scipy.special.betaln — SciPy v1.15.2 Manual (original) (raw)
scipy.special.betaln(a, b, out=None) = <ufunc 'betaln'>#
Natural logarithm of absolute value of beta function.
Computes ln(abs(beta(a, b)))
.
Parameters:
a, barray_like
Positive, real-valued parameters
outndarray, optional
Optional output array for function values
Returns:
scalar or ndarray
Value of the betaln function
See also
the gamma function
the regularized incomplete beta function
the beta function
Examples
import numpy as np from scipy.special import betaln, beta
Verify that, for moderate values of a
and b
, betaln(a, b)
is the same as log(beta(a, b))
:
betaln(3, 4) -4.0943445622221
np.log(beta(3, 4)) -4.0943445622221
In the following beta(a, b)
underflows to 0, so we can’t compute the logarithm of the actual value.
a = 400 b = 900 beta(a, b) 0.0
We can compute the logarithm of beta(a, b)
by using betaln:
betaln(a, b) -804.3069951764146