"""ifp ==1:return(-oo, oo)assertp <=1# In terms of n*sigma, we have n = sqrt(2)*ierf(p). The inverse# error function is not yet implemented in SymPy but can easily be# computed numericallyfromsympy.mpmathimportmpf,erffromsympy.mpmath.calculusimportsecant p = mpf(p)# calculate y...
可以通过(__closure__)这个双下方法来查看一个函数名是不是闭包,当打印出"(<cell at 0x000001B30E5F0108: function object at 0x000001B31163D7B8>, <cell at 0x000001B3103A7378: str object at 0x000001B3103A0370>)" 这样就表面此函数是一个闭包,其实就是‘cell’,如果不是,则返回None 由于有了作用...
def_gausshermitebin(x,params,binsize):"""Evaluate the integrated Gauss-Hermite function"""ncenter= params.shape[1] out= numpy.empty((ncenter,x.shape[1])) integ= numpy.empty((params.shape[0]-1,x.shape[1]))foriiinrange(ncenter): poly= numpy.polynomial.HermiteE(params[1:,ii])# Con...
Return Value: A float value, representing the error function of a number Python Version: 3.2More ExamplesExample Calculate the mathematical error function of the same number, positive and negative: print (math.erf(1.28)) print (math.erf(-1.28)) Try it Yourself » ...
function erf($x) $pi = 3.1415927; $x2 = $x * $x; $a * $x2; $denom = 1 + $ax2; $erf2 = 1 - exp($inner); } functi 浏览1提问于2013-12-26得票数 1 1回答 生成随机倒置高斯分布 random、probability、gaussian 我正在尝试生成一个随机分布,它遵循倒置的高斯分布,移动了uo,因此它仍然...
In Python version 3.2 and later, we use the methodmath.erf()to check the error function of the provided number. This method is used to compute the distribution function for the standard normal distribution, and it is actually integral to the normal distribution. ...
! Portable Special Function Routines,! in Portability of Numerical Software,! edited by Wa...
erf的定义函数erf(x)在数学中为误差函数(也称之为高斯误差函数,error function or Gauss error function),是一个非基本函数(即不是初等函数),其在概率论、统计学以及偏微分方程和半导体物理中都有广泛的应用。erf的一个应用erf被用于归一化离群值得分, ... ...
When x is a symbolic expression, it will remain in function form so that it can be manipulated symbolically or as part of a larger expression. • If x is an array, the result is an elementwise mapping over x. • erfc(x) is the complementary error function, that is, 1−erf...
Here is a minimal working example which I think gets to the fact that the error function has an issue in jax-metal. #! /usr/bin/env python from jax.scipy.special import erf erf(0) Results in: jaxlib.xla_extension.XlaRuntimeError: UNKNOWN: ./test.py:5:0: error: failed to legalize...