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HomeLeetCode ProblemsMinimum Skips to Arrive at Meeting On Time
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How to Solve Minimum Skips to Arrive at Meeting On Time Problem

Master the Minimum Skips to Arrive at Meeting On Time LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#1883
LeetCode Problem

Minimum Skips to Arrive at Meeting On Time

You are given an integer hoursBefore, the number of hours you have to travel to your meeting. To arrive at your meeting, you have to travel through n roads. The road lengths are given as an integer array dist of length n, where dist[i] describes the length of the ith road in kilometers. In addition, you are given an integer speed, which is the speed (in km/h) you will travel at. After you travel road i, you must rest and wait for the next integer hour before you can begin traveling on the next road. Note that you do not have to rest after traveling the last road because you are already at the meeting. However, you are allowed to skip some rests to be able to arrive on time, meaning you do not need to wait for the next integer hour. Note that this means you may finish traveling future roads at different hour marks. Return the minimum number of skips required to arrive at the meeting on time, or -1 if it is impossible.

ArrayDynamic Programming

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Problem Breakdown

Understanding the Minimum Skips to Arrive at Meeting On Time Problem

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

Problem Statement

You are given an integer hoursBefore, the number of hours you have to travel to your meeting. To arrive at your meeting, you have to travel through n roads. The road lengths are given as an integer array dist of length n, where dist[i] describes the length of the ith road in kilometers. In addition, you are given an integer speed, which is the speed (in km/h) you will travel at. After you travel road i, you must rest and wait for the next integer hour before you can begin traveling on the next road. Note that you do not have to rest after traveling the last road because you are already at the meeting. However, you are allowed to skip some rests to be able to arrive on time, meaning you do not need to wait for the next integer hour. Note that this means you may finish traveling future roads at different hour marks. Return the minimum number of skips required to arrive at the meeting on time, or -1 if it is impossible.

HardProblem #1883
LeetCode

Minimum Skips to Arrive at Meeting On Time

Related Topics

ArrayDynamic Programming

How Phantom Code Helps

Get real-time assistance for Minimum Skips to Arrive at Meeting On Time problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input
dist = [1,3,2], speed = 4, hoursBefore = 2
Output
1

# Example 2

Input
dist = [7,3,5,5], speed = 2, hoursBefore = 10
Output
2

# Example 3

Input
dist = [7,3,5,5], speed = 1, hoursBefore = 10
Output
-1

Constraints

n == dist.length
1 <= n <= 1000
1 <= dist[i] <= 105
1 <= speed <= 106
1 <= hoursBefore <= 107

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Solve Minimum Skips to Arrive at Meeting On Time — You are given an integer hoursBefore, the number of hours you have to travel to ...

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 Skips to Arrive at Meeting On Time and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Minimum Skips to Arrive at Meeting On Time 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 Skips to Arrive at Meeting On Time?
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 Skips to Arrive at Meeting On Time?
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 Skips to Arrive at Meeting On Time 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 Skips to Arrive at Meeting On Time 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 Skips to Arrive at Meeting On Time 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 Skips to Arrive at Meeting On Time 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 Skips to Arrive at Meeting On Time 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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