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HomeLeetCode ProblemsMinimum Weighted Subgraph With the Required Paths
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How to Solve Minimum Weighted Subgraph With the Required Paths Problem

Master the Minimum Weighted Subgraph With the Required Paths LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#2203
LeetCode Problem

Minimum Weighted Subgraph With the Required Paths

You are given an integer n denoting the number of nodes of a weighted directed graph. The nodes are numbered from 0 to n - 1. You are also given a 2D integer array edges where edges[i] = [fromi, toi, weighti] denotes that there exists a directed edge from fromi to toi with weight weighti. Lastly, you are given three distinct integers src1, src2, and dest denoting three distinct nodes of the graph. Return the minimum weight of a subgraph of the graph such that it is possible to reach dest from both src1 and src2 via a set of edges of this subgraph. In case such a subgraph does not exist, return -1. A subgraph is a graph whose vertices and edges are subsets of the original graph. The weight of a subgraph is the sum of weights of its constituent edges.

GraphShortest Path

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Problem Breakdown

Understanding the Minimum Weighted Subgraph With the Required Paths Problem

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

Problem Statement

You are given an integer n denoting the number of nodes of a weighted directed graph. The nodes are numbered from 0 to n - 1. You are also given a 2D integer array edges where edges[i] = [fromi, toi, weighti] denotes that there exists a directed edge from fromi to toi with weight weighti. Lastly, you are given three distinct integers src1, src2, and dest denoting three distinct nodes of the graph. Return the minimum weight of a subgraph of the graph such that it is possible to reach dest from both src1 and src2 via a set of edges of this subgraph. In case such a subgraph does not exist, return -1. A subgraph is a graph whose vertices and edges are subsets of the original graph. The weight of a subgraph is the sum of weights of its constituent edges.

HardProblem #2203
LeetCode

Minimum Weighted Subgraph With the Required Paths

Related Topics

GraphShortest Path

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Get real-time assistance for Minimum Weighted Subgraph With the Required Paths problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
n = 6, edges = [[0,2,2],[0,5,6],[1,0,3],[1,4,5],[2,1,1],[2,3,3],[2,3,4],[3,4,2],[4,5,1]], src1 = 0, src2 = 1, dest = 5
Output
9

# Example 2

Input
n = 3, edges = [[0,1,1],[2,1,1]], src1 = 0, src2 = 1, dest = 2
Output
-1

Constraints

3 <= n <= 105
0 <= edges.length <= 105
edges[i].length == 3
0 <= fromi, toi, src1, src2, dest <= n - 1
fromi != toi
src1, src2, and dest are pairwise distinct.
1 <= weight[i] <= 105

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Solve Minimum Weighted Subgraph With the Required Paths — You are given an integer n denoting the number of nodes of a weighted directed g...

Here's the optimal approach using Graph:

def solve(input):
# Optimal O(n) solution
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Time: O(n)  |  Space: O(n)

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Frequently Asked Questions

Common questions about solving Minimum Weighted Subgraph With the Required Paths and using PhantomCodeAI during coding interviews.

How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
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Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
Yes — it works alongside LeetCode, HackerRank, CodeSignal, CoderPad, and HackerEarth, plus any browser-based coding environment.
Can PhantomCodeAI handle follow-up questions and modifications?
Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.

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