题目链接：

思路：从终点向前递推。

首先p[I]表示从第i个点到终点的概率。则分为两种情况进行考虑。
【1】已经翻到的点则它必定会到终点，则概率为1.
【2】不知道的点则要进行枚举。那么p[i]=sum(p[i+j])/13(2=

为什么要逆推，因为从前往后走，要用到后面的状态。

哎，自己的dp好弱啊，一个暑假好像都没怎么做。。哎，加油啊！！！ 题目：

Card Trick

Time Limit: 2999/999MS (Java/Others) Memory Limit: 65432/65432KB (Java/Others)

Submit Status

I am learning magic tricks to impress my girlfriend Alice. My latest trick is a probabilistic one, i.e. it does work in most cases, but not in every case. To perform the trick, I first shuffle a set of many playing cards and put them all in one line with faces up on the table. Then Alice secretly selects one of the first ten cards (i.e. she chooses x0 , a secret number between 1 and 10 inclusive) and skips cards repeatedly as follows: after having selected a card at position xi with a number c(xi) on its face, she will select the card at position xi+1=xi+c(xi) . Jack (J), Queen (Q), and King (K) count as 10 , Ace (A) counts as 11 . You may assume that there are at least ten cards on the table.

Alice stops this procedure as soon as there is no card at position xi+c(xi) . I then perform the same procedure from a randomly selected starting position that may be different from the position selected by Alice. It turns out that often, I end up at the same position. Alice is very impressed by this trick.

However, I am more interested in the underlying math. Given my randomly selected starting position and the card faces of every selected card (including my final one), can you compute the probability that Alice chose a starting position ending up on the same final card? You may assume that her starting position is randomly chosen with uniform probability (between 1 and 10 inclusive). I forgot to note the cards that I skipped, so these cards are unknown. You may assume that the card face of every single of the unknown cards is independent of the other card faces and random with uniform probability out of the possible card faces (i.e. 2-10, J, Q, K, and A).

Illustration of first sample input: my starting position is 2 , so I start selecting that card. Then I keep skipping cards depending on the card's face. This process iterates until there are not enough cards to skip (in this sample: Q). The final Q card is followed by 0 to 9 unknown cards, since Q counts as 10 .

Input

For each test case:

• A line containing two integers n (1≤n≤100) and m ( 1≤m≤10 ) where n is the number of selected cards and m is the 1 -based position of my first selected card.
• A line with n tokens that specify the n selected card faces (in order, including the final card). Each card face is given either as an integer x ( 2≤x≤10 ) or as a single character (J, Q, K, or A as specified above).

  Output

  For each test case, print one line containing the probability that Alice chooses a starting position that leads to the same final card. Your output should have an absolute error of at most 10?7 .

  Sample input and output

  Sample Input	Sample Output
  5 2 2 3 5 3 Q 1 1 A 1 2 A 1 10 A 6 1 2 2 2 2 2 2 7 1 2 2 2 2 2 2 2 3 10 10 J K	0.4871377757023325348071573 0.1000000000000000000000000 0.1000000000000000000000000 0.1748923357025314239697490 0.5830713210321767445117468 0.6279229611115749556280350 0.3346565827603272001891974

  Source

  Northwestern European Regional Contest 2013

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  UESTC Online Judge

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