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How to Solve Minimum Cost For Tickets Problem
Master the Minimum Cost For Tickets LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#983
LeetCode ProblemMinimum Cost For Tickets
You have planned some train traveling one year in advance. The days of the year in which you will travel are given as an integer array days. Each day is an integer from 1 to 365. Train tickets are sold in three different ways: The passes allow that many days of consecutive travel. Return the minimum number of dollars you need to travel every day in the given list of days.
ArrayDynamic Programming
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Problem Breakdown
Understanding the Minimum Cost For Tickets Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You have planned some train traveling one year in advance. The days of the year in which you will travel are given as an integer array days. Each day is an integer from 1 to 365. Train tickets are sold in three different ways: The passes allow that many days of consecutive travel. Return the minimum number of dollars you need to travel every day in the given list of days.
MediumProblem #983
LeetCodeMinimum Cost For Tickets
Related Topics
ArrayDynamic Programming
How Phantom Code Helps
Get real-time assistance for Minimum Cost For Tickets problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
days = [1,4,6,7,8,20], costs = [2,7,15]
Output
11
# Example 2
Input
days = [1,2,3,4,5,6,7,8,9,10,30,31], costs = [2,7,15]
Output
17
Constraints
1 <= days.length <= 365
1 <= days[i] <= 365
days is in strictly increasing order.
costs.length == 3
1 <= costs[i] <= 1000
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Solve Minimum Cost For Tickets — You have planned some train traveling one year in advance. The days of the year ...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
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Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Minimum Cost For Tickets and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Cost For Tickets 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 Cost For Tickets?
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 Cost For Tickets?
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 Cost For Tickets 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 Cost For Tickets 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 Cost For Tickets 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 Cost For Tickets 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 Cost For Tickets 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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