What is the optimal time complexity of solving Factor of a number?

The optimized solution achieves a time complexity of O(n) by using sorting, mathematical shortcuts, or hash table lookups.

What is the auxiliary space complexity for Factor of a number?

The space complexity is O(1) since we only use a minimal/constant amount of extra memory for tracking variables (or auxiliary space if dynamic structures are allocated).

What are the typical edge cases we must handle in Factor of a number?

Key edge cases include empty collections, negative or large bounds causing integer overflow, arrays with only one element, or inputs where target criteria are not met.

How can we optimize the brute force approach for Factor of a number?

Brute force methods often inspect all possible combinations. We optimize this by sorting the input list to enable binary search, or tracking processed items in a set to avoid redundant nested loop lookups.

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Python BasicsEasy

Factor of a number

Learn how to solve the 'Factor of a number' problem. This detailed resource details brute force and optimized approaches.

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Problem Statement

Easy

Write a function find_factors(n) that takes a positive integer n and returns a list of all factors (divisors) of n in ascending order. A factor of n is any positive integer that divides n without leaving a remainder.

Constraints

•1 <= n <= 10^6

Examples

Example 1

Input

n = 12

Output

[1, 2, 3, 4, 6, 12]

Explanation

12 is divisible by 1, 2, 3, 4, 6, and 12.

Example 2

Input

n = 7

Output

[1, 7]

Explanation

7 is prime, so its only factors are 1 and 7.

Example 3

Input

n = 1

Output

[1]

Explanation

The only factor of 1 is 1 itself.

Need a Hint?

Use simple arithmetic operators (like modulo `%`, division `//`), conditional checks, or loops to inspect number properties.

Edge Cases to Watch

Empty list or null input variables
Single item lists/arrays
Extremely large input bounds causing integer or stack overflow

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