How to Solve Maximize Spanning Tree Stability with Upgrades Leetcode Problem - Interview Coder Guide
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How to Solve Maximize Spanning Tree Stability with Upgrades Problem

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Hard#3902
LeetCode Problem

Maximize Spanning Tree Stability with Upgrades

You are given an integer n, representing n nodes numbered from 0 to n - 1 and a list of edges, where edges[i] = [ui, vi, si, musti]: ui and vi indicates an undirected edge between nodes ui and vi. si ...

Binary SearchGreedyUnion Find+2 more

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Problem Breakdown

Understanding the Maximize Spanning Tree Stability with Upgrades Problem

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Problem Statement

You are given an integer n, representing n nodes numbered from 0 to n - 1 and a list of edges, where edges[i] = [ui, vi, si, musti]: ui and vi indicates an undirected edge between nodes ui and vi. si is the strength of the edge. musti is an integer (0 or 1). If musti == 1, the edge must be included in the spanning tree. These edges cannot be upgraded. You are also given an integer k, the maximum number of upgrades you can perform. Each upgrade doubles the strength of an edge, and each eligible edge (with musti == 0) can be upgraded at most once. The stability of a spanning tree is defined as the minimum strength score among all edges included in it. Return the maximum possible stability of any valid spanning tree. If it is impossible to connect all nodes, return -1. Note: A spanning tree of a graph with n nodes is a subset of the edges that connects all nodes together (i.e. the graph is connected) without forming any cycles, and uses exactly n - 1 edges.

HardProblem #3902
LeetCode

Maximize Spanning Tree Stability with Upgrades

Related Topics
Binary SearchGreedyUnion FindGraphMinimum Spanning Tree
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Examples

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

Edge [0,1] with strength = 2 must be included in the spanning tree. Edge [1,2] is optional and can be upgraded from 3 to 6 using one upgrade. The resulting spanning tree includes these two edges with strengths 2 and 6. The minimum strength in the spanning tree is 2, which is the maximum possible stability.

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

Since all edges are optional and up to k = 2 upgrades are allowed. Upgrade edges [0,1] from 4 to 8 and [1,2] from 3 to 6. The resulting spanning tree includes these two edges with strengths 8 and 6. The minimum strength in the tree is 6, which is the maximum possible stability.

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

All edges are mandatory and form a cycle, which violates the spanning tree property of acyclicity. Thus, the answer is -1.

Constraints

2 <= n <= 105
1 <= edges.length

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