Complete the code to initialize the minimum cuts array with the maximum possible cuts.
int n = s.size();
vector<int> cuts(n, [1]);We initialize the cuts array with the maximum cuts possible, which is n - 1 for a string of length n.
Complete the code to check if the substring s[j..i] is a palindrome using previously computed results.
if (s[j] == s[i] && (i - j < 2 || [1][j + 1][i - 1])) { // substring s[j..i] is palindrome }
The palindrome 2D array stores whether the substring s[j+1..i-1] is a palindrome.
Fix the error in updating the minimum cuts when a palindrome substring is found.
if (j == 0) { cuts[i] = 0; } else { cuts[i] = min(cuts[i], [1] + 1); }
We add 1 to the cuts needed before the palindrome substring, which is cuts[j - 1].
Fill both blanks to update the palindrome table and minimum cuts inside nested loops.
palindrome[j][i] = (s[j] == s[i]) && (i - j < 2 || [1][j + 1][i - 1]); if (palindrome[j][i]) { cuts[i] = (j == 0) ? 0 : min(cuts[i], [2] + 1); }
The palindrome table is updated using palindrome, and cuts are updated using cuts.
Fill all three blanks to complete the function that returns the minimum cuts needed for palindrome partitioning.
int minCut(string s) {
int n = s.size();
vector<int> cuts(n, [1]);
vector<vector<bool>> palindrome(n, vector<bool>(n, false));
for (int i = 0; i < n; i++) {
for (int j = 0; j <= i; j++) {
if (s[j] == s[i] && (i - j < 2 || palindrome[j + 1][i - 1])) {
palindrome[j][i] = true;
cuts[i] = (j == 0) ? 0 : min(cuts[i], cuts[j - 1] + [2]);
}
}
}
return [3];
}Initialize cuts with n - 1, add 1 when updating cuts, and return cuts[n - 1] as the final answer.
