

Platform compatibility and limitations

We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Maximize the Number of Target Nodes After Connecting Trees II and using Phantom Code AI during coding interviews.

How does Phantom Code AI help me solve coding problems like Maximize the Number of Target Nodes After Connecting Trees II during interviews?
Phantom Code AI 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 Maximize the Number of Target Nodes After Connecting Trees II?
Phantom Code AI 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 AI help me communicate my solution for problems like Maximize the Number of Target Nodes After Connecting Trees II?
Yes. Phantom Code AI 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 AI assist with different programming languages for Maximize the Number of Target Nodes After Connecting Trees II type problems?
Phantom Code AI 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 AI help me avoid during Maximize the Number of Target Nodes After Connecting Trees II interviews?
Phantom Code AI 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 AI detectable when solving problems like Maximize the Number of Target Nodes After Connecting Trees II during live interviews?
No. Phantom Code AI 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 AI help when I'm struggling with Maximize the Number of Target Nodes After Connecting Trees II 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 AI work for the coding platforms used in Maximize the Number of Target Nodes After Connecting Trees II interviews?
Yes. Phantom Code AI works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
Phantom Code AI

20+ Stealth Features. Zero Detection Cases.

The only AI interview tool with an undetectable desktop overlay, real-time audio listening, and personalized AI responses.

Start Free
Phantom Code AIPhantom Code AI
Phantom Code AI is an undetectable desktop application to help you pass your Leetcode interviews.
All systems online
Download

Legal

Refund PolicyTerms of ServiceCancellation PolicyPrivacy Policy

Pages

Contact SupportHelp CenterInstant SupportFAQBlogFeaturesInterview CopilotAI Mock InterviewCoding CopilotInterview QuestionsPricingBest AI Interview Assistants 2026FeedbackLeetcode ProblemsLoginCreate Account

Compare

All 29 comparisons →Why switch (29 alternatives) →Interview Coder AlternativeFinal Round AI AlternativeUltraCode AI AlternativeParakeet AI AlternativeAI Apply AlternativeCoderRank AlternativeInterviewing.io AlternativeShadeCoder Alternative

Resources

Salary GuideResume TemplatesWhat Is Phantom Code AIIs Phantom Code AI Detectable?Use Phantom Code AI in HackerRankvs LeetCode PremiumFor European EngineersFor FAANG Interview PrepPost-Layoff ComebackIndia Pricing (INR)

Interview Types

Coding InterviewSystem Design InterviewDSA InterviewLeetCode InterviewAlgorithms InterviewData Structure InterviewSQL InterviewOnline Assessment

Alternatives — why engineers switch

See all 29 →
Interview CoderFinal Round AIParakeet AILockedIn AIUltraCode AIShadeCoderSensei AIVerve AICluelyChatGPTBeyz AIInterview SidekickYoodliAlgoMonsterCoderRankExponentFormationInterviewing.ioInterview CakeBig InterviewInterview KickstartPrampScalerAI ApplyCareerflowJobscanKickresumeTeal HQHireVue

© 2026 Phantom Code AI. All rights reserved.