scipy.special.
erf_zeros#
- scipy.special.erf_zeros(nt)[source]#
- Compute the first nt zero in the first quadrant, ordered by absolute value. - Zeros in the other quadrants can be obtained by using the symmetries erf(-z) = erf(z) and erf(conj(z)) = conj(erf(z)). - Parameters:
- ntint
- The number of zeros to compute 
 
- Returns:
- The locations of the zeros of erfndarray (complex)
- Complex values at which zeros of erf(z) 
 
 - References [1]- Zhang, Shanjie and Jin, Jianming. “Computation of Special Functions”, John Wiley and Sons, 1996. https://people.sc.fsu.edu/~jburkardt/f77_src/special_functions/special_functions.html - Examples - >>> from scipy import special >>> special.erf_zeros(1) array([1.45061616+1.880943j]) - Check that erf is (close to) zero for the value returned by erf_zeros - >>> special.erf(special.erf_zeros(1)) array([4.95159469e-14-1.16407394e-16j])