\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) + 0.50.5 + 1 \cdot \left(\sqrt{\frac{\cos \left(2 \cdot \left(\pi \cdot u2\right)\right)}{6}} \cdot \left({\left(-2 \cdot \log u1\right)}^{0.5} \cdot \sqrt{\frac{\cos \left(2 \cdot \left(\pi \cdot u2\right)\right)}{6}}\right)\right)(FPCore (u1 u2) :precision binary64 (+ (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 PI) u2))) 0.5))
(FPCore (u1 u2)
:precision binary64
(+
0.5
(*
1.0
(*
(sqrt (/ (cos (* 2.0 (* PI u2))) 6.0))
(* (pow (* -2.0 (log u1)) 0.5) (sqrt (/ (cos (* 2.0 (* PI u2))) 6.0)))))))double code(double u1, double u2) {
return ((double) (((double) (((double) ((1.0 / 6.0) * ((double) pow(((double) (-2.0 * ((double) log(u1)))), 0.5)))) * ((double) cos(((double) (((double) (2.0 * ((double) M_PI))) * u2)))))) + 0.5));
}
double code(double u1, double u2) {
return ((double) (0.5 + ((double) (1.0 * ((double) (((double) sqrt((((double) cos(((double) (2.0 * ((double) (((double) M_PI) * u2)))))) / 6.0))) * ((double) (((double) pow(((double) (-2.0 * ((double) log(u1)))), 0.5)) * ((double) sqrt((((double) cos(((double) (2.0 * ((double) (((double) M_PI) * u2)))))) / 6.0)))))))))));
}



Bits error versus u1



Bits error versus u2
Results
Initial program Error: 0.4 bits
SimplifiedError: 0.4 bits
rmApplied add-sqr-sqrtError: 0.5 bits
Applied associate-*r*Error: 0.4 bits
Final simplificationError: 0.4 bits
herbie shell --seed 2020204
(FPCore (u1 u2)
:name "normal distribution"
:precision binary64
:pre (and (<= 0.0 u1 1.0) (<= 0.0 u2 1.0))
(+ (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 PI) u2))) 0.5))