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Copy file name to clipboardExpand all lines: 10-October/06-Integer Break.md
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## 06. Integer Break
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The problem can be found at the following link: [Question Link](https://leetcode.com/problems/majority-element-ii/description/)
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The problem can be found at the following link: [Question Link](https://leetcode.com/problems/integer-break/description)
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### My Approach
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1. Initialize variables:
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-`n` to store the size of the input vector `nums`.
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- Create an unordered map `cnt` to store the count of occurrences of each element.
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- Initialize an empty vector `ans` to store the majority elements.
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2. Iterate through the `nums` vector using a for loop:
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-Use the `cnt` map to count the occurrences of each element in the `nums` vector.
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1. Check if `n` is equal to 2:
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-If `n` is 2, return 1. This is because the maximum product of two positive integers that sum up to 2 is 1 * 1.
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3. Iterate through the elements in the `cnt` map:
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- Check if the count (`j->second`) of an element is greater than one-third of the total elements (`n/3`).
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- If the count meets the condition, add the element (`j->first`) to the `ans` vector.
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2. Check if `n` is equal to 3:
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- If `n` is 3, return 2. This is because the maximum product of two positive integers that sum up to 3 is 1 * 2.
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3. Calculate the integer division `x` of `n` by 3:
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-`x = n / 3`
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4. Check if `n` is divisible by 3 (i.e., `n % 3 == 0`):
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- If `n` is divisible by 3, return the result of raising 3 to the power of `x` using the `pow` function. This is because you can split `n` into `x` equal parts, each of size 3, to maximize the product.
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5. Check if `(n - 1)` is divisible by 3 (i.e., `(n - 1) % 3 == 0`):
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- If `(n - 1)` is divisible by 3, return the result of raising 3 to the power of `x - 1` and multiplying it by 4. This is because you can split `n` into `x - 1` equal parts of size 3 and one part of size 4 to maximize the product.
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6. If none of the above conditions are met:
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- Return the result of raising 3 to the power of `x` and multiplying it by 2. This is because you can split `n` into `x` equal parts of size 3 and one part of size 2 to maximize the product.
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4. After both loops have finished, the `ans` vector will contain the majority elements (elements that appear more than one-third of the time) in the input vector `nums`.
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5. Return the `ans` vector as the result.
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### Time and Auxiliary Space Complexity
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-**Time Complexity**: `O(n)`
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-**Auxiliary Space Complexity**: `O(n)`
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-**Time Complexity**: `O(1)`
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-**Auxiliary Space Complexity**: `O(1)`
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