This approach is based on the observation that a palindrome mirrors around its center. Therefore, if we choose a center, we can expand outward to check for the longest possible palindrome. We can have centers between each two characters as well as on each character to cater for even and odd length palindromes.
Time Complexity: O(n^2) because we potentially expand around n centers.
Space Complexity: O(1), aside from the space required for the output string.
1class Solution:
2 def longestPalindrome(self, s: str) -> str:
3 def expandAroundCenter(s, left, right):
4 while left >= 0 and right < len(s) and s[left] == s[right]:
5 left -= 1
6 right += 1
7 return right - left - 1
8
9 if not s:
10 return ""
11 start, end = 0, 0
12 for i in range(len(s)):
13 len1 = expandAroundCenter(s, i, i)
14 len2 = expandAroundCenter(s, i, i + 1)
15 length = max(len1, len2)
16 if length > end - start:
17 start = i - (length - 1) // 2
18 end = i + length // 2
19
20 return s[start:end + 1]In this solution expansion is carried around potential palindrome centers. Given each character index, both single and dual element centers are employed, working out the longest span, which aids in building the final palindromic portion of the string.
In this approach, a 2D DP table is constructed where dp[i][j] is true if the string s[i...j] is a palindrome. Each entry is dependent on smaller substring checks. This method leverages overlapping subproblems.
Time Complexity: O(n^2) due to the complete 2D table scan.
Space Complexity: O(n^2) as the DP table fully holds substring truths.
1function longestPalindrome(s) {
2 let n = s.length;
3 if (n === 0) return "";
4 let dp = Array.from(Array(n), () => Array(n).fill(false));
5 let start = 0;
6 let maxLength = 1;
7
8 for (let i = 0; i < n; i++) dp[i][i] = true;
9
10 for (let begin = n - 1; begin >= 0; begin--) {
11 for (let end = begin + 1; end < n; end++) {
12 if (s[begin] === s[end]) {
13 if (end - begin === 1 || dp[begin + 1][end - 1]) {
14 dp[begin][end] = true;
15 if (end - begin + 1 > maxLength) {
16 start = begin;
17 maxLength = end - begin + 1;
18 }
19 }
20 }
21 }
22 }
23 return s.substring(start, start + maxLength);
24}The JavaScript approach executes by deploying a 2D matrix to record palindromic potential. Here, characters corresponding with identical value alignment confirm pattern validity recursively updated upon through iteration.