Average Error: 15.3 → 0.8
Time: 1.9s
Precision: binary64
\[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
\[\sqrt{0.5} \cdot \left(\frac{\sqrt{0.5}}{y} + \frac{\sqrt{0.5}}{x}\right)\]
\frac{x + y}{\left(x \cdot 2\right) \cdot y}
\sqrt{0.5} \cdot \left(\frac{\sqrt{0.5}}{y} + \frac{\sqrt{0.5}}{x}\right)
double code(double x, double y) {
	return ((double) (((double) (x + y)) / ((double) (((double) (x * 2.0)) * y))));
}
double code(double x, double y) {
	return ((double) (((double) sqrt(0.5)) * ((double) (((double) (((double) sqrt(0.5)) / y)) + ((double) (((double) sqrt(0.5)) / x))))));
}

Error

Bits error versus x

Bits error versus y

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Results

Enter valid numbers for all inputs

Target

Original15.3
Target0.0
Herbie0.8
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 15.3

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  2. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{0.5 \cdot \frac{1}{y} + 0.5 \cdot \frac{1}{x}}\]
  3. Simplified0.0

    \[\leadsto \color{blue}{\frac{0.5}{y} + \frac{0.5}{x}}\]
  4. Using strategy rm
  5. Applied *-un-lft-identity0.0

    \[\leadsto \frac{0.5}{y} + \frac{0.5}{\color{blue}{1 \cdot x}}\]
  6. Applied add-sqr-sqrt0.6

    \[\leadsto \frac{0.5}{y} + \frac{\color{blue}{\sqrt{0.5} \cdot \sqrt{0.5}}}{1 \cdot x}\]
  7. Applied times-frac0.4

    \[\leadsto \frac{0.5}{y} + \color{blue}{\frac{\sqrt{0.5}}{1} \cdot \frac{\sqrt{0.5}}{x}}\]
  8. Applied *-un-lft-identity0.4

    \[\leadsto \frac{0.5}{\color{blue}{1 \cdot y}} + \frac{\sqrt{0.5}}{1} \cdot \frac{\sqrt{0.5}}{x}\]
  9. Applied add-sqr-sqrt1.0

    \[\leadsto \frac{\color{blue}{\sqrt{0.5} \cdot \sqrt{0.5}}}{1 \cdot y} + \frac{\sqrt{0.5}}{1} \cdot \frac{\sqrt{0.5}}{x}\]
  10. Applied times-frac0.8

    \[\leadsto \color{blue}{\frac{\sqrt{0.5}}{1} \cdot \frac{\sqrt{0.5}}{y}} + \frac{\sqrt{0.5}}{1} \cdot \frac{\sqrt{0.5}}{x}\]
  11. Applied distribute-lft-out0.8

    \[\leadsto \color{blue}{\frac{\sqrt{0.5}}{1} \cdot \left(\frac{\sqrt{0.5}}{y} + \frac{\sqrt{0.5}}{x}\right)}\]
  12. Final simplification0.8

    \[\leadsto \sqrt{0.5} \cdot \left(\frac{\sqrt{0.5}}{y} + \frac{\sqrt{0.5}}{x}\right)\]

Reproduce

herbie shell --seed 2020184 
(FPCore (x y)
  :name "Linear.Projection:inversePerspective from linear-1.19.1.3, C"
  :precision binary64

  :herbie-target
  (+ (/ 0.5 x) (/ 0.5 y))

  (/ (+ x y) (* (* x 2.0) y)))