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How to Solve Maximum Number of Robots Within Budget Problem
Master the Maximum Number of Robots Within Budget LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemMaximum Number of Robots Within Budget
You have n robots. You are given two 0-indexed integer arrays, chargeTimes and runningCosts, both of length n. The ith robot costs chargeTimes[i] units to charge and costs runningCosts[i] units to run. You are also given an integer budget. The total cost of running k chosen robots is equal to max(chargeTimes) + k * sum(runningCosts), where max(chargeTimes) is the largest charge cost among the k robots and sum(runningCosts) is the sum of running costs among the k robots. Return the maximum number of consecutive robots you can run such that the total cost does not exceed budget.
ArrayBinary SearchQueueSliding WindowHeap (Priority Queue)Prefix SumMonotonic Queue
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Problem Breakdown
Understanding the Maximum Number of Robots Within Budget Problem
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Problem Statement
You have n robots. You are given two 0-indexed integer arrays, chargeTimes and runningCosts, both of length n. The ith robot costs chargeTimes[i] units to charge and costs runningCosts[i] units to run. You are also given an integer budget. The total cost of running k chosen robots is equal to max(chargeTimes) + k * sum(runningCosts), where max(chargeTimes) is the largest charge cost among the k robots and sum(runningCosts) is the sum of running costs among the k robots. Return the maximum number of consecutive robots you can run such that the total cost does not exceed budget.
HardProblem #2398
LeetCodeMaximum Number of Robots Within Budget
Related Topics
ArrayBinary SearchQueueSliding WindowHeap (Priority Queue)Prefix SumMonotonic Queue
How Phantom Code Helps
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Examples
# Example 1
Input
chargeTimes = [3,6,1,3,4], runningCosts = [2,1,3,4,5], budget = 25
Output
3
# Example 2
Input
chargeTimes = [11,12,19], runningCosts = [10,8,7], budget = 19
Output
0
Constraints
chargeTimes.length == runningCosts.length == n
1 <= n <= 5 * 104
1 <= chargeTimes[i], runningCosts[i] <= 105
1 <= budget <= 1015
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Solve Maximum Number of Robots Within Budget — You have n robots. You are given two 0-indexed integer arrays, chargeTimes and r...
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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 Maximum Number of Robots Within Budget and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximum Number of Robots Within Budget 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 Maximum Number of Robots Within Budget?
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 Maximum Number of Robots Within Budget?
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 Maximum Number of Robots Within Budget 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 Maximum Number of Robots Within Budget 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 Maximum Number of Robots Within Budget during live interviews?
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How does Phantom Code help when I'm struggling with Maximum Number of Robots Within Budget 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 Maximum Number of Robots Within Budget 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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