erf_zeros(nt)
Zeros in the other quadrants can be obtained by using the symmetries erf(-z) = erf(z) and erf(conj(z)) = conj(erf(z)).
The number of zeros to compute
Complex values at which zeros of erf(z)
Compute the first nt zero in the first quadrant, ordered by absolute value.
>>> 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])See :
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.special._basic.erf_zeros
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