LeetCode 0712. Minimum ASCII Delete Sum for Two Strings Solution in Java, C++, Python & More | Explanation + Code

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0712. Minimum ASCII Delete Sum for Two Strings

Description

Given two strings s1 and s2, return the lowest ASCII sum of deleted characters to make two strings equal.

 

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.

 

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:

$$ f[i][j]= \begin{cases} f[i-1][j-1], & s_1[i-1] = s_2[j-1] \ min(f[i-1][j] + s_1[i-1], f[i][j-1] + s_2[j-1]), & s_1[i-1] \neq s_2[j-1] \end{cases} $$

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 × n), and the space complexity is O(m × n). Where m and n are the lengths of s_1 and s_2 respectively.

Similar problems:

PythonJavaC++GoTypeScriptRustJavaScript
class Solution: def minimumDeleteSum(self, s1: str, s2: str) -> int: m, n = len(s1), len(s2) f = [[0] * (n + 1) for _ in range(m + 1)] for i in range(1, m + 1): f[i][0] = f[i - 1][0] + ord(s1[i - 1]) for j in range(1, n + 1): f[0][j] = f[0][j - 1] + ord(s2[j - 1]) for i in range(1, m + 1): for j in range(1, n + 1): if s1[i - 1] == s2[j - 1]: f[i][j] = f[i - 1][j - 1] else: f[i][j] = min( f[i - 1][j] + ord(s1[i - 1]), f[i][j - 1] + ord(s2[j - 1]) ) return f[m][n](code-box)

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