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How to Solve Minimum Stability Factor of Array Problem
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LeetCode ProblemMinimum Stability Factor of Array
You are given an integer array nums and an integer maxC. A subarray is called stable if the highest common factor (HCF) of all its elements is greater than or equal to 2. The stability factor of an array is defined as the length of its longest stable subarray. You may modify at most maxC elements of the array to any integer. Return the minimum possible stability factor of the array after at most maxC modifications. If no stable subarray remains, return 0.
ArrayMathBinary SearchGreedySegment TreeNumber Theory
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Problem Breakdown
Understanding the Minimum Stability Factor of Array Problem
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Problem Statement
You are given an integer array nums and an integer maxC. A subarray is called stable if the highest common factor (HCF) of all its elements is greater than or equal to 2. The stability factor of an array is defined as the length of its longest stable subarray. You may modify at most maxC elements of the array to any integer. Return the minimum possible stability factor of the array after at most maxC modifications. If no stable subarray remains, return 0.
HardProblem #3605
LeetCodeMinimum Stability Factor of Array
Related Topics
ArrayMathBinary SearchGreedySegment TreeNumber Theory
How Phantom Code Helps
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Examples
# Example 1
Input
nums = [3,5,10], maxC = 1
Output
1
# Example 2
Input
nums = [2,6,8], maxC = 2
Output
1
# Example 3
Input
nums = [2,4,9,6], maxC = 1
Output
2
Constraints
1 <= n == nums.length <= 105
1 <= nums[i] <= 109
0 <= maxC <= n
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Solve Minimum Stability Factor of Array — You are given an integer array nums and an integer maxC. A subarray is called st...
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Frequently Asked Questions
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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.
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How does Phantom Code help when I'm struggling with Minimum Stability Factor of Array 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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