What is the optimal time complexity of solving Palindrome 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 Palindrome 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 Palindrome 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 Palindrome 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

Palindrome number

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

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Problem Statement

Easy

Write a function is_palindrome(n) that takes a non-negative integer n and returns True if n reads the same forwards and backwards, or False otherwise.

Constraints

•0 <= n <= 10^9

Examples

Example 1

Input

n = 121

Output

True

Explanation

121 reversed is 121, which is the same, so it is a palindrome.

Example 2

Input

n = 123

Output

False

Explanation

123 reversed is 321, which is different, so it is not a palindrome.

Example 3

Input

n = 0

Output

True

Explanation

0 reversed is 0, so it is a palindrome.

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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