我正在使用sympy
和numpy
在Python中编写自己的Newton-Raphson算法。
代码如下,但你可以忽略它并跳到错误:
CODE
def newtonRhapson(fncList, varz, x0):
jacob = []
for fnc in fncList:
vec = []
for var in varz:
res = fnc.diff(var)
for i in range(len(varz)):
res = res.subs(varz[i], x0[i])
vec.append(res)
jacob.append(numpy.array(vec, dtype='float64'))
fx0=[]
for fnc in fncList:
res2 = fnc
for i in range(len(varz)):
res2 = res2.subs(varz[i], x0[i])
fx0.append(res2)
j = jacob
f = fx0
print j
print ''
print f
print numpy.linalg.solve(j,f).tolist()
该函数的参数是:
fncList
- 使用Sympy
符号
varz
- 包含这些符号(变量)的列表
x0
- 初步猜测
错误
直到我们print
j
和f
工作正常并打印以下内容:
[array([-9.13378682, -5.91269838]), array([ 4.84401379, 1.01980286])]
[-5.15598620617611, 5.13378681611922]
我跑的时候:
newtonRhapson([5*cos(a)+6*cos(a+b)-10, 5*sin(a)+6*sin(a+b)-4], [a,b], [0.7,0.7])
但在跑线上:
print numpy.linalg.solve(j,f).tolist()
我收到错误:
File "/Users/me/anaconda/lib/python2.7/site- packages/numpy/linalg/linalg.py", line 384, in solve
r = gufunc(a, b, signature=signature, extobj=extobj)
TypeError: No loop matching the specified signature and casting was found for ufunc solve1
答案 0 :(得分:6)
您的问题出在第二个for
循环中。
for fnc in fncList:
res2 = fnc
for i in range(len(varz)):
res2 = res2.subs(varz[i], x0[i])
fx0.append(res2)
当您追加fx0
时,您需要确保附加相同的类型(float64
),以便NumPy可以使用LAPACK计算系统的行列式(请参阅{{ 3}}了解更多信息)。您当前正在附加<class 'sympy.core.numbers.Float'>
- 您的错误消息告诉您使用的类型签名不正确。
要解决此问题,您只需为numpy.array
添加dtype
规范float64
,就像上面那样
for fnc in fncList:
res2 = fnc
for i in range(len(varz)):
res2 = res2.subs(varz[i], x0[i])
fx0.append(numpy.array(res2, dtype='float'))