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.
Related Topics:
Dynamic Programming, Minimax
Similar Questions:
- Flip Game II (Medium)
- Guess Number Higher or Lower (Easy)
- Can I Win (Medium)
- Find K Closest Elements (Medium)
Let dp[i][j] be the answer to the subproblem with number range [i, j].
dp[i][j] = min( k + max(dp[i][k-1], dp[k+1][j]) | i <= k <= j )
dp[i][j] = 0 where i >= j
// OJ: https://leetcode.com/problems/guess-number-higher-or-lower-ii/
// Author: github.com/lzl124631x
// Time: O(N^2)
// Space: O(N^2)
class Solution {
int solve(vector<vector<int>> &dp, int i, int j) {
if (i >= j) return 0;
if (dp[i][j]) return dp[i][j];
dp[i][j] = INT_MAX;
for (int k = i; k <= j; ++k) dp[i][j] = min(dp[i][j], k + max(solve(dp, i, k - 1), solve(dp, k + 1, j)));
return dp[i][j];
}
public:
int getMoneyAmount(int n) {
vector<vector<int>> dp(n + 1, vector<int>(n + 1));
return solve(dp, 1, n);
}
};// OJ: https://leetcode.com/problems/guess-number-higher-or-lower-ii/
// Author: github.com/lzl124631x
// Time: O(N^2)
// Space: O(N^2)
class Solution {
public:
int getMoneyAmount(int n) {
vector<vector<int>> dp(n + 1, vector<int>(n + 1));
for (int i = n - 1; i >= 1; --i) {
for (int j = i + 1; j <= n; ++j) {
dp[i][j] = INT_MAX;
for (int k = i; k <= j; ++k) {
dp[i][j] = min(dp[i][j], k + max(k == i ? 0 : dp[i][k - 1], k == j ? 0 : dp[k + 1][j]));
}
}
}
return dp[1][n];
}
};