Approach

We can use a dp matrix, where element dp[i][j] represents the minimum turn to print substring s[i...j].

Then, there are two cases:

case 1: We print s[i] separately, now we have dp[i][j] = 1 + dp[i + 1][j].
case 2: There is a char s[k] == s[i], then the string s[i...k] can be obtained by printing some new substrings on the range s[i...k], now we have dp[i][j] = dp[i][k-1]+dp[k+1][j]

Combining case 1 and case 2, we can now write the update formula for dynamic programming:

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dp[i][j] = 1 + dp[i + 1][j];
for (int k = i + 1; k <= j; ++k) {
    dp[i][j] = min(dp[i][j], dp[i][k-1] + dp[k+1][j]);
}

the base case is when i > j, d[pi][j] = 0 and when i=j, dp[i][j] = 1.

Complexity

$$O(n^3)$$
$$O(n^2)$$

Code

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class Solution {
public:
    int dfs(vector<vector<int>> &dp, int start, int end, const string &s) {
        if (start > end)    return 0;
        if (start == end)   return 1;
        if (dp[start][end] != -1)   return dp[start][end];

        int ans = 1 + dfs(dp, start + 1, end, s);
        for (int k = start + 1; k <= end; ++k) {
            if (s[k] != s[start])   continue;
            ans = min(ans, dfs(dp, start, k - 1, s) + dfs(dp, k + 1, end, s)); 
        }
        dp[start][end] = ans;
        return ans;
    }

    int strangePrinter(string s) {
        int n = s.size();
        vector<vector<int>> dp(n, vector<int>(n, -1));
        return dfs(dp, 0, n - 1, s);
    }
};

References

Leetcode 664

664. Strange Printer

Use minimum turn to print a strange string.

Approach

Complexity

Code

References