The time complexity for this function will be O(n*3), as the complexity to find all possible strings is O(n*2) and the one to check if it's a palindrome is O(n). This results in O(n2*n)= O(n3).
Is there a better, more efficient method to solve this problem?
Of course! There are many solutions to a problem if we'll look hard enough for them. We will share another solution with you that will use the dynamic programming technique to find the longest palindromic substring.
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def longestPalindromicString(string: str) -> str: if len(string) < 2: return string​ if len(string) == 2: if string == string[::-1]: return string return string[0]​ output = "" for i in range(len(string)): for j in range(len(string) - 1, i, -1): if string[i : j + 1] == string[i : j + 1][::-1]: if len(output) < len(string[i : j + 1]): output = string[i : j + 1]​ if not output: return string[1]​ return outputOUTPUT
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