Used by thousands of developers who passed their interviews
How to Solve Minimize Maximum Component Cost Problem
Master the Minimize Maximum Component Cost LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
Phantom Code 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 for WindowsMedium#3613
LeetCode ProblemMinimize Maximum Component Cost
You are given an undirected connected graph with n nodes labeled from 0 to n - 1 and a 2D integer array edges where edges[i] = [ui, vi, wi] denotes an undirected edge between node ui and node vi with weight wi, and an integer k. You are allowed to remove any number of edges from the graph such that the resulting graph has at most k connected components. The cost of a component is defined as the maximum edge weight in that component. If a component has no edges, its cost is 0. Return the minimum possible value of the maximum cost among all components after such removals.
Binary SearchSortUnion FindGraph
Phantom Code will help you solve this problem in real-time during your interview
Get instant solutions, explanations, and code generation
Problem Breakdown
Understanding the Minimize Maximum Component Cost Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an undirected connected graph with n nodes labeled from 0 to n - 1 and a 2D integer array edges where edges[i] = [ui, vi, wi] denotes an undirected edge between node ui and node vi with weight wi, and an integer k. You are allowed to remove any number of edges from the graph such that the resulting graph has at most k connected components. The cost of a component is defined as the maximum edge weight in that component. If a component has no edges, its cost is 0. Return the minimum possible value of the maximum cost among all components after such removals.
MediumProblem #3613
LeetCodeMinimize Maximum Component Cost
Related Topics
Binary SearchSortUnion FindGraph
How Phantom Code Helps
Get real-time assistance for Minimize Maximum Component Cost problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
n = 5, edges = [[0,1,4],[1,2,3],[1,3,2],[3,4,6]], k = 2
Output
4
# Example 2
Input
n = 4, edges = [[0,1,5],[1,2,5],[2,3,5]], k = 1
Output
5
Constraints
1 <= n <= 5 * 104
0 <= edges.length <= 105
edges[i].length == 3
0 <= ui, vi < n
1 <= wi <= 106
1 <= k <= n
The input graph is connected.
How Phantom Code Helps with LeetCode Problems
Reinforce undetectability, platform compatibility, and real-time assistance to remove any doubt.
1000+
developers use Phantom Code
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 in Action
Watch how Phantom Code helps solve LeetCode problems during live interviews
Start Interview
⌘I
Online Round
⌘O
Hide⌘B
Interview
Listening
Think
Solve Minimize Maximum Component Cost — You are given an undirected connected graph with n nodes labeled from 0 to n - 1...
Here's the optimal approach using Binary Search:
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. 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 Minimize Maximum Component Cost and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimize Maximum Component Cost 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 Minimize Maximum Component Cost?
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 Minimize Maximum Component Cost?
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 Minimize Maximum Component Cost 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 Minimize Maximum Component Cost 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 Minimize Maximum Component Cost 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 Minimize Maximum Component Cost 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 Minimize Maximum Component Cost interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
₹999/month. Zero Detection Cases.
The only AI interview tool with an undetectable desktop overlay, real-time audio listening, and personalized AI responses.