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How to Solve Minimum Time to Reach Destination in Directed Graph Problem
Master the Minimum Time to Reach Destination in Directed Graph LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#3604
LeetCode ProblemMinimum Time to Reach Destination in Directed Graph
You are given an integer n and a directed graph with n nodes labeled from 0 to n - 1. This is represented by a 2D array edges, where edges[i] = [ui, vi, starti, endi] indicates an edge from node ui to vi that can only be used at any integer time t such that starti <= t <= endi. You start at node 0 at time 0. In one unit of time, you can either: Return the minimum time required to reach node n - 1. If it is impossible, return -1.
GraphHeap (Priority Queue)Shortest Path
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Problem Breakdown
Understanding the Minimum Time to Reach Destination in Directed Graph 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 and a directed graph with n nodes labeled from 0 to n - 1. This is represented by a 2D array edges, where edges[i] = [ui, vi, starti, endi] indicates an edge from node ui to vi that can only be used at any integer time t such that starti <= t <= endi. You start at node 0 at time 0. In one unit of time, you can either: Return the minimum time required to reach node n - 1. If it is impossible, return -1.
MediumProblem #3604
LeetCodeMinimum Time to Reach Destination in Directed Graph
Related Topics
GraphHeap (Priority Queue)Shortest Path
How Phantom Code Helps
Get real-time assistance for Minimum Time to Reach Destination in Directed Graph problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
n = 3, edges = [[0,1,0,1],[1,2,2,5]]
Output
3
# Example 2
Input
n = 4, edges = [[0,1,0,3],[1,3,7,8],[0,2,1,5],[2,3,4,7]]
Output
5
# Example 3
Input
n = 3, edges = [[1,0,1,3],[1,2,3,5]]
Output
-1
Constraints
1 <= n <= 105
0 <= edges.length <= 105
edges[i] == [ui, vi, starti, endi]
0 <= ui, vi <= n - 1
ui != vi
0 <= starti <= endi <= 109
How Phantom Code Helps with LeetCode Problems
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Solve Minimum Time to Reach Destination in Directed Graph — You are given an integer n and a directed graph with n nodes labeled from 0 to n...
Here's the optimal approach using Graph:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Minimum Time to Reach Destination in Directed Graph and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Time to Reach Destination in Directed Graph 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 Minimum Time to Reach Destination in Directed Graph?
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 Minimum Time to Reach Destination in Directed Graph?
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 Minimum Time to Reach Destination in Directed Graph 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 Minimum Time to Reach Destination in Directed Graph 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 Minimum Time to Reach Destination in Directed Graph 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 Minimum Time to Reach Destination in Directed Graph 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 Minimum Time to Reach Destination in Directed Graph interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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