diff --git "a/problems/0115.\344\270\215\345\220\214\347\232\204\345\255\220\345\272\217\345\210\227.md" "b/problems/0115.\344\270\215\345\220\214\347\232\204\345\255\220\345\272\217\345\210\227.md"
index d925c5dede..0d2477bdf4 100644
--- "a/problems/0115.\344\270\215\345\220\214\347\232\204\345\255\220\345\272\217\345\210\227.md"
+++ "b/problems/0115.\344\270\215\345\220\214\347\232\204\345\255\220\345\272\217\345\210\227.md"
@@ -314,6 +314,63 @@ function numDistinct(s: string, t: string): number {
 };
 ```
 
+### Rust:
+
+```rust
+impl Solution {
+    pub fn num_distinct(s: String, t: String) -> i32 {
+        if s.len() < t.len() {
+            return 0;
+        }
+        let mut dp = vec![vec![0; s.len() + 1]; t.len() + 1];
+        // i = 0, t 为空字符串，s 作为子序列的个数为 1（删除 s 所有元素）
+        dp[0] = vec![1; s.len() + 1];
+        for (i, char_t) in t.chars().enumerate() {
+            for (j, char_s) in s.chars().enumerate() {
+                if char_t == char_s {
+                    // t 的前 i 个字符在 s 的前 j 个字符中作为子序列的个数
+                    dp[i + 1][j + 1] = dp[i][j] + dp[i + 1][j];
+                    continue;
+                }
+                dp[i + 1][j + 1] = dp[i + 1][j];
+            }
+        }
+        dp[t.len()][s.len()]
+    }
+}
+```
+
+> 滚动数组
+
+```rust
+impl Solution {
+    pub fn num_distinct(s: String, t: String) -> i32 {
+        if s.len() < t.len() {
+            return 0;
+        }
+        let (s, t) = (s.into_bytes(), t.into_bytes());
+        // 对于 t 为空字符串，s 作为子序列的个数为 1（删除 s 所有元素）
+        let mut dp = vec![1; s.len() + 1];
+        for char_t in t {
+            // dp[i - 1][j - 1]，dp[j + 1] 更新之前的值
+            let mut pre = dp[0];
+            // 当开始遍历 t，s 的前 0 个字符无法包含任意子序列
+            dp[0] = 0;
+            for (j, &char_s) in s.iter().enumerate() {
+                let temp = dp[j + 1];
+                if char_t == char_s {
+                    dp[j + 1] = pre + dp[j];
+                } else {
+                    dp[j + 1] = dp[j];
+                }
+                pre = temp;
+            }
+        }
+        dp[s.len()]
+    }
+}
+```
+
 
 <p align="center">
 <a href="https://programmercarl.com/other/kstar.html" target="_blank">
diff --git "a/problems/0583.\344\270\244\344\270\252\345\255\227\347\254\246\344\270\262\347\232\204\345\210\240\351\231\244\346\223\215\344\275\234.md" "b/problems/0583.\344\270\244\344\270\252\345\255\227\347\254\246\344\270\262\347\232\204\345\210\240\351\231\244\346\223\215\344\275\234.md"
index 505a4e33ee..7dbb8ef542 100644
--- "a/problems/0583.\344\270\244\344\270\252\345\255\227\347\254\246\344\270\262\347\232\204\345\210\240\351\231\244\346\223\215\344\275\234.md"
+++ "b/problems/0583.\344\270\244\344\270\252\345\255\227\347\254\246\344\270\262\347\232\204\345\210\240\351\231\244\346\223\215\344\275\234.md"
@@ -370,7 +370,51 @@ function minDistance(word1: string, word2: string): number {
 };
 ```
 
+Rust:
+
+```rust
+impl Solution {
+    pub fn min_distance(word1: String, word2: String) -> i32 {
+        let mut dp = vec![vec![0; word2.len() + 1]; word1.len() + 1];
+        for i in 0..word1.len() {
+            dp[i + 1][0] = i + 1;
+        }
+        for j in 0..word2.len() {
+            dp[0][j + 1] = j + 1;
+        }
+        for (i, char1) in word1.chars().enumerate() {
+            for (j, char2) in word2.chars().enumerate() {
+                if char1 == char2 {
+                    dp[i + 1][j + 1] = dp[i][j];
+                    continue;
+                }
+                dp[i + 1][j + 1] = dp[i][j + 1].min(dp[i + 1][j]) + 1;
+            }
+        }
+        dp[word1.len()][word2.len()] as i32
+    }
+}
+```
 
+> 版本 2
+
+```rust
+impl Solution {
+    pub fn min_distance(word1: String, word2: String) -> i32 {
+        let mut dp = vec![vec![0; word2.len() + 1]; word1.len() + 1];
+        for (i, char1) in word1.chars().enumerate() {
+            for (j, char2) in word2.chars().enumerate() {
+                if char1 == char2 {
+                    dp[i + 1][j + 1] = dp[i][j] + 1;
+                    continue;
+                }
+                dp[i + 1][j + 1] = dp[i][j + 1].max(dp[i + 1][j]);
+            }
+        }
+        (word1.len() + word2.len() - 2 * dp[word1.len()][word2.len()]) as i32
+    }
+}
+```
 
 
 <p align="center">