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How to Solve Maximum Bags With Full Capacity of Rocks Problem
Master the Maximum Bags With Full Capacity of Rocks LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#2279
LeetCode ProblemMaximum Bags With Full Capacity of Rocks
You have n bags numbered from 0 to n - 1. You are given two 0-indexed integer arrays capacity and rocks. The ith bag can hold a maximum of capacity[i] rocks and currently contains rocks[i] rocks. You are also given an integer additionalRocks, the number of additional rocks you can place in any of the bags. Return the maximum number of bags that could have full capacity after placing the additional rocks in some bags.
ArrayGreedySorting
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Problem Breakdown
Understanding the Maximum Bags With Full Capacity of Rocks Problem
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Problem Statement
You have n bags numbered from 0 to n - 1. You are given two 0-indexed integer arrays capacity and rocks. The ith bag can hold a maximum of capacity[i] rocks and currently contains rocks[i] rocks. You are also given an integer additionalRocks, the number of additional rocks you can place in any of the bags. Return the maximum number of bags that could have full capacity after placing the additional rocks in some bags.
MediumProblem #2279
LeetCodeMaximum Bags With Full Capacity of Rocks
Related Topics
ArrayGreedySorting
How Phantom Code Helps
Get real-time assistance for Maximum Bags With Full Capacity of Rocks problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
capacity = [2,3,4,5], rocks = [1,2,4,4], additionalRocks = 2
Output
3
# Example 2
Input
capacity = [10,2,2], rocks = [2,2,0], additionalRocks = 100
Output
3
Constraints
n == capacity.length == rocks.length
1 <= n <= 5 * 104
1 <= capacity[i] <= 109
0 <= rocks[i] <= capacity[i]
1 <= additionalRocks <= 109
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Solve Maximum Bags With Full Capacity of Rocks — You have n bags numbered from 0 to n - 1. You are given two 0-indexed integer ar...
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def solve(input):
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Time: O(n) | Space: O(n)
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Frequently Asked Questions
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How does Phantom Code help me solve coding problems like Maximum Bags With Full Capacity of Rocks 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 Bags With Full Capacity of Rocks?
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 Bags With Full Capacity of Rocks?
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 Bags With Full Capacity of Rocks 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 Bags With Full Capacity of Rocks 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 Bags With Full Capacity of Rocks during live interviews?
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How does Phantom Code help when I'm struggling with Maximum Bags With Full Capacity of Rocks 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 Bags With Full Capacity of Rocks 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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