Given two strings s1 andΒ s2, return the lowest ASCII sum of deleted characters to make two strings equal.
Β
Example 1:
Input: s1 = "sea", s2 = "eat"
Output: 231
Explanation: Deleting "s" from "sea" adds the ASCII value of "s" (115) to the sum.
Deleting "t" from "eat" adds 116 to the sum.
At the end, both strings are equal, and 115 + 116 = 231 is the minimum sum possible to achieve this.
Example 2:
Input: s1 = "delete", s2 = "leet"
Output: 403
Explanation: Deleting "dee" from "delete" to turn the string into "let",
adds 100[d] + 101[e] + 101[e] to the sum.
Deleting "e" from "leet" adds 101[e] to the sum.
At the end, both strings are equal to "let", and the answer is 100+101+101+101 = 403.
If instead we turned both strings into "lee" or "eet", we would get answers of 433 or 417, which are higher.
Β
Constraints:
1 <= s1.length, s2.length <= 1000
s1 and s2 consist of lowercase English letters.
Solutions
Solution 1: Dynamic Programming
We define \(f[i][j]\) as the minimum sum of ASCII values of deleted characters required to make the first \(i\) characters of \(s_1\) equal to the first \(j\) characters of \(s_2\). The answer is \(f[m][n]\).
If \(s_1[i-1] = s_2[j-1]\), then \(f[i][j] = f[i-1][j-1]\). Otherwise, we can delete either \(s_1[i-1]\) or \(s_2[j-1]\) to minimize \(f[i][j]\). Therefore, the state transition equation is as follows:
The initial state is \(f[0][j] = f[0][j-1] + s_2[j-1]\), \(f[i][0] = f[i-1][0] + s_1[i-1]\).
Finally, return \(f[m][n]\).
The time complexity is \(O(m \times n)\), and the space complexity is \(O(m \times n)\). Where \(m\) and \(n\) are the lengths of \(s_1\) and \(s_2\) respectively.