[英][Python]what's wrong with my recursions?
I want to performe 我想表演
[√(1/2+1/2*√1/2)] ---------(P1)
[√(1/2+1/2*√(P1)] ----------(P2)
[√(1/2+1/2*√(P2)]
etc.
to find out the P(nth)term 找出P(nth)项
I have this for now 我现在有这个
from math import *
n=eval(input('fjeowijo'))
i=sqrt(1/2+1/2*(sqrt(1/2)))
def P(n):
for i in range(n):
g=sqrt(1/2+1/2*i)
i=sqrt(1/2+1/2*i)
print(g)
P(n)
When I enter 1 for n, the result is 0.7071067811865476, which is only equal to the part " sqrt(1/2) ". 当我为n输入1时,结果为0.7071067811865476,仅等于部分“ sqrt(1/2)”。 Why? 为什么?
def P(n):
i = 0
g = sqrt(0.5+.5*sqrt(0.5)
while(i < n):
g = sqrt(0.5+0.5*g)
print(g)
Could it be what you're looking for ? 可能是您要找的东西吗?
In case you want to make it recursive do 如果您想使其递归
def P(n):
if n <= 0:
return 0.5
else:
return sqrt(0.5*(1+sqrt(P(n-1))))
which works out as 算出来
>>> P(1)
0.9238795325112867
>>> P(2)
0.9902490907008235
>>> P(3)
0.9987774031336784
>>> P(4)
0.9998471169658009
As @JoshRomRock points out, python generally limits the maximum depth of the recursion (the default max depth is platform-dependent). 正如@JoshRomRock指出的那样,python通常会限制递归的最大深度(默认的最大深度取决于平台)。 In case of CPython, the default limit is 1000. 对于CPython,默认限制为1000。
In case you want to alter such limit do: 如果您想更改此限制,请执行以下操作:
import sys
sys.setrecursionlimit(5000)
Note: in this case, the precision offered by the floating point representation may well be the biggest hurdle to the calculation. 注意:在这种情况下,浮点表示形式提供的精度可能是计算的最大障碍。 Please see the official docs for further info on what to expect using floats. 请参阅官方文档,以获取有关使用浮点数的更多信息。
Second note: in case the P
function is going to be used several times and/or in multiple points of the code of a program, as a library function, it would make sense to implement it using Memoization . 第二个注意事项:如果P
函数要多次使用和/或在程序代码的多个点使用, 则应将其作为库函数使用Memoization实现。 Please see here for a few examples in python. 请在此处查看python中的一些示例。
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