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How to Solve Maximum Profit in Job Scheduling Problem
Master the Maximum Profit in Job Scheduling LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemMaximum Profit in Job Scheduling
We have n jobs, where every job is scheduled to be done from startTime[i] to endTime[i], obtaining a profit of profit[i]. You're given the startTime, endTime and profit arrays, return the maximum profit you can take such that there are no two jobs in the subset with overlapping time range. If you choose a job that ends at time X you will be able to start another job that starts at time X.
ArrayBinary SearchDynamic ProgrammingSorting
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Problem Breakdown
Understanding the Maximum Profit in Job Scheduling Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
We have n jobs, where every job is scheduled to be done from startTime[i] to endTime[i], obtaining a profit of profit[i]. You're given the startTime, endTime and profit arrays, return the maximum profit you can take such that there are no two jobs in the subset with overlapping time range. If you choose a job that ends at time X you will be able to start another job that starts at time X.
HardProblem #1235
LeetCodeMaximum Profit in Job Scheduling
Related Topics
ArrayBinary SearchDynamic ProgrammingSorting
How Phantom Code AI Helps
Get real-time assistance for Maximum Profit in Job Scheduling problems during coding interviews. Phantom Code AI provides instant solutions and explanations.
Examples
# Example 1
Input
startTime = [1,2,3,3], endTime = [3,4,5,6], profit = [50,10,40,70]
Output
120
# Example 2
Input
startTime = [1,2,3,4,6], endTime = [3,5,10,6,9], profit = [20,20,100,70,60]
Output
150
# Example 3
Input
startTime = [1,1,1], endTime = [2,3,4], profit = [5,6,4]
Output
6
Constraints
1 <= startTime.length == endTime.length == profit.length <= 5 * 104
1 <= startTime[i] < endTime[i] <= 109
1 <= profit[i] <= 104
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Solve Maximum Profit in Job Scheduling — We have n jobs, where every job is scheduled to be done from startTime[i] to end...
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 Maximum Profit in Job Scheduling and using Phantom Code AI during coding interviews.
How does Phantom Code AI help me solve coding problems like Maximum Profit in Job Scheduling during interviews?
Phantom Code AI 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 Maximum Profit in Job Scheduling?
Phantom Code AI 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 AI help me communicate my solution for problems like Maximum Profit in Job Scheduling?
Yes. Phantom Code AI 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 AI assist with different programming languages for Maximum Profit in Job Scheduling type problems?
Phantom Code AI 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 AI help me avoid during Maximum Profit in Job Scheduling interviews?
Phantom Code AI 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 AI detectable when solving problems like Maximum Profit in Job Scheduling during live interviews?
No. Phantom Code AI 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 AI help when I'm struggling with Maximum Profit in Job Scheduling 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 AI work for the coding platforms used in Maximum Profit in Job Scheduling interviews?
Yes. Phantom Code AI works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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