How to Solve Minimize Maximum Component Cost Leetcode Problem - Interview Coder Guide
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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.

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Medium#3881
LeetCode Problem

Minimize 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 ...

Binary SearchUnion FindGraph+1 more

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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 #3881
LeetCode

Minimize Maximum Component Cost

Related Topics
Binary SearchUnion FindGraphSorting
How Interview Coder Helps

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Examples

Example 1
INPUT
n = 5, edges = [[0,1,4],[1,2,3],[1,3,2],[3,4,6]], k = 2
OUTPUT
4
EXPLANATION

Remove the edge between nodes 3 and 4 (weight 6). The resulting components have costs of 0 and 4, so the overall maximum cost is 4.

Example 2
INPUT
n = 4, edges = [[0,1,5],[1,2,5],[2,3,5]], k = 1
OUTPUT
5
EXPLANATION

No edge can be removed, since allowing only one component (k = 1) requires the graph to stay fully connected. That single component’s cost equals its largest edge weight, which is 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.

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