Average Error: 6.3 → 3.3
Time: 4.4s
Precision: binary64
\[[x, y]=\mathsf{sort}([x, y])\]
\[\frac{\frac{1}{x}}{y \cdot \left(1 + z \cdot z\right)} \]
↓
\[\frac{1}{x} \cdot \left(\frac{1}{\mathsf{hypot}\left(1, z\right)} \cdot \frac{\frac{1}{y}}{\mathsf{hypot}\left(1, z\right)}\right) \]
\frac{\frac{1}{x}}{y \cdot \left(1 + z \cdot z\right)}
↓
\frac{1}{x} \cdot \left(\frac{1}{\mathsf{hypot}\left(1, z\right)} \cdot \frac{\frac{1}{y}}{\mathsf{hypot}\left(1, z\right)}\right)

(FPCore (x y z) :precision binary64 (/ (/ 1.0 x) (* y (+ 1.0 (* z z)))))
↓
(FPCore (x y z)
 :precision binary64
 (* (/ 1.0 x) (* (/ 1.0 (hypot 1.0 z)) (/ (/ 1.0 y) (hypot 1.0 z)))))
double code(double x, double y, double z) {
	return (1.0 / x) / (y * (1.0 + (z * z)));
}
↓
double code(double x, double y, double z) {
	return (1.0 / x) * ((1.0 / hypot(1.0, z)) * ((1.0 / y) / hypot(1.0, z)));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original6.3
Target5.1
Herbie3.3
\[\begin{array}{l} \mathbf{if}\;y \cdot \left(1 + z \cdot z\right) < -\infty:\\ \;\;\;\;\frac{\frac{1}{y}}{\left(1 + z \cdot z\right) \cdot x}\\ \mathbf{elif}\;y \cdot \left(1 + z \cdot z\right) < 8.680743250567252 \cdot 10^{+305}:\\ \;\;\;\;\frac{\frac{1}{x}}{\left(1 + z \cdot z\right) \cdot y}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{1}{y}}{\left(1 + z \cdot z\right) \cdot x}\\ \end{array} \]

Derivation

  1. Initial program 6.3

    \[\frac{\frac{1}{x}}{y \cdot \left(1 + z \cdot z\right)} \]

  2. Simplified6.3

    \[\leadsto \color{blue}{\frac{\frac{1}{x}}{y \cdot \mathsf{fma}\left(z, z, 1\right)}} \]

  3. Applied div-inv_binary646.4

    \[\leadsto \color{blue}{\frac{1}{x} \cdot \frac{1}{y \cdot \mathsf{fma}\left(z, z, 1\right)}} \]

  4. Applied associate-/r*_binary646.3

    \[\leadsto \frac{1}{x} \cdot \color{blue}{\frac{\frac{1}{y}}{\mathsf{fma}\left(z, z, 1\right)}} \]

  5. Applied add-sqr-sqrt_binary646.3

    \[\leadsto \frac{1}{x} \cdot \frac{\frac{1}{y}}{\color{blue}{\sqrt{\mathsf{fma}\left(z, z, 1\right)} \cdot \sqrt{\mathsf{fma}\left(z, z, 1\right)}}} \]

  6. Applied *-un-lft-identity_binary646.3

    \[\leadsto \frac{1}{x} \cdot \frac{\frac{1}{\color{blue}{1 \cdot y}}}{\sqrt{\mathsf{fma}\left(z, z, 1\right)} \cdot \sqrt{\mathsf{fma}\left(z, z, 1\right)}} \]

  7. Applied add-cube-cbrt_binary646.3

    \[\leadsto \frac{1}{x} \cdot \frac{\frac{\color{blue}{\left(\sqrt[3]{1} \cdot \sqrt[3]{1}\right) \cdot \sqrt[3]{1}}}{1 \cdot y}}{\sqrt{\mathsf{fma}\left(z, z, 1\right)} \cdot \sqrt{\mathsf{fma}\left(z, z, 1\right)}} \]

  8. Applied times-frac_binary646.3

    \[\leadsto \frac{1}{x} \cdot \frac{\color{blue}{\frac{\sqrt[3]{1} \cdot \sqrt[3]{1}}{1} \cdot \frac{\sqrt[3]{1}}{y}}}{\sqrt{\mathsf{fma}\left(z, z, 1\right)} \cdot \sqrt{\mathsf{fma}\left(z, z, 1\right)}} \]

  9. Applied times-frac_binary646.3

    \[\leadsto \frac{1}{x} \cdot \color{blue}{\left(\frac{\frac{\sqrt[3]{1} \cdot \sqrt[3]{1}}{1}}{\sqrt{\mathsf{fma}\left(z, z, 1\right)}} \cdot \frac{\frac{\sqrt[3]{1}}{y}}{\sqrt{\mathsf{fma}\left(z, z, 1\right)}}\right)} \]

  10. Simplified6.3

    \[\leadsto \frac{1}{x} \cdot \left(\color{blue}{\frac{1}{\mathsf{hypot}\left(1, z\right)}} \cdot \frac{\frac{\sqrt[3]{1}}{y}}{\sqrt{\mathsf{fma}\left(z, z, 1\right)}}\right) \]

  11. Simplified3.3

    \[\leadsto \frac{1}{x} \cdot \left(\frac{1}{\mathsf{hypot}\left(1, z\right)} \cdot \color{blue}{\frac{\frac{1}{y}}{\mathsf{hypot}\left(1, z\right)}}\right) \]

  12. Final simplification3.3

    \[\leadsto \frac{1}{x} \cdot \left(\frac{1}{\mathsf{hypot}\left(1, z\right)} \cdot \frac{\frac{1}{y}}{\mathsf{hypot}\left(1, z\right)}\right) \]

Reproduce

herbie shell --seed 2021332 
(FPCore (x y z)
  :name "Statistics.Distribution.CauchyLorentz:$cdensity from math-functions-0.1.5.2"
  :precision binary64

  :herbie-target
  (if (< (* y (+ 1.0 (* z z))) (- INFINITY)) (/ (/ 1.0 y) (* (+ 1.0 (* z z)) x)) (if (< (* y (+ 1.0 (* z z))) 8.680743250567252e+305) (/ (/ 1.0 x) (* (+ 1.0 (* z z)) y)) (/ (/ 1.0 y) (* (+ 1.0 (* z z)) x))))

  (/ (/ 1.0 x) (* y (+ 1.0 (* z z)))))