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HomeLeetCode ProblemsMinimum Number of Refueling Stops
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How to Solve Minimum Number of Refueling Stops Problem

Master the Minimum Number of Refueling Stops LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#871
LeetCode Problem

Minimum Number of Refueling Stops

A car travels from a starting position to a destination which is target miles east of the starting position. There are gas stations along the way. The gas stations are represented as an array stations where stations[i] = [positioni, fueli] indicates that the ith gas station is positioni miles east of the starting position and has fueli liters of gas. The car starts with an infinite tank of gas, which initially has startFuel liters of fuel in it. It uses one liter of gas per one mile that it drives. When the car reaches a gas station, it may stop and refuel, transferring all the gas from the station into the car. Return the minimum number of refueling stops the car must make in order to reach its destination. If it cannot reach the destination, return -1. Note that if the car reaches a gas station with 0 fuel left, the car can still refuel there. If the car reaches the destination with 0 fuel left, it is still considered to have arrived.

ArrayDynamic ProgrammingGreedyHeap (Priority Queue)

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Problem Breakdown

Understanding the Minimum Number of Refueling Stops Problem

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

Problem Statement

A car travels from a starting position to a destination which is target miles east of the starting position. There are gas stations along the way. The gas stations are represented as an array stations where stations[i] = [positioni, fueli] indicates that the ith gas station is positioni miles east of the starting position and has fueli liters of gas. The car starts with an infinite tank of gas, which initially has startFuel liters of fuel in it. It uses one liter of gas per one mile that it drives. When the car reaches a gas station, it may stop and refuel, transferring all the gas from the station into the car. Return the minimum number of refueling stops the car must make in order to reach its destination. If it cannot reach the destination, return -1. Note that if the car reaches a gas station with 0 fuel left, the car can still refuel there. If the car reaches the destination with 0 fuel left, it is still considered to have arrived.

HardProblem #871
LeetCode

Minimum Number of Refueling Stops

Related Topics

ArrayDynamic ProgrammingGreedyHeap (Priority Queue)

How Phantom Code Helps

Get real-time assistance for Minimum Number of Refueling Stops problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input
target = 1, startFuel = 1, stations = []
Output
0

# Example 2

Input
target = 100, startFuel = 1, stations = [[10,100]]
Output
-1

# Example 3

Input
target = 100, startFuel = 10, stations = [[10,60],[20,30],[30,30],[60,40]]
Output
2

Constraints

1 <= target, startFuel <= 109
0 <= stations.length <= 500
1 <= positioni < positioni+1 < target
1 <= fueli < 109

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Solve Minimum Number of Refueling Stops — A car travels from a starting position to a destination which is target miles ea...

Here's the optimal approach using Array:

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 Number of Refueling Stops and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Minimum Number of Refueling Stops 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 Number of Refueling Stops?
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 Number of Refueling Stops?
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 Number of Refueling Stops 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 Number of Refueling Stops 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 Number of Refueling Stops 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 Number of Refueling Stops 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 Number of Refueling Stops 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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