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How to Solve Minimum Non-Zero Product of the Array Elements Problem
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Medium#1969
LeetCode ProblemMinimum Non-Zero Product of the Array Elements
You are given a positive integer p. Consider an array nums (1-indexed) that consists of the integers in the inclusive range [1, 2p - 1] in their binary representations. You are allowed to do the following operation any number of times: For example, if x = 1101 and y = 0011, after swapping the 2nd bit from the right, we have x = 1111 and y = 0001. Find the minimum non-zero product of nums after performing the above operation any number of times. Return this product modulo 109 + 7. Note: The answer should be the minimum product before the modulo operation is done.
MathGreedyRecursion
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Problem Breakdown
Understanding the Minimum Non-Zero Product of the Array Elements Problem
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Problem Statement
You are given a positive integer p. Consider an array nums (1-indexed) that consists of the integers in the inclusive range [1, 2p - 1] in their binary representations. You are allowed to do the following operation any number of times: For example, if x = 1101 and y = 0011, after swapping the 2nd bit from the right, we have x = 1111 and y = 0001. Find the minimum non-zero product of nums after performing the above operation any number of times. Return this product modulo 109 + 7. Note: The answer should be the minimum product before the modulo operation is done.
MediumProblem #1969
LeetCodeMinimum Non-Zero Product of the Array Elements
Related Topics
MathGreedyRecursion
How Phantom Code AI Helps
Get real-time assistance for Minimum Non-Zero Product of the Array Elements problems during coding interviews. Phantom Code AI provides instant solutions and explanations.
Examples
# Example 1
Input
p = 1
Output
1
# Example 2
Input
p = 2
Output
6
# Example 3
Input
p = 3
Output
1512
Constraints
1 <= p <= 60
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Solve Minimum Non-Zero Product of the Array Elements — You are given a positive integer p. Consider an array nums (1-indexed) that cons...
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Frequently Asked Questions
Common questions about solving Minimum Non-Zero Product of the Array Elements and using Phantom Code AI during coding interviews.
How does Phantom Code AI help me solve coding problems like Minimum Non-Zero Product of the Array Elements 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 Minimum Non-Zero Product of the Array Elements?
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 Minimum Non-Zero Product of the Array Elements?
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 Minimum Non-Zero Product of the Array Elements 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 Minimum Non-Zero Product of the Array Elements 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.
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How does Phantom Code AI help when I'm struggling with Minimum Non-Zero Product of the Array Elements 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.
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