In order to find the minimal number of insertions required to convert a given string(s) to palindrome I find the longest common subsequence of the string(lcs_string) and its
To elaborate on VenomFangs answer, there is a simple dynamic programming solution to this one. Note that I'm assuming the only operation allowed here is insertion of characters (no deletion, updates). Let S be a string of n characters. The simple recursion function P for this is:
= P [i+1 .. j-1], if S[i] = S[j]
P[i..j]
= min (P[i..j-1], P[i+1..j]) + 1,
If you'd like more explanation on why this is true, post a comment and i'd be happy to explain (though its pretty easy to see with a little thought). This, by the way, is the exact opposite of the LCS function you use, hence validating that your solution is in fact optimal. Of course its wholly possible I bungled, if so, someone do let me know!
Edit: To account for the palindrome itself, this can be easily done as follows: As stated above, P[1..n] would give you the number of insertions required to make this string a palindrome. Once the above two-dimensional array is built up, here's how you find the palindrome:
Start with i=1, j=n. Now, string output = "";
while(i < j)
{
if (P[i][j] == P[i+1][j-1]) //this happens if no insertions were made at this point
{
output = output + S[i];
i++;
j--;
}
else
if (P[i][j] == P[i+1][j]) //
{
output = output + S[i];
i++;
}
else
{
output = S[j] + output;
j--;
}
}
cout<
Does that make better reading?