712. Minimum ASCII Delete Sum for Two Strings
leetcode medium
#array#csharp#dynamic-programming#leetcode#math#medium#string
Task
Если даны две строки s1 и s2, верните наименьшую ASCII-сумму удаленных символов, чтобы сделать две строки равными.
Пример:
Input: s1 = "sea", s2 = "eat"
Output: 231
C# solution
matched/originalpublic class Solution {
public int MinimumDeleteSum(string s1, string s2) {
int[][] dp = new int[s1.Length + 1][];
for (int i = 0; i < dp.Length; i++) {
dp[i] = new int[s2.Length + 1];
}
for (int i = 1; i <= s1.Length; i++) {
dp[i][0] = dp[i - 1][0] + s1[i - 1];
}
for (int j = 1; j <= s2.Length; j++) {
dp[0][j] = dp[0][j - 1] + s2[j - 1];
}
for (int i = 1; i <= s1.Length; i++) {
for (int j = 1; j <= s2.Length; j++) {
if (s1[i - 1] == s2[j - 1]) {
dp[i][j] = dp[i - 1][j - 1];
} else {
dp[i][j] = Math.Min(dp[i - 1][j] + s1[i - 1], dp[i][j - 1] + s2[j - 1]);
}
}
}
return dp[s1.Length][s2.Length];
}
}C++ solution
auto-draft, review before submit#include <bits/stdc++.h>
using namespace std;
// Auto-generated C++ draft from the C# solution. Review containers, LINQ and helper types before submit.
class Solution {
public:
public int MinimumDeleteSum(string s1, string s2) {
int[][] dp = new int[s1.size() + 1][];
for (int i = 0; i < dp.size(); i++) {
dp[i] = new int[s2.size() + 1];
}
for (int i = 1; i <= s1.size(); i++) {
dp[i][0] = dp[i - 1][0] + s1[i - 1];
}
for (int j = 1; j <= s2.size(); j++) {
dp[0][j] = dp[0][j - 1] + s2[j - 1];
}
for (int i = 1; i <= s1.size(); i++) {
for (int j = 1; j <= s2.size(); j++) {
if (s1[i - 1] == s2[j - 1]) {
dp[i][j] = dp[i - 1][j - 1];
} else {
dp[i][j] = min(dp[i - 1][j] + s1[i - 1], dp[i][j - 1] + s2[j - 1]);
}
}
}
return dp[s1.size()][s2.size()];
}
}Java solution
matched/originalpublic class Solution {
public int minimumDeleteSum(String s1, String s2) {
int[][] dp = new int[s1.length() + 1][s2.length() + 1];
for (int i = 1; i <= s1.length(); i++) {
dp[i][0] = dp[i - 1][0] + s1.charAt(i - 1);
}
for (int j = 1; j <= s2.length(); j++) {
dp[0][j] = dp[0][j - 1] + s2.charAt(j - 1);
}
for (int i = 1; i <= s1.length(); i++) {
for (int j = 1; j <= s2.length(); j++) {
if (s1.charAt(i - 1) == s2.charAt(j - 1)) {
dp[i][j] = dp[i - 1][j - 1];
} else {
dp[i][j] = Math.min(dp[i - 1][j] + s1.charAt(i - 1), dp[i][j - 1] + s2.charAt(j - 1));
}
}
}
return dp[s1.length()][s2.length()];
}
}JavaScript solution
matched/originalvar minimumDeleteSum = function(s1, s2) {
let dp = Array(s1.length + 1).fill(0).map(() => Array(s2.length + 1).fill(0));
for (let i = 1; i <= s1.length; i++) {
dp[i][0] = dp[i - 1][0] + s1.charCodeAt(i - 1);
}
for (let j = 1; j <= s2.length; j++) {
dp[0][j] = dp[0][j - 1] + s2.charCodeAt(j - 1);
}
for (let i = 1; i <= s1.length; i++) {
for (let j = 1; j <= s2.length; j++) {
if (s1[i - 1] === s2[j - 1]) {
dp[i][j] = dp[i - 1][j - 1];
} else {
dp[i][j] = Math.min(dp[i - 1][j] + s1.charCodeAt(i - 1), dp[i][j - 1] + s2.charCodeAt(j - 1));
}
}
}
return dp[s1.length][s2.length];
};Python solution
matched/originaldef minimumDeleteSum(s1, s2):
dp = [[0] * (len(s2) + 1) for _ in range(len(s1) + 1)]
for i in range(1, len(s1) + 1):
dp[i][0] = dp[i - 1][0] + ord(s1[i - 1])
for j in range(1, len(s2) + 1):
dp[0][j] = dp[0][j - 1] + ord(s2[j - 1])
for i in range(1, len(s1) + 1):
for j in range(1, len(s2) + 1):
if s1[i - 1] == s2[j - 1]:
dp[i][j] = dp[i - 1][j - 1]
else:
dp[i][j] = min(dp[i - 1][j] + ord(s1[i - 1]), dp[i][j - 1] + ord(s2[j - 1]))
return dp[-1][-1]Go solution
matched/originalpackage main
func minimumDeleteSum(s1 string, s2 string) int {
dp := make([][]int, len(s1) + 1)
for i := range dp {
dp[i] = make([]int, len(s2) + 1)
}
for i := 1; i <= len(s1); i++ {
dp[i][0] = dp[i - 1][0] + int(s1[i - 1])
}
for j := 1; j <= len(s2); j++ {
dp[0][j] = dp[0][j - 1] + int(s2[j - 1])
}
for i := 1; i <= len(s1); i++ {
for j := 1; j <= len(s2); j++ {
if s1[i - 1] == s2[j - 1] {
dp[i][j] = dp[i - 1][j - 1]
} else {
dp[i][j] = min(dp[i - 1][j] + int(s1[i - 1]), dp[i][j - 1] + int(s2[j - 1]))
}
}
}
return dp[len(s1)][len(s2)]
}
func min(a, b int) int {
if a < b {
return a
}
return b
}Explanation
Algorithm
Создайте двумерный массив dp размером (len(s1) + 1) x (len(s2) + 1), где dp[i][j] будет хранить наименьшую ASCII-сумму удаленных символов для первых i символов s1 и первых j символов s2.
Заполните первую строку и первый столбец массива dp суммами ASCII значений символов, которые необходимо удалить для достижения пустой строки.
Заполните оставшуюся часть массива dp следующим образом: Если символы s1[i-1] и s2[j-1] равны, dp[i][j] = dp[i-1][j-1]. Иначе, dp[i][j] = min(dp[i-1][j] + ord(s1[i-1]), dp[i][j-1] + ord(s2[j-1])).
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