Average Error: 13.3 → 0.3
Time: 9.3s
Precision: 64
\[\left(x = 0.0 \lor 0.588414199999999998 \le x \le 505.590899999999976\right) \land \left(-1.79665800000000009 \cdot 10^{308} \le y \le -9.425585000000013 \cdot 10^{-310} \lor 1.284938 \cdot 10^{-309} \le y \le 1.7512240000000001 \cdot 10^{308}\right) \land \left(-1.7767070000000002 \cdot 10^{308} \le z \le -8.59979600000002 \cdot 10^{-310} \lor 3.29314499999998 \cdot 10^{-311} \le z \le 1.72515400000000009 \cdot 10^{308}\right) \land \left(-1.79665800000000009 \cdot 10^{308} \le a \le -9.425585000000013 \cdot 10^{-310} \lor 1.284938 \cdot 10^{-309} \le a \le 1.7512240000000001 \cdot 10^{308}\right)\]
\[x + \left(\tan \left(y + z\right) - \tan a\right)\]
↓
\[x + \mathsf{fma}\left(\frac{\tan y + \tan z}{1 - \log \left(e^{\tan y \cdot \tan z}\right) \cdot \log \left(e^{\tan y \cdot \tan z}\right)}, 1 + \log \left(e^{\tan y \cdot \tan z}\right), -\tan a\right)\]
x + \left(\tan \left(y + z\right) - \tan a\right)
↓
x + \mathsf{fma}\left(\frac{\tan y + \tan z}{1 - \log \left(e^{\tan y \cdot \tan z}\right) \cdot \log \left(e^{\tan y \cdot \tan z}\right)}, 1 + \log \left(e^{\tan y \cdot \tan z}\right), -\tan a\right)
double code(double x, double y, double z, double a) {
	return (x + (tan((y + z)) - tan(a)));
}
↓
double code(double x, double y, double z, double a) {
	return (x + fma(((tan(y) + tan(z)) / (1.0 - (log(exp((tan(y) * tan(z)))) * log(exp((tan(y) * tan(z))))))), (1.0 + log(exp((tan(y) * tan(z))))), -tan(a)));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus a

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 13.3

    \[x + \left(\tan \left(y + z\right) - \tan a\right)\]
  2. Using strategy rm

  3. Applied tan-sum0.2

    \[\leadsto x + \left(\color{blue}{\frac{\tan y + \tan z}{1 - \tan y \cdot \tan z}} - \tan a\right)\]
  4. Using strategy rm

  5. Applied add-log-exp0.2

    \[\leadsto x + \left(\frac{\tan y + \tan z}{1 - \color{blue}{\log \left(e^{\tan y \cdot \tan z}\right)}} - \tan a\right)\]
  6. Using strategy rm

  7. Applied flip--0.3

    \[\leadsto x + \left(\frac{\tan y + \tan z}{\color{blue}{\frac{1 \cdot 1 - \log \left(e^{\tan y \cdot \tan z}\right) \cdot \log \left(e^{\tan y \cdot \tan z}\right)}{1 + \log \left(e^{\tan y \cdot \tan z}\right)}}} - \tan a\right)\]

  8. Applied associate-/r/0.3

    \[\leadsto x + \left(\color{blue}{\frac{\tan y + \tan z}{1 \cdot 1 - \log \left(e^{\tan y \cdot \tan z}\right) \cdot \log \left(e^{\tan y \cdot \tan z}\right)} \cdot \left(1 + \log \left(e^{\tan y \cdot \tan z}\right)\right)} - \tan a\right)\]

  9. Applied fma-neg0.3

    \[\leadsto x + \color{blue}{\mathsf{fma}\left(\frac{\tan y + \tan z}{1 \cdot 1 - \log \left(e^{\tan y \cdot \tan z}\right) \cdot \log \left(e^{\tan y \cdot \tan z}\right)}, 1 + \log \left(e^{\tan y \cdot \tan z}\right), -\tan a\right)}\]

  10. Final simplification0.3

    \[\leadsto x + \mathsf{fma}\left(\frac{\tan y + \tan z}{1 - \log \left(e^{\tan y \cdot \tan z}\right) \cdot \log \left(e^{\tan y \cdot \tan z}\right)}, 1 + \log \left(e^{\tan y \cdot \tan z}\right), -\tan a\right)\]

Reproduce

herbie shell --seed 2020066 +o rules:numerics
(FPCore (x y z a)
  :name "(+ x (- (tan (+ y z)) (tan a)))"
  :precision binary64
  :pre (and (or (== x 0.0) (<= 0.5884142 x 505.5909)) (or (<= -1.796658e+308 y -9.425585e-310) (<= 1.284938e-309 y 1.7512240000000001e+308)) (or (<= -1.7767070000000002e+308 z -8.599796e-310) (<= 3.293145e-311 z 1.725154e+308)) (or (<= -1.796658e+308 a -9.425585e-310) (<= 1.284938e-309 a 1.7512240000000001e+308)))
  (+ x (- (tan (+ y z)) (tan a))))