Average Error: 0.3 → 0.3
Time: 12.3s
Precision: binary32
\[cosTheta_i > 0.9999 \land cosTheta_i \leq 1 \land 2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1 \land 2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\]
\[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right)\]
↓
\[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\sqrt[3]{39.47841760436263 \cdot \left(6.28318530718 \cdot \left(u2 \cdot \left(u2 \cdot u2\right)\right)\right)}\right)\]
\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right)
↓
\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\sqrt[3]{39.47841760436263 \cdot \left(6.28318530718 \cdot \left(u2 \cdot \left(u2 \cdot u2\right)\right)\right)}\right)
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))
↓
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (/ u1 (- 1.0 u1)))
  (cos (cbrt (* 39.47841760436263 (* 6.28318530718 (* u2 (* u2 u2))))))))
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 sqrtf(u1 / (1.0f - u1)) * cosf(cbrtf(39.47841760436263f * (6.28318530718f * (u2 * (u2 * u2)))));
}

Error

Bits error versus cosTheta_i

Bits error versus u1

Bits error versus u2

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.3

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right)\]
  2. Using strategy rm

  3. Applied add-cube-cbrt_binary320.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\color{blue}{\left(\left(\sqrt[3]{6.28318530718} \cdot \sqrt[3]{6.28318530718}\right) \cdot \sqrt[3]{6.28318530718}\right)} \cdot u2\right)\]

  4. Applied associate-*l*_binary320.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \color{blue}{\left(\left(\sqrt[3]{6.28318530718} \cdot \sqrt[3]{6.28318530718}\right) \cdot \left(\sqrt[3]{6.28318530718} \cdot u2\right)\right)}\]

  5. Simplified0.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\left(\sqrt[3]{6.28318530718} \cdot \sqrt[3]{6.28318530718}\right) \cdot \color{blue}{\left(u2 \cdot \sqrt[3]{6.28318530718}\right)}\right)\]
  6. Using strategy rm

  7. Applied add-cbrt-cube_binary320.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\left(\sqrt[3]{6.28318530718} \cdot \sqrt[3]{6.28318530718}\right) \cdot \left(\color{blue}{\sqrt[3]{\left(u2 \cdot u2\right) \cdot u2}} \cdot \sqrt[3]{6.28318530718}\right)\right)\]

  8. Applied cbrt-unprod_binary320.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\left(\sqrt[3]{6.28318530718} \cdot \sqrt[3]{6.28318530718}\right) \cdot \color{blue}{\sqrt[3]{\left(\left(u2 \cdot u2\right) \cdot u2\right) \cdot 6.28318530718}}\right)\]

  9. Applied cbrt-unprod_binary320.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\color{blue}{\sqrt[3]{6.28318530718 \cdot 6.28318530718}} \cdot \sqrt[3]{\left(\left(u2 \cdot u2\right) \cdot u2\right) \cdot 6.28318530718}\right)\]

  10. Applied cbrt-unprod_binary320.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \color{blue}{\left(\sqrt[3]{\left(6.28318530718 \cdot 6.28318530718\right) \cdot \left(\left(\left(u2 \cdot u2\right) \cdot u2\right) \cdot 6.28318530718\right)}\right)}\]

  11. Final simplification0.3

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(\sqrt[3]{39.47841760436263 \cdot \left(6.28318530718 \cdot \left(u2 \cdot \left(u2 \cdot u2\right)\right)\right)}\right)\]

Reproduce

herbie shell --seed 2021139 
(FPCore (cosTheta_i u1 u2)
  :name "Trowbridge-Reitz Sample, near normal, slope_x"
  :precision binary32
  :pre (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0) (<= 2.328306437e-10 u1 1.0) (<= 2.328306437e-10 u2 1.0))
  (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))