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HomeLeetCode ProblemsNetwork Recovery Pathways
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How to Solve Network Recovery Pathways Problem

Master the Network Recovery Pathways LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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

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Hard#3620
LeetCode Problem

Network Recovery Pathways

You are given a directed acyclic graph of n nodes numbered from 0 to n − 1. This is represented by a 2D array edges of length m, where edges[i] = [ui, vi, costi] indicates a one‑way communication from node ui to node vi with a recovery cost of costi. Some nodes may be offline. You are given a boolean array online where online[i] = true means node i is online. Nodes 0 and n − 1 are always online. A path from 0 to n − 1 is valid if: For each valid path, define its score as the minimum edge‑cost along that path. Return the maximum path score (i.e., the largest minimum-edge cost) among all valid paths. If no valid path exists, return -1.

ArrayBinary SearchDynamic ProgrammingGraphTopological SortHeap (Priority Queue)Shortest Path

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Problem Breakdown

Understanding the Network Recovery Pathways Problem

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

Problem Statement

You are given a directed acyclic graph of n nodes numbered from 0 to n − 1. This is represented by a 2D array edges of length m, where edges[i] = [ui, vi, costi] indicates a one‑way communication from node ui to node vi with a recovery cost of costi. Some nodes may be offline. You are given a boolean array online where online[i] = true means node i is online. Nodes 0 and n − 1 are always online. A path from 0 to n − 1 is valid if: For each valid path, define its score as the minimum edge‑cost along that path. Return the maximum path score (i.e., the largest minimum-edge cost) among all valid paths. If no valid path exists, return -1.

HardProblem #3620
LeetCode

Network Recovery Pathways

Related Topics

ArrayBinary SearchDynamic ProgrammingGraphTopological SortHeap (Priority Queue)Shortest Path

How PhantomCodeAI Helps

Get real-time assistance for Network Recovery Pathways problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
edges = [[0,1,5],[1,3,10],[0,2,3],[2,3,4]], online = [true,true,true,true], k = 10
Output
3

# Example 2

Input
edges = [[0,1,7],[1,4,5],[0,2,6],[2,3,6],[3,4,2],[2,4,6]], online = [true,true,true,false,true], k = 12
Output
6

Constraints

n == online.length
2 <= n <= 5 * 104
0 <= m == edges.length <= min(105, n * (n - 1) / 2)
edges[i] = [ui, vi, costi]
0 <= ui, vi < n
ui != vi
0 <= costi <= 109
0 <= k <= 5 * 1013
online[i] is either true or false, and both online[0] and online[n − 1] are true.
The given graph is a directed acyclic graph.

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Solve Network Recovery Pathways — You are given a directed acyclic graph of n nodes numbered from 0 to n − 1. This...

Here's the optimal approach using Array:

def solve(input):
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Time: O(n)  |  Space: O(n)

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Frequently Asked Questions

Common questions about solving Network Recovery Pathways 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?
11 languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set a preferred language to get idiomatic solutions.
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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