\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot \left(1 - m\right)
\begin{array}{l}
t_0 := \mathsf{fma}\left(\frac{m}{v}, 1 - m, -1\right)\\
t_0 - m \cdot t_0
\end{array}
(FPCore (m v) :precision binary64 (* (- (/ (* m (- 1.0 m)) v) 1.0) (- 1.0 m)))
(FPCore (m v) :precision binary64 (let* ((t_0 (fma (/ m v) (- 1.0 m) -1.0))) (- t_0 (* m t_0))))
double code(double m, double v) {
return (((m * (1.0 - m)) / v) - 1.0) * (1.0 - m);
}
double code(double m, double v) {
double t_0 = fma((m / v), (1.0 - m), -1.0);
return t_0 - (m * t_0);
}



Bits error versus m



Bits error versus v
Initial program 0.1
Taylor expanded in m around 0 0.1
Simplified0.1
Applied *-un-lft-identity_binary640.1
Applied cancel-sign-sub-inv_binary640.1
Applied distribute-rgt-in_binary640.1
Final simplification0.1
herbie shell --seed 2022004
(FPCore (m v)
:name "b parameter of renormalized beta distribution"
:precision binary64
:pre (and (and (< 0.0 m) (< 0.0 v)) (< v 0.25))
(* (- (/ (* m (- 1.0 m)) v) 1.0) (- 1.0 m)))