(FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))
(FPCore (cosTheta_i u1 u2) :precision binary32 (log1p (expm1 (* (cos (* 6.28318530718 u2)) (sqrt (/ u1 (- 1.0 u1)))))))
float code(float cosTheta_i, float u1, float u2) {
return sqrtf((u1 / (1.0f - u1))) * cosf((6.28318530718f * u2));
}
float code(float cosTheta_i, float u1, float u2) {
return log1pf(expm1f((cosf((6.28318530718f * u2)) * sqrtf((u1 / (1.0f - u1))))));
}
function code(cosTheta_i, u1, u2) return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * cos(Float32(Float32(6.28318530718) * u2))) end
function code(cosTheta_i, u1, u2) return log1p(expm1(Float32(cos(Float32(Float32(6.28318530718) * u2)) * sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))))) end
\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right)
\mathsf{log1p}\left(\mathsf{expm1}\left(\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}\right)\right)



Bits error versus cosTheta_i



Bits error versus u1



Bits error versus u2
Results
Initial program 0.3
Applied egg-rr0.3
Final simplification0.3
herbie shell --seed 2022160
(FPCore (cosTheta_i u1 u2)
:name "Trowbridge-Reitz Sample, near normal, slope_x"
:precision binary32
:pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
(* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))