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Create 375. Guess Number Higher or Lower II.md
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solutions/375. Guess Number Higher or Lower II.md
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# [375. Guess Number Higher or Lower II](https://leetcode.com/problems/guess-number-higher-or-lower-ii/)
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# 思路
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猜数游戏,若猜的x且猜错了则需要付出x元钱,问需要多少钱能保证猜对。即最坏情况下,至少需要花多少钱才能猜对。
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根据提示我们发现可以根据动态规划来做,而且是个区间dp,我们设
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```
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dp[i][j]为在[i, j]内做猜数游戏的话计算出的结果, 最后返回dp[1][n]
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```
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来考虑一下初始值,设想一下我们在[4,5]之间(那就只有4和5两个数了)做猜数游戏,最坏情况下至少需要花多少钱呢,很明显是4块钱,所以
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```
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初始值: dp[i][i+1] = i, dp[i][i] = 0
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```
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那么转移方程呢?先考虑一下如果在[i, j]内做猜数游戏,那么为了最后尽可能少花钱,那么我们第一次应该猜哪个数(设为k)呢?
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我们可以穷举k属于[i+1, j-1]来看k取何值时会让最终总花费最少,即计算dp[i][j]的转移方程为
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```
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for all k in [i+1, j-1]:
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dp[i][j] = min(dp[i][j], k + max(dp[i][k-1], dp[k+1][j]));
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```
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由上面转移方程看出,**我们应该反向枚举i而正向枚举j**。
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时间复杂度O(n^3), 空间复杂度O(n^2)。
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本题时间复杂度可优化至O(n^2),可参考[1](https://artofproblemsolving.com/community/c296841h1273742)和[2](https://leetcode.com/problems/guess-number-higher-or-lower-ii/discuss/84823/Java-O(n2)-DP-solution-with-clear-explanation)。
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亲测确实快一些,但是乍一看没怎么看懂,留个坑吧。
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# C++
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``` C++
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class Solution {
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public:
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int getMoneyAmount(int n) {
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vector<vector<int>>dp(n+1, vector<int>(n+1, INT_MAX));
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for(int i = n; i >= 1; i--){
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dp[i-1][i] = i-1; dp[i][i] = 0;
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for(int j = i+2; j <= n; j++)
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for(int k = i+1; k < j; k++)
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dp[i][j] = min(dp[i][j], k + max(dp[i][k-1], dp[k+1][j]));
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}
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return dp[1][n];
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}
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};
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```
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