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How to Solve Find the City With the Smallest Number of Neighbors at a Threshold Distance Problem
Master the Find the City With the Smallest Number of Neighbors at a Threshold Distance LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#1334
LeetCode ProblemFind the City With the Smallest Number of Neighbors at a Threshold Distance
There are n cities numbered from 0 to n-1. Given the array edges where edges[i] = [fromi, toi, weighti] represents a bidirectional and weighted edge between cities fromi and toi, and given the integer distanceThreshold. Return the city with the smallest number of cities that are reachable through some path and whose distance is at most distanceThreshold, If there are multiple such cities, return the city with the greatest number. Notice that the distance of a path connecting cities i and j is equal to the sum of the edges' weights along that path.
Dynamic ProgrammingGraphShortest Path
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Problem Breakdown
Understanding the Find the City With the Smallest Number of Neighbors at a Threshold Distance Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There are n cities numbered from 0 to n-1. Given the array edges where edges[i] = [fromi, toi, weighti] represents a bidirectional and weighted edge between cities fromi and toi, and given the integer distanceThreshold. Return the city with the smallest number of cities that are reachable through some path and whose distance is at most distanceThreshold, If there are multiple such cities, return the city with the greatest number. Notice that the distance of a path connecting cities i and j is equal to the sum of the edges' weights along that path.
MediumProblem #1334
LeetCodeFind the City With the Smallest Number of Neighbors at a Threshold Distance
Related Topics
Dynamic ProgrammingGraphShortest Path
How Phantom Code Helps
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Examples
# Example 1
Input
n = 4, edges = [[0,1,3],[1,2,1],[1,3,4],[2,3,1]], distanceThreshold = 4
Output
3
# Example 2
Input
n = 5, edges = [[0,1,2],[0,4,8],[1,2,3],[1,4,2],[2,3,1],[3,4,1]], distanceThreshold = 2
Output
0
Constraints
2 <= n <= 100
1 <= edges.length <= n * (n - 1) / 2
edges[i].length == 3
0 <= fromi < toi < n
1 <= weighti, distanceThreshold <= 10^4
All pairs (fromi, toi) are distinct.
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Solve Find the City With the Smallest Number of Neighbors at a Threshold Distance — There are n cities numbered from 0 to n-1. Given the array edges where edges[i] ...
Here's the optimal approach using Dynamic Programming:
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 Find the City With the Smallest Number of Neighbors at a Threshold Distance and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Find the City With the Smallest Number of Neighbors at a Threshold Distance 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 Find the City With the Smallest Number of Neighbors at a Threshold Distance?
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 Find the City With the Smallest Number of Neighbors at a Threshold Distance?
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 Find the City With the Smallest Number of Neighbors at a Threshold Distance 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 Find the City With the Smallest Number of Neighbors at a Threshold Distance 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 Find the City With the Smallest Number of Neighbors at a Threshold Distance 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 Find the City With the Smallest Number of Neighbors at a Threshold Distance 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 Find the City With the Smallest Number of Neighbors at a Threshold Distance 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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