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How to Solve Minimum Time to Make Array Sum At Most x Problem
Master the Minimum Time to Make Array Sum At Most x LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsHard#2809
LeetCode ProblemMinimum Time to Make Array Sum At Most x
You are given two 0-indexed integer arrays nums1 and nums2 of equal length. Every second, for all indices 0 <= i < nums1.length, value of nums1[i] is incremented by nums2[i]. After this is done, you can do the following operation: You are also given an integer x. Return the minimum time in which you can make the sum of all elements of nums1 to be less than or equal to x, or -1 if this is not possible.
ArrayDynamic ProgrammingSorting
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Problem Breakdown
Understanding the Minimum Time to Make Array Sum At Most x Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given two 0-indexed integer arrays nums1 and nums2 of equal length. Every second, for all indices 0 <= i < nums1.length, value of nums1[i] is incremented by nums2[i]. After this is done, you can do the following operation: You are also given an integer x. Return the minimum time in which you can make the sum of all elements of nums1 to be less than or equal to x, or -1 if this is not possible.
HardProblem #2809
LeetCodeMinimum Time to Make Array Sum At Most x
Related Topics
ArrayDynamic ProgrammingSorting
How Phantom Code Helps
Get real-time assistance for Minimum Time to Make Array Sum At Most x problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums1 = [1,2,3], nums2 = [1,2,3], x = 4
Output
3
# Example 2
Input
nums1 = [1,2,3], nums2 = [3,3,3], x = 4
Output
-1
Constraints
1 <= nums1.length <= 103
1 <= nums1[i] <= 103
0 <= nums2[i] <= 103
nums1.length == nums2.length
0 <= x <= 106
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Solve Minimum Time to Make Array Sum At Most x — You are given two 0-indexed integer arrays nums1 and nums2 of equal length. Ever...
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 Time to Make Array Sum At Most x and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Time to Make Array Sum At Most x 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 Time to Make Array Sum At Most x?
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 Time to Make Array Sum At Most x?
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 Time to Make Array Sum At Most x 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 Time to Make Array Sum At Most x 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 Time to Make Array Sum At Most x 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 Time to Make Array Sum At Most x 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 Time to Make Array Sum At Most x 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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