把n个骰子扔在地上,所有骰子朝上一面的点数之和为s。输入n,打印出s的所有可能的值出现的概率。
你需要用一个浮点数数组返回答案,其中第 i 个元素代表这 n 个骰子所能掷出的点数集合中第 i 小的那个的概率。
示例 1:
输入: 1
输出: [0.16667,0.16667,0.16667,0.16667,0.16667,0.16667]
示例 2:
输入: 2
输出: [0.02778,0.05556,0.08333,0.11111,0.13889,0.16667,0.13889,0.11111,0.08333,0.05556,0.02778]
限制:
- 1 <= n <= 11
Python 解答:
1.暴力
class Solution:
def dicesProbability(self, n: int) -> List[float]:
digit = [1, 2, 3, 4, 5, 6]
nums = [0 for i in range(n, 6*n+1)]
def backtrace(digit, n, res, p):
if n == 0:
nonlocal nums
nums[res-p] += 1
return
for item in digit:
res += item
backtrace(digit, n-1, res, p)
res -= item
backtrace(digit, n, 0, n)
total = pow(6, n)
for i in range(len(nums)):
nums[i] /= total
return nums
2.动态规划
class Solution:
def dicesProbability(self, n: int) -> List[float]:
P = [1/6 for i in range(6)]
if n == 1:
return P
else:
k = 2
while k <= n:
newlist = [0 for i in range(6*k-k+1)]
for i in range(len(P)):
for j in range(6):
newlist[i+j] += P[i]/6
P = newlist
k += 1
return P
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