Delete Operation for Two Strings — LeetCode 583 Python Solution
- Problem
- #583
- Pattern
- Dynamic Programming
- Reading time
- 3 min
- Source
- leetcode.com
The problem
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
- 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".
Python solution
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]Complexity
| Measure | Complexity |
|---|---|
| Time | O(m \times n) |
| Space | O(m \times n) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 583. Delete Operation for Two Strings is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 583. Delete Operation for Two Strings?
- LeetCode 583. Delete Operation for Two Strings is rated Medium on LeetCode.
- What is the time complexity of LeetCode 583. Delete Operation for Two Strings?
- The Python solution on this page runs in O(m \times n).
- What is the space complexity of LeetCode 583. Delete Operation for Two Strings?
- The Python solution on this page uses O(m \times n) auxiliary space.
- What topics does LeetCode 583. Delete Operation for Two Strings cover?
- LeetCode 583. Delete Operation for Two Strings is tagged String and Dynamic Programming on LeetCode.