README_EN.md

comments	difficulty	edit_url	tags
true	Medium	https://github.com/doocs/leetcode/edit/main/solution/0500-0599/0583.Delete%20Operation%20for%20Two%20Strings/README_EN.md	String Dynamic Programming

583. Delete Operation for Two Strings

中文文档

Description

Given two strings word1 and word2, return the minimum number of steps required to make word1 and word2 the same.

In one step, you can delete exactly one character in either string.

 

Example 1:

Input: word1 = "sea", word2 = "eat"
Output: 2
Explanation: You need one step to make "sea" to "ea" and another step to make "eat" to "ea".

Example 2:

Input: word1 = "leetcode", word2 = "etco"
Output: 4

 

Constraints:

• 1 <= word1.length, word2.length <= 500
• word1 and word2 consist of only lowercase English letters.

Solutions

Solution 1: Dynamic Programming

We define $f[i][j]$ as the minimum number of deletions required to make the first $i$ characters of the string $\textit{word1}$ and the first $j$ characters of the string $\textit{word2}$ the same. The answer is $f[m][n]$, where $m$ and $n$ are the lengths of the strings $\textit{word1}$ and $\textit{word2}$, respectively.

Initially, if $j = 0$, then $f[i][0] = i$; if $i = 0$, then $f[0][j] = j$.

When $i, j > 0$, if $\textit{word1}[i - 1] = \textit{word2}[j - 1]$, then $f[i][j] = f[i - 1][j - 1]$; otherwise, $f[i][j] = \min(f[i - 1][j], f[i][j - 1]) + 1$.

Finally, return $f[m][n]$.

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 the strings $\textit{word1}$ and $\textit{word2}$, respectively.

Python3

class Solution:
    def minDistance(self, word1: str, word2: str) -> int:
        m, n = len(word1), len(word2)
        f = [[0] * (n + 1) for _ in range(m + 1)]
        for i in range(1, m + 1):
            f[i][0] = i
        for j in range(1, n + 1):
            f[0][j] = j
        for i, a in enumerate(word1, 1):
            for j, b in enumerate(word2, 1):
                if a == b:
                    f[i][j] = f[i - 1][j - 1]
                else:
                    f[i][j] = min(f[i - 1][j], f[i][j - 1]) + 1
        return f[m][n]

Java

class Solution {
    public int minDistance(String word1, String word2) {
        int m = word1.length(), n = word2.length();
        int[][] f = new int[m + 1][n + 1];
        for (int i = 0; i <= m; ++i) {
            f[i][0] = i;
        }
        for (int j = 0; j <= n; ++j) {
            f[0][j] = j;
        }
        for (int i = 1; i <= m; ++i) {
            for (int j = 1; j <= n; ++j) {
                char a = word1.charAt(i - 1);
                char b = word2.charAt(j - 1);
                if (a == b) {
                    f[i][j] = f[i - 1][j - 1];
                } else {
                    f[i][j] = Math.min(f[i - 1][j], f[i][j - 1]) + 1;
                }
            }
        }
        return f[m][n];
    }
}

C++

class Solution {
public:
    int minDistance(string word1, string word2) {
        int m = word1.length(), n = word2.length();
        vector<vector<int>> f(m + 1, vector<int>(n + 1));
        for (int i = 0; i <= m; ++i) {
            f[i][0] = i;
        }
        for (int j = 0; j <= n; ++j) {
            f[0][j] = j;
        }
        for (int i = 1; i <= m; ++i) {
            for (int j = 1; j <= n; ++j) {
                char a = word1[i - 1];
                char b = word2[j - 1];
                if (a == b) {
                    f[i][j] = f[i - 1][j - 1];
                } else {
                    f[i][j] = min(f[i - 1][j], f[i][j - 1]) + 1;
                }
            }
        }
        return f[m][n];
    }
};

Go

func minDistance(word1 string, word2 string) int {
	m, n := len(word1), len(word2)
	f := make([][]int, m+1)
	for i := range f {
		f[i] = make([]int, n+1)
        f[i][0] = i
	}
	for j := 1; j <= n; j++ {
		f[0][j] = j
	}
	for i := 1; i <= m; i++ {
		for j := 1; j <= n; j++ {
			a, b := word1[i-1], word2[j-1]
			if a == b {
				f[i][j] = f[i-1][j-1]
			} else {
				f[i][j] = 1 + min(f[i-1][j], f[i][j-1])
			}
		}
	}
	return f[m][n]
}

TypeScript

function minDistance(word1: string, word2: string): number {
    const m = word1.length;
    const n = word2.length;
    const f: number[][] = Array.from({ length: m + 1 }, () => Array(n + 1).fill(0));
    for (let i = 1; i <= m; ++i) {
        f[i][0] = i;
    }
    for (let j = 1; j <= n; ++j) {
        f[0][j] = j;
    }
    for (let i = 1; i <= m; ++i) {
        for (let j = 1; j <= n; ++j) {
            if (word1[i - 1] === word2[j - 1]) {
                f[i][j] = f[i - 1][j - 1];
            } else {
                f[i][j] = Math.min(f[i - 1][j], f[i][j - 1]) + 1;
            }
        }
    }
    return f[m][n];
}

Rust

impl Solution {
    pub fn min_distance(word1: String, word2: String) -> i32 {
        let m = word1.len();
        let n = word2.len();
        let s: Vec<char> = word1.chars().collect();
        let t: Vec<char> = word2.chars().collect();
        let mut f = vec![vec![0; n + 1]; m + 1];

        for i in 0..=m {
            f[i][0] = i as i32;
        }
        for j in 0..=n {
            f[0][j] = j as i32;
        }

        for i in 1..=m {
            for j in 1..=n {
                let a = s[i - 1];
                let b = t[j - 1];
                if a == b {
                    f[i][j] = f[i - 1][j - 1];
                } else {
                    f[i][j] = std::cmp::min(f[i - 1][j], f[i][j - 1]) + 1;
                }
            }
        }
        f[m][n]
    }
}