Average Error: 0.4 → 0.4
Time: 41.1s
Precision: 64
Internal Precision: 384
\[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) + 0.5\]
↓
\[\frac{0.5 \cdot 0.5 - \left(\cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}\right) \cdot \left(\cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}\right)}{0.5 - \cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}}\]

Error

Bits error versus u1

Bits error versus u2

Derivation

  1. Initial program 0.4

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) + 0.5\]

  2. Applied simplify0.3

    \[\leadsto \color{blue}{0.5 + \cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}}\]
  3. Using strategy rm

  4. Applied flip-+0.4

    \[\leadsto \color{blue}{\frac{0.5 \cdot 0.5 - \left(\cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}\right) \cdot \left(\cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}\right)}{0.5 - \cos \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \frac{{\left(-2 \cdot \log u1\right)}^{0.5}}{6}}}\]

Runtime

Time bar (total: 41.1s)Debug logProfile

herbie shell --seed '#(1070258749 1877548225 2229079127 1588002776 3179087814 1886870650)' 
(FPCore (u1 u2)
  :name "normal distribution"
  :pre (and (<= 0 u1 1) (<= 0 u2 1))
  (+ (* (* (/ 1 6) (pow (* -2 (log u1)) 0.5)) (cos (* (* 2 PI) u2))) 0.5))