How would you implement an algorithm to find the longest palindromic substring in a given string?

How would you implement an algorithm to find the longest palindromic substring in a given string?

How would you implement an algorithm to find the longest palindromic substring in a given string?

Approach

To effectively answer the question on implementing an algorithm to find the longest palindromic substring, follow this structured framework:

  1. Understand the Problem: Define what a palindrome is and clarify the requirements.

  2. Choose the Right Algorithm: Select an efficient algorithm based on time and space complexity.

  3. Explain Your Approach: Describe how you would implement the chosen algorithm step-by-step.

  4. Provide Edge Cases: Discuss how you would handle special cases and potential errors.

  5. Code Implementation: Write a clear and concise code example.

  6. Complexity Analysis: Analyze the time and space complexity of your solution.

Key Points

  • Clarity on the Definition: Ensure you clearly define a palindromic substring.

  • Algorithm Selection: Discuss popular algorithms like Dynamic Programming, Expand Around Center, or Manacher's Algorithm.

  • Communicate Effectively: Use technical terms appropriately while ensuring clarity for non-technical interviewers.

  • Demonstrate Problem-Solving Skills: Highlight your ability to approach problems methodically and logically.

Standard Response

Understanding the Problem:
A palindrome is a string that reads the same forwards and backwards. The goal is to find the longest substring within a given string that meets this criterion.

Choosing the Right Algorithm:
For this problem, I recommend using the Expand Around Center approach, which has a time complexity of O(n^2) and a space complexity of O(1). This method is efficient and straightforward to implement.

  • Iterate through the string: For each character, consider it as the center of a potential palindrome.

  • Expand from the center: Check for palindromes of both odd and even lengths by expanding outwards.

  • Update the longest palindrome found: Keep track of the start and end indices of the longest palindromic substring encountered.

Explaining the Approach:

  • If the input string is empty, return an empty string.

  • If the string consists of one character, return that character as it is a palindrome.

  • Handling Edge Cases:

Code Implementation:

Here's a Python implementation of the algorithm:

def longest_palindromic_substring(s: str) -> str:
 if len(s) == 0:
 return ""
 
 start, end = 0, 0
 
 for i in range(len(s)):
 len1 = expand_around_center(s, i, i) # Odd length
 len2 = expand_around_center(s, i, i + 1) # Even length
 max_len = max(len1, len2)
 
 if max_len > (end - start):
 start = i - (max_len - 1) // 2
 end = i + max_len // 2
 
 return s[start:end + 1]

def expand_around_center(s: str, left: int, right: int) -> int:
 while left >= 0 and right < len(s) and s[left] == s[right]:
 left -= 1
 right += 1
 return right - left - 1
  • Time Complexity: O(n^2) - Each character is considered as a potential center for palindromes, and in the worst case, we might check every character for every possible palindrome.

  • Space Complexity: O(1) - The algorithm only uses a constant amount of space.

  • Complexity Analysis:

Tips & Variations

  • Overcomplicating the Solution: Avoid using overly complex algorithms without justification.

  • Neglecting Edge Cases: Always consider empty strings or strings with a single character.

  • Common Mistakes to Avoid:

  • For a Dynamic Programming approach, explain how you would create a 2D array to store the palindrome status of substrings.

  • Alternative Ways to Answer:

  • Technical Roles: Emphasize algorithm efficiency and complexity analysis.

  • Managerial Roles: Focus on the team collaboration aspect in problem-solving.

  • Creative Roles: Discuss how algorithms can inspire creative solutions or optimizations.

  • Role-Specific Variations:

  • What other algorithms could be used to solve this problem?

  • How would you optimize your solution for very large strings?

  • Can you explain how this algorithm compares to others in terms of performance?

  • Follow-Up Questions:

By structuring your response in this way, you not only demonstrate your technical knowledge and problem-solving abilities but also your communication skills, making you a well-rounded candidate in the eyes of interviewers

Question Details

Difficulty
Medium
Medium
Type
Coding
Coding
Companies
Intel
IBM
Intel
IBM
Tags
Algorithm Design
Problem-Solving
Programming
Algorithm Design
Problem-Solving
Programming
Roles
Software Engineer
Data Scientist
Algorithm Engineer
Software Engineer
Data Scientist
Algorithm Engineer

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