Given strings s1 and s2, return the minimum contiguous substring part of s1, so that s2 is a subsequence of the part.
If there is no such window in s1 that covers all characters in s2, return the empty string "". If there are multiple such minimum-length windows, return the one with the left-most starting index.
Example 1:
Input: s1 = "abcdebdde", s2 = "bde"
Output: "bcde"
Explanation:
"bcde" is the answer because it occurs before "bdde" which has the same length.
"deb" is not a smaller window because the elements of s2 in the window must occur in order.
We define \(f[i][j]\) to represent the starting position of the shortest substring of the first \(i\) characters of string \(\textit{s1}\) that contains the first \(j\) characters of string \(\textit{s2}\). If it does not exist, it is \(0\).
Next, we only need to traverse \(\textit{s1}\). If \(f[i][n] \gt 0\), update the starting position and length of the shortest substring. Finally, return the shortest substring.
The time complexity is \(O(m \times n)\), and the space complexity is \(O(m \times n)\). Here, \(m\) and \(n\) are the lengths of strings \(\textit{s1}\) and \(\textit{s2}\), respectively.