You can create a new string by selecting a substring from s (possibly empty) and a substring from t (possibly empty), then concatenating them in order.
Return the length of the longestpalindrome that can be formed this way.
Example 1:
Input:s = "a", t = "a"
Output:2
Explanation:
Concatenating "a" from s and "a" from t results in "aa", which is a palindrome of length 2.
Example 2:
Input:s = "abc", t = "def"
Output:1
Explanation:
Since all characters are different, the longest palindrome is any single character, so the answer is 1.
Example 3:
Input:s = "b", t = "aaaa"
Output: 4
Explanation:
Selecting "aaaa" from t is the longest palindrome, so the answer is 4.
Example 4:
Input:s = "abcde", t = "ecdba"
Output: 5
Explanation:
Concatenating "abc" from s and "ba" from t results in "abcba", which is a palindrome of length 5.
According to the problem description, the concatenated palindrome string can be composed entirely of string \(s\), entirely of string \(t\), or a combination of both strings \(s\) and \(t\). Additionally, there may be extra palindromic substrings in either string \(s\) or \(t\).
Therefore, we first reverse string \(t\) and preprocess arrays \(\textit{g1}\) and \(\textit{g2}\), where \(\textit{g1}[i]\) represents the length of the longest palindromic substring starting at index \(i\) in string \(s\), and \(\textit{g2}[i]\) represents the length of the longest palindromic substring starting at index \(i\) in string \(t\).
We can initialize the answer \(\textit{ans}\) as the maximum value in \(\textit{g1}\) and \(\textit{g2}\).
Next, we define \(\textit{f}[i][j]\) as the length of the palindromic substring ending at the \(i\)-th character of string \(s\) and the \(j\)-th character of string \(t\).
For \(\textit{f}[i][j]\), if \(s[i - 1]\) equals \(t[j - 1]\), then \(\textit{f}[i][j] = \textit{f}[i - 1][j - 1] + 1\). We then update the answer:
\[
\textit{ans} = \max(\textit{ans}, \textit{f}[i][j] \times 2 + (0 \text{ if } i \geq m \text{ else } \textit{g1}[i])) \\
\textit{ans} = \max(\textit{ans}, \textit{f}[i][j] \times 2 + (0 \text{ if } j \geq n \text{ else } \textit{g2}[j]))
\]
Finally, we return the answer \(\textit{ans}\).
The time complexity is \(O(m \times (m + n))\), and the space complexity is \(O(m \times n)\), where \(m\) and \(n\) are the lengths of strings \(s\) and \(t\), respectively.