Edit Distance
Implement minDistance
Given two lowercase words, find the fewest single-character edits — inserting, deleting, or swapping one character for another — needed to turn the first word into the second.
Every partial answer only depends on smaller versions of the same question: how many edits does it take to turn some prefix of word1 into some prefix of word2? Once the last pair of letters is decided — either they already agree and cost nothing, or one of the three edits has to cover the mismatch — what's left is exactly the same problem on shorter prefixes. Solving every prefix pair once, smallest first, and reading off three already-known neighbors for each new cell turns an otherwise exponential search into a single pass over a grid.
Example 1:
Input: word1 = "horse", word2 = "ros"
Output: 3
Example 2:
Input: word1 = "abc", word2 = "abc"
Output: 0
Example 3:
Input: word1 = "", word2 = "abc"
Output: 3
+ 7 hidden test cases run on Submit.
Constraints:
- ●
0 ≤ word1.length, word2.length ≤ 10 - ●
word1 and word2 consist of lowercase English letters
word1 =
horse
word2 =
ros