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Given a string s, partition s such that every substring of the partition is a palindrome.
Return the minimum cuts needed for a palindrome partitioning of s.
For example, given s =
Return
» Solve this problem"aab"
,Return
1
since the palindrome partitioning ["aa","b"]
could be produced using 1 cut.
刚开始还是用的回溯,和I一样,这样可以做,但是会超时在跑大数据的时候。然后参考了“水中的鱼”的博客,用的DP。并且他总结,一般求最优的时候,都是用dp,不过要自己设计dp函数和情况,这道题靠裸想还是有些难度的,如果对dp不熟悉的话。
首先要定义一个函数D[i]=min(D[i], D[j+1]+1). 假如此时 P[i][j]是一个palindrome。记得要初始化,相当于就有两个指针,i, j,i从s.size()处开始,j从i开始往s.size()处数,这样最后D[0]-1的值就是最小的cut 数。
所以这个时候我们还要定义一个P[i][j]=true if S[i]==S[j]&&(j-i<2 || P[i+1][j-1])
记得初始化!
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