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Edit Distance Algorithm
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Dynamic Programming/Edit Distance.cpp
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87
Dynamic Programming/Edit Distance.cpp
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/* Given two strings str1 & str2
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* and below operations that can
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* be performed on str1. Find
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* minimum number of edits
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* (operations) required to convert
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* 'str1' into 'str2'/
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* a. Insert
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* b. Remove
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* c. Replace
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* All of the above operations are
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* of equal cost
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*/
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#include <iostream>
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#include <string>
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using namespace std;
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int min(int x, int y, int z){
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return min(min(x,y), z);
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}
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/* A Naive recursive C++ program to find
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* minimum number of operations to convert
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* str1 to str2.
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* O(3^m)
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*/
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int editDist(string str1, string str2, int m, int n) {
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if(m == 0) return n;
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if(n == 0) return m;
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//If last characters are same then continue
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//for the rest of them.
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if(str1[m-1] == str2[n-2])
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return editDist(str1, str2, m-1, n-1);
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//If last not same, then 3 possibilities
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//a.Insert b.Remove c. Replace
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//Get min of three and continue for rest.
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return 1 + min ( editDist(str1, str2, m, n-1),
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editDist(str1, str2, m-1, n),
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editDist(str1, str2, m-1, n-1)
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);
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}
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/* A DP based program
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* O(m x n)
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*/
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int editDistDP(string str1, string str2, int m, int n) {
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//Create Table for SubProblems
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int dp[m+1][n+1];
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//Fill d[][] in bottom up manner
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for(int i=0; i<=m; i++) {
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for(int j=0; j<=n; j++) {
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//If str1 empty. Then add all of str2
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if(i==0)
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dp[i][j] = j;
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//If str2 empty. Then add all of str1
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else if(j==0)
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dp[i][j] = i;
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//If character same. Recur for remaining
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else if(str1[i-1] == str2[j-1])
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dp[i][j] == dp[i-1][j-1];
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else
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dp[i][j] = 1 + min(dp[i][j-1],//Insert
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dp[i-1][j],//Remove
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dp[i-1][j-1]//Replace
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);
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}
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}
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return dp[m][n];
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}
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int main() {
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string str1 = "sunday";
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string str2 = "saturday";
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cout << editDist(str1, str1, str1.length(), str2.length()) << endl;
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cout << editDistDP(str1, str1, str1.length(), str2.length()) << endl;
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return 0;
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}
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