\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) + 0.5\left(0.1666666666666666574148081281236954964697 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\right) \cdot {\left({-2}^{1} \cdot {\left(\log u1\right)}^{1}\right)}^{0.5} + 0.5double f(double u1, double u2) {
double r70360 = 1.0;
double r70361 = 6.0;
double r70362 = r70360 / r70361;
double r70363 = -2.0;
double r70364 = u1;
double r70365 = log(r70364);
double r70366 = r70363 * r70365;
double r70367 = 0.5;
double r70368 = pow(r70366, r70367);
double r70369 = r70362 * r70368;
double r70370 = 2.0;
double r70371 = atan2(1.0, 0.0);
double r70372 = r70370 * r70371;
double r70373 = u2;
double r70374 = r70372 * r70373;
double r70375 = cos(r70374);
double r70376 = r70369 * r70375;
double r70377 = r70376 + r70367;
return r70377;
}
double f(double u1, double u2) {
double r70378 = 0.16666666666666666;
double r70379 = 2.0;
double r70380 = atan2(1.0, 0.0);
double r70381 = r70379 * r70380;
double r70382 = u2;
double r70383 = r70381 * r70382;
double r70384 = cos(r70383);
double r70385 = r70378 * r70384;
double r70386 = -2.0;
double r70387 = 1.0;
double r70388 = pow(r70386, r70387);
double r70389 = u1;
double r70390 = log(r70389);
double r70391 = pow(r70390, r70387);
double r70392 = r70388 * r70391;
double r70393 = 0.5;
double r70394 = pow(r70392, r70393);
double r70395 = r70385 * r70394;
double r70396 = r70395 + r70393;
return r70396;
}



Bits error versus u1



Bits error versus u2
Results
Initial program 0.4
rmApplied div-inv0.4
Applied associate-*l*0.4
Simplified0.3
Taylor expanded around -inf 64.0
Simplified0.4
Final simplification0.4
herbie shell --seed 2019350
(FPCore (u1 u2)
:name "normal distribution"
:precision binary64
:pre (and (<= 0.0 u1 1) (<= 0.0 u2 1))
(+ (* (* (/ 1 6) (pow (* -2 (log u1)) 0.5)) (cos (* (* 2 PI) u2))) 0.5))