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The Longest Palindromic Substring (LPS) algorithm is used to find the longest contiguous substring in a given string that reads the same forward and backward. This is an efficient solution with a time complexity of O(n²).
Key Steps:
2D DP Table: A 2D table is used to mark whether a substring is a palindrome.
Base Case: Single-character substrings are always palindromes.
Dynamic Update: For longer substrings, characters at both ends must match, and the inner substring must also be a palindrome.
Tracking: The algorithm keeps track of the longest palindrome found.
Complexity:
Time Complexity: O(n²)
Space Complexity: O(n²)
This algorithm is useful for text analysis and efficiently handles edge cases such as empty strings and single characters.
Description:
The Longest Palindromic Substring (LPS) algorithm is used to find the longest contiguous substring in a given string that reads the same forward and backward. This is an efficient solution with a time complexity of O(n²).
Key Steps:
Complexity:
This algorithm is useful for text analysis and efficiently handles edge cases such as empty strings and single characters.
Checklist:
Additional Information:
Longest Palindromic Substring (Dynamic Programming)
Overview:
This algorithm finds the longest contiguous palindromic substring within a given string using dynamic programming.
Key Steps: