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LeetCode
  • Overview
  • Mixed / Design
    • Two Sum (4 Qs)
      • 0001. Two Sum
      • 0167. Two Sum II - Input array is sorted
      • 0170. Two Sum III - Data structure design
      • 0653. Two Sum IV - Input is a BST
    • 0015. 3Sum
    • 0208. Implement Trie (Prefix Tree)
  • String
    • 0014. Longest Common Prefix
    • 0028. Implement strStr()
    • 0344. Reverse String
    • 0151. Reverse Words in a String
    • 0557. Reverse Words in a String III
    • 0067. Add Binary
    • 0415. Add Strings
    • 0038. Count and Say
    • 0394. Decode String
    • 0953. Verifying an Alien Dictionary
    • 0020. Valid Parentheses
  • Linked List
    • 0002. Add Two Numbers
    • 0445. Add Two Numbers II
    • 0021. Merge Two Sorted Lists
    • 0023. Merge k Sorted Lists
    • 0206. Reverse Linked List
    • 0019. Remove Nth Node From End of List
  • Tree
    • 0098. Validate BST
    • 0100. Same Tree
    • 0101. Symmetric Tree
    • 0226. Invert Binary Tree
    • 0110. Balanced Binary Tree
    • 0250. Count Univalue Subtrees
    • 0654. Maximum Binary Tree
    • Binary Tree Traversal (7 Qs)
      • 0144. Preorder Traversal
      • 0145. Postorder Traversal
      • 0094. Inorder Traversal
      • 0102. Level Order Traversal
      • 0104. Maximum Depth
      • 0111. Minimum Depth
      • 1302. Deepest Leaves Sum
      • 0993. Cousins in Binary Tree
    • N-ary Tree Traversal (4 Qs)
      • 0589. Preorder Traversal
      • 0590. Postorder Traversal
      • 0429. Level Order Traversal
      • 0559. Maximum Depth
    • Convert to BST (2 Qs)
      • 0108. Convert Sorted Array to Binary Search Tree
      • 0109. Convert Sorted List to Binary Search Tree
  • Binary Search
    • 0704. Binary Search
    • 0035. Search Insert Position
    • 0278. First Bad Version
    • 0367. Valid Perfect Square
    • 0069. Sqrt(x)
    • 0875. Koko Eating Bananas
    • 1011. Capacity To Ship Packages Within D Days
    • 0410. Split Array Largest Sum
    • 0004. Median of Two Sorted Arrays
  • Two Pointer
    • 0075. Sort Colors
    • 0088. Merge Sorted Array
    • 0283. Move Zeroes
    • 0125. Valid Palindrome
    • 0011. Container With Most Water
    • 0026. Remove Duplicates from Sorted Array
  • Sliding Window
    • 0003. Longest Substring Without Repeating Characters
  • Sorting
    • 0148. Sort List
    • 0912. Sort an Array
    • 0215. Kth Largest in Array
  • Dynamic Programming
    • 0509. Fibonacci Number
    • 1137. N-th Tribonacci Number
    • 0055. Jump Game
    • 0053. Maximum Subarray
    • 0022. Generate Parentheses
    • 0005. Longest Palindromic Substring
    • 0072. Edit Distance
    • Buy and Sell Stock (6 Qs)
      • 0122. Best Time to Buy and Sell Stock II
      • 0714. Best Time to Buy and Sell Stock with Transaction Fee
      • 0121. Best Time to Buy and Sell Stock
      • 0309. Best Time to Buy and Sell Stock with Cooldown
      • 0123. Best Time to Buy and Sell Stock III
      • 0188. Best Time to Buy and Sell Stock IV
  • DFS / BFS
    • 0200. Number of Islands
  • Math
    • 0007. Reverse Integer
    • 0009. Palindrome Number
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  1. Dynamic Programming

0072. Edit Distance

Hard | String + DP | 88 ms (98.31%), 16.6 MB (84.05%)

Previous0005. Longest Palindromic SubstringNextBuy and Sell Stock (6 Qs)

Last updated 3 years ago

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Source: GitHub:

Given two strings word1 and word2, return the minimum number of operations required to convert word1 to word2.

You have the following three operations permitted on a word:

  • Insert a character

  • Delete a character

  • Replace a character

Constraints:

  • 0 <= word1.length, word2.length <= 500

  • word1 and word2 consist of lowercase English letters.

Input: word1 = "horse", word2 = "ros"
Output: 3
Explanation: 
    horse -> rorse (replace 'h' with 'r')
    rorse -> rose (remove 'r')
    rose -> ros (remove 'e')

Input: word1 = "intention", word2 = "execution"
Output: 5
Explanation: 
    intention -> inention (remove 't')
    inention -> enention (replace 'i' with 'e')
    enention -> exention (replace 'n' with 'x')
    exention -> exection (replace 'n' with 'c')
    exection -> execution (insert 'u')

We simulate and figure out the cost of the following four operations:

  • Delete = 1 modification (Delete char in word1) Move to the next char in word1 to compare. So we take table[i-1][j]

  • Insert = 1 modification (Insert char to word1) Move to the next char in word2 to compare. So we take table[i][j-1]

  • Replace = 1 modification (Replace the char in word1) Move to the next char in both word1 and word2 to compare. So we take table[i-1][j-1]

  • Skip = 0 modification (Two chars are the same) Move to the next char in both word1 and word2 to compare. So we take table[i-1][j-1]

We create a 2D array and initialize values on table[i][0] and table[0][j]

Then iterate through each char by the nested for loops to find the minimum operations. i in range(1, len(word1) + 1) j in range(1, len(word2) + 1)

class Solution:
    def minDistance(self, word1: str, word2: str) -> int:
        # (base case)
        if not word1 and not word2: return 0
        if not word1 or not word2: return len(word1) + len(word2)

        # ==================================================
        #  String + Dynamic Programming                    =
        # ==================================================
        # time  : O(mn)
        # space : O(mn)
        
        table = [[0] * (len(word2) + 1) for _ in range(len(word1) + 1)]
        for i in range(len(word1) + 1): table[i][0] = i
        for j in range(len(word2) + 1): table[0][j] = j
        
        '''
        [[0, 1, 2, 3], 
         [1, 0, 0, 0], 
         [2, 0, 0, 0], 
         [3, 0, 0, 0], 
         [4, 0, 0, 0], 
         [5, 0, 0, 0]]
         '''
        
        for i in range(1, len(word1) + 1):
            for j in range(1, len(word2) + 1):
                if word1[i - 1] == word2[j - 1]: table[i][j] = table[i-1][j-1]
                else:
                    table[i][j] = 1 + min(table[i-1][j], table[i][j-1], table[i-1][j-1])
        
        return table[-1][-1]
class Solution {
    /**  
     * @time  : O(mn)
     * @space : O(mn)
     */
     
    String word1, word2;
    int n1, n2;
    int[][] table;
    
    public int minDistance(String word1, String word2) {
        /* base case */
        if(word1 == null && word2 == null) return 0;
        if(word1 == null || word2 == null) return word1.length() + word2.length();
        
        this.word1 = word1;
        this.word2 = word2;
        this.n1 = word1.length();
        this.n2 = word2.length();
            
        this.table = new int[word1.length()][word2.length()];
        for(int i=0 ; i<word1.length() ; i++) {
            Arrays.fill(this.table[i], -1);
        }
        
        return dp(0, 0);
    }
    
    public int dp(int index1, int index2) {
        if(index1 == this.n1) return this.n2 - index2;
        if(index2 == this.n2) return this.n1 - index1;
        
        if(this.table[index1][index2] != -1) return this.table[index1][index2];
        
        if(this.word1.charAt(index1) == this.word2.charAt(index2)) {
            this.table[index1][index2] = dp(index1 + 1, index2 + 1);
            
        } else {
            int insert  = 1 + dp(index1,     index2 + 1);
            int delete  = 1 + dp(index1 + 1, index2);
            int replace = 1 + dp(index1 + 1, index2 + 1);
            
            this.table[index1][index2] = Math.min(Math.min(insert, delete), replace);
        }
        
        return this.table[index1][index2];
    }
}
LeetCode - Edit Distance
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