, 0., max_ph, args=(e,)) ''' this simply calls scipy.optimize.brentqcase of an error it returns numpy.NAN instead of throwing an exception ''' return scipy.optimize.br
我试着使用SymPy来象征性地解决dB问题,但是我一直得到超时错误。我也尝试从scipy.optimize中使用scipy.optimize,但是dB的答案是错误的(参见下面使用fminbound方法编写的Python代码)。有谁知道用Python解决dB方程的方法吗?import numpy as np
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但是,运行相同的代码会导致以下错误: print dg.rvs(mu1=0.01, sigma1=2.0, mu2=return optimize.brentq(self./0.8.0-cms/lib/python2.7/site-packages/scipy/optimize/zeros.py", line 362, in <