We are playing the Guess Game. The game is as follows:

 

I pick a number from 1 to n. You have to guess which number I picked.

Every time you guess wrong, I'll tell you whether the number I picked is higher or lower.

However, when you guess a particular number x, and you guess wrong, you pay $x. You win the game when you guess the number I picked.

Example:

n = 10, I pick 8.First round:  You guess 5, I tell you that it's higher. You pay $5.Second round: You guess 7, I tell you that it's higher. You pay $7.Third round:  You guess 9, I tell you that it's lower. You pay $9.Game over. 8 is the number I picked.You end up paying $5 + $7 + $9 = $21.

Given a particular n ≥ 1, find out how much money you need to have to guarantee a win.

Hint:

1. The best strategy to play the game is to minimize the maximum loss you could possibly face. Another strategy is to minimize the expected loss. Here, we are interested in thefirst scenario.
2. Take a small example (n = 3). What do you end up paying in the worst case?
3. Check out  if you're still stuck.
4. The purely recursive implementation of minimax would be worthless for even a small n. You MUST use dynamic programming.
5. As a follow-up, how would you modify your code to solve the problem of minimizing the expected loss, instead of the worst-case loss?

Credits:

Special thanks to  and  for adding this problem and creating all test cases.

 的拓展，这题每猜一次要给一次和猜的数字相等的钱，求出最少多少钱可以保证猜出。

解法：根据提示，这道题需要用到。要用DP来做，需要建立一个二维的dp数组，其中dp[i][j]表示从数字i到j之间猜中任意一个数字最少需要花费的钱数。需要遍历每一段区间[j, i]，维护一个全局最小值global_min变量，然后遍历该区间中的每一个数字，计算局部最大值local_max = k + max(dp[j][k - 1], dp[k + 1][i])，然后更新全局最小值。

参考：

 

Python：

class Solution(object):    def getMoneyAmount(self, n):        """        :type n: int        :rtype: int        """        pay = [[0] * n for _ in xrange(n+1)]        for i in reversed(xrange(n)):            for j in xrange(i+1, n):                pay[i][j] = min(k+1 + max(pay[i][k-1], pay[k+1][j]) \                                for k in xrange(i, j+1))        return pay[0][n-1]

C++:　　

class Solution {public:    int getMoneyAmount(int n) {        vector
     
      
       > pay(n + 1, vector
       
        (n));        for (int i = n - 1; i >= 0; --i) {            for (int j = i + 1; j < n; ++j) {                pay[i][j] = numeric_limits
        
         ::max();                for (int k = i; k <= j; ++k) {                    pay[i][j] = min(pay[i][j], k + 1 + max(pay[i][k - 1], pay[k + 1][j]));                }            }        }        return pay[0][n - 1];    }};
        
       
      
     

　　 

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