Average Error: 30.3 → 0.0
Time: 1.1min
Precision: binary64
Cost: 6592
\[\frac{1 - \cos x}{\sin x}\]
↓
\[\tan \left(\frac{x}{2}\right)\]
\frac{1 - \cos x}{\sin x}
↓
\tan \left(\frac{x}{2}\right)
(FPCore (x) :precision binary64 (/ (- 1.0 (cos x)) (sin x)))
↓
(FPCore (x) :precision binary64 (tan (/ x 2.0)))
double code(double x) {
	return (1.0 - cos(x)) / sin(x);
}
↓
double code(double x) {
	return tan(x / 2.0);
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original30.3
Target0.0
Herbie0.0
\[\tan \left(\frac{x}{2}\right)\]

Alternatives

Alternative 1
Error29.0
Cost1218
\[\begin{array}{l} \mathbf{if}\;x \leq -16072471874.240786:\\ \;\;\;\;1\\ \mathbf{elif}\;x \leq 25.42820206871071:\\ \;\;\;\;\frac{1}{\frac{2}{x} - x \cdot 0.16666666666666666}\\ \mathbf{else}:\\ \;\;\;\;1\\ \end{array}\]
Alternative 2
Error29.0
Cost834
\[\begin{array}{l} \mathbf{if}\;x \leq -16072471874.240786:\\ \;\;\;\;1\\ \mathbf{elif}\;x \leq 3.0869301830392316 \cdot 10^{+19}:\\ \;\;\;\;x \cdot 0.5\\ \mathbf{else}:\\ \;\;\;\;-1\\ \end{array}\]
Alternative 3
Error59.5
Cost64
\[1\]

Error

Time

Derivation

  1. Initial program 30.3

    \[\frac{1 - \cos x}{\sin x}\]
  2. Using strategy rm

  3. Applied *-un-lft-identity_binary64_41930.3

    \[\leadsto \frac{1 - \cos x}{\color{blue}{1 \cdot \sin x}}\]

  4. Applied *-un-lft-identity_binary64_41930.3

    \[\leadsto \frac{\color{blue}{1 \cdot \left(1 - \cos x\right)}}{1 \cdot \sin x}\]

  5. Applied times-frac_binary64_42530.3

    \[\leadsto \color{blue}{\frac{1}{1} \cdot \frac{1 - \cos x}{\sin x}}\]

  6. Simplified30.3

    \[\leadsto \color{blue}{1} \cdot \frac{1 - \cos x}{\sin x}\]

  7. Simplified0.0

    \[\leadsto 1 \cdot \color{blue}{\tan \left(\frac{x}{2}\right)}\]

  8. Simplified0.0

    \[\leadsto \color{blue}{\tan \left(\frac{x}{2}\right)}\]

  9. Final simplification0.0

    \[\leadsto \tan \left(\frac{x}{2}\right)\]

Reproduce

herbie shell --seed 2021040 
(FPCore (x)
  :name "tanhf (example 3.4)"
  :precision binary64
  :herbie-expected 2

  :herbie-target
  (tan (/ x 2.0))

  (/ (- 1.0 (cos x)) (sin x)))