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Python 带有迭代的inf和nan值_Python - Fatal编程技术网

Python 带有迭代的inf和nan值

Python 带有迭代的inf和nan值,python,Python,之前的代码中有Rs值 from numpy import exp as e Ri = 9 Rr = 19/2 Rs = 10 i = 0 Er = 0 Rra = 0 x = 1 def F(n): return 745*(1-e(-x/10))-49*x #函数准计算误差相对论 def错误(Rra、Rrn): Erel=abs((Rrn-Rra)/Rrn)*100 回程鱼 print ('{:^15}{:^15}{:^15}{:^15}{:^15}{:^15}'.format('#

之前的代码中有Rs值

from numpy import exp as e
Ri = 9
Rr = 19/2
Rs = 10
i = 0
Er = 0
Rra = 0
x = 1

def F(n):
    return 745*(1-e(-x/10))-49*x
#函数准计算误差相对论 def错误(Rra、Rrn): Erel=abs((Rrn-Rra)/Rrn)*100 回程鱼

print ('{:^15}{:^15}{:^15}{:^15}{:^15}{:^15}'.format('# iter','Ri','Rs','Rr','F(Ri)','Erel(%)'))
      
while (i < 10):
    Er = error(Rra,Rr)
    Rra = Rr `#Rra sera el Rr anterior para determinar el error relativo`
    if F(Ri).all() * F(Rr).all() < 0:
        Rs = Rr
    elif F(Ri).all() * F(Rr).all() > 0:
        Ri = Rr
    elif F(Rr) == 0:
        print('La raiz es',Rr)

    Rr = (Ri + Rs) / 2
    i = i + 1

    #Condicional para el primer error relativo

    if i == 1:
             print ('{:^15}{:^15.6f}{:^15.6f}{:^15.6f}{:^15.6f}'.format(i-1,Ri,Rs,Rr,F(Rr)))
    elif i > 1:
             print ('{:^15}{:^15.6f}{:^15.6f}{:^15.6f}{:^15.6f}{:^15.10f}'.format(i-1,Ri,Rs,Rr,F(Rr),Er))
x=1
def F(n):
返回745*(1-e(-x/10))-49*x
在您的
F(n)
方法中,
x
是一个赋值为1且永不更改的值。因此
F(n)
将始终返回相同的值
21.896123563210153

如果F(Ri)*F(Rr)<0:
Rs=Rr
elif(Ri)*F(Rr)>0:
Ri=Rr
elif(Rr)==0:
打印('La raiz es',右后)
因此,
F(Ri)*F(Rr)
始终为正值。因此,
Ri
具有相同的
Rr

Rr=(F(Rs)*Ri-F(Ri)*Rs)/(F(Rs)-F(Ri))
通过将
F(Rs)-F(Ri)
除以0来计算
Rr
。这在数学上是违法的。所以在你的例子中,
Rr
nan

在第一个循环之后,
Ri
被分配
Rr
的值

def错误(Rra、Rrn): Erel=abs((Rrn-Rra)/Rrn)*100 回程鱼 Er=错误(Rra,Rr)
Rrn
的值为
Rr
。在
(Rrn-Rra)/Rrn
中,将
nan
值除以。这将导致
nan


总之,根本原因是方法
F(n)
中的
x
是一个常量。

在您编写的
Rr=(F(Rs)*Ri-F(Ri)*Rs)/(F(Rs)-F(Ri))
中,您希望首次运行时
Rs
Ri
的值是什么?因此,
F(Rs)-F(Ri)
的结果应该是什么?你知道这是怎么引起问题的吗?另外:
Rs
的初始值应该来自哪里?我加上Rs值的来源
from numpy import exp as e
 
Ri = 9
Rr = 10
i = 0
Er = 0
x = 1
 
def F(n):
    return 745*(1-e(-x/10))-49*x
 
#Funcion para calcular el error relativo
def error (Rra,Rrn):
    Erel = abs((Rrn - Rra) / Rrn) * 100
    return Erel
 
 
print ('{:^15}{:^15}{:^15}{:^15}{:^15}{:^25}'.format('# iter','Ri','Rs','Rr','F(Rr)','Erel(%)'))
 
while (i < 10):
    Er = error(Rra,Rr)
    Rra = Rr #Rra sera el Rr anterior para determinar el error relativo
    if F(Ri) * F(Rr) < 0:
        Rs = Rr
    elif F(Ri) * F(Rr) > 0:
        Ri = Rr
    elif F(Rr) == 0:
        print('La raiz es',Rr)
 
    Rr = (F(Rs)*Ri -F(Ri)*Rs)/(F(Rs) - F(Ri))
 
    i = i + 1
 
     #Condicional para el primer error relativo
 
    if i == 1:
             print ('{:^15}{:^15.10f}{:^15.10f}{:^15.10f}{:^15.10f}'.format(i-1,Ri,Rs,Rr,F(Rr)))
    elif i > 1:
             print ('{:^15}{:^15.10f}{:^15.10f}{:^15.10f}{:^15.10f}{:^25.10f}'.format(i-1,Ri,Rs,Rr,F(Rr),Er))
# iter           Ri             Rs             Rr            F(Rr)              Erel(%)
       0        10.0000000000  10.0000000000       nan       21.8961235632
       1             nan       10.0000000000       nan       21.8961235632            nan
       2             nan       10.0000000000       nan       21.8961235632            nan
       3             nan       10.0000000000       nan       21.8961235632            nan
       4             nan       10.0000000000       nan       21.8961235632            nan
       5             nan       10.0000000000       nan       21.8961235632            nan
       6             nan       10.0000000000       nan       21.8961235632            nan
       7             nan       10.0000000000       nan       21.8961235632            nan
       8             nan       10.0000000000       nan       21.8961235632            nan
       9             nan       10.0000000000       nan       21.8961235632            nan
/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:30: RuntimeWarning: invalid value encountered in double_scalars