Average Error: 7.9 → 1.4
Time: 15.1s
Precision: binary64
\[[x, y]=\mathsf{sort}([x, y])\]
\[[z, t]=\mathsf{sort}([z, t])\]
\[\frac{x \cdot y - \left(z \cdot 9\right) \cdot t}{a \cdot 2}\]
\[\begin{array}{l} \mathbf{if}\;x \cdot y - \left(z \cdot 9\right) \cdot t \leq -6.0319183902438205 \cdot 10^{+134} \lor \neg \left(x \cdot y - \left(z \cdot 9\right) \cdot t \leq 7.733056455790539 \cdot 10^{+307}\right):\\ \;\;\;\;\frac{x}{\frac{a}{\frac{y}{2}}} - \left(t \cdot \frac{z}{a}\right) \cdot 4.5\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot y}{a \cdot 2} - \left(z \cdot t\right) \cdot \frac{4.5}{a}\\ \end{array}\]
\frac{x \cdot y - \left(z \cdot 9\right) \cdot t}{a \cdot 2}
\begin{array}{l}
\mathbf{if}\;x \cdot y - \left(z \cdot 9\right) \cdot t \leq -6.0319183902438205 \cdot 10^{+134} \lor \neg \left(x \cdot y - \left(z \cdot 9\right) \cdot t \leq 7.733056455790539 \cdot 10^{+307}\right):\\
\;\;\;\;\frac{x}{\frac{a}{\frac{y}{2}}} - \left(t \cdot \frac{z}{a}\right) \cdot 4.5\\

\mathbf{else}:\\
\;\;\;\;\frac{x \cdot y}{a \cdot 2} - \left(z \cdot t\right) \cdot \frac{4.5}{a}\\

\end{array}
(FPCore (x y z t a)
 :precision binary64
 (/ (- (* x y) (* (* z 9.0) t)) (* a 2.0)))
(FPCore (x y z t a)
 :precision binary64
 (if (or (<= (- (* x y) (* (* z 9.0) t)) -6.0319183902438205e+134)
         (not (<= (- (* x y) (* (* z 9.0) t)) 7.733056455790539e+307)))
   (- (/ x (/ a (/ y 2.0))) (* (* t (/ z a)) 4.5))
   (- (/ (* x y) (* a 2.0)) (* (* z t) (/ 4.5 a)))))
double code(double x, double y, double z, double t, double a) {
	return ((x * y) - ((z * 9.0) * t)) / (a * 2.0);
}
double code(double x, double y, double z, double t, double a) {
	double tmp;
	if ((((x * y) - ((z * 9.0) * t)) <= -6.0319183902438205e+134) || !(((x * y) - ((z * 9.0) * t)) <= 7.733056455790539e+307)) {
		tmp = (x / (a / (y / 2.0))) - ((t * (z / a)) * 4.5);
	} else {
		tmp = ((x * y) / (a * 2.0)) - ((z * t) * (4.5 / a));
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original7.9
Target5.7
Herbie1.4
\[\begin{array}{l} \mathbf{if}\;a < -2.090464557976709 \cdot 10^{+86}:\\ \;\;\;\;0.5 \cdot \frac{y \cdot x}{a} - 4.5 \cdot \frac{t}{\frac{a}{z}}\\ \mathbf{elif}\;a < 2.144030707833976 \cdot 10^{+99}:\\ \;\;\;\;\frac{x \cdot y - z \cdot \left(9 \cdot t\right)}{a \cdot 2}\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{a} \cdot \left(x \cdot 0.5\right) - \frac{t}{a} \cdot \left(z \cdot 4.5\right)\\ \end{array}\]

Derivation

  1. Split input into 2 regimes
  2. if (-.f64 (*.f64 x y) (*.f64 (*.f64 z 9) t)) < -6.03191839024382053e134 or 7.733056455790539e307 < (-.f64 (*.f64 x y) (*.f64 (*.f64 z 9) t))

    1. Initial program 30.4

      \[\frac{x \cdot y - \left(z \cdot 9\right) \cdot t}{a \cdot 2}\]
    2. Using strategy rm
    3. Applied div-sub_binary64_1781530.4

      \[\leadsto \color{blue}{\frac{x \cdot y}{a \cdot 2} - \frac{\left(z \cdot 9\right) \cdot t}{a \cdot 2}}\]
    4. Simplified30.0

      \[\leadsto \frac{x \cdot y}{a \cdot 2} - \color{blue}{\frac{t \cdot z}{a} \cdot 4.5}\]
    5. Using strategy rm
    6. Applied associate-/l*_binary64_1775516.2

      \[\leadsto \color{blue}{\frac{x}{\frac{a \cdot 2}{y}}} - \frac{t \cdot z}{a} \cdot 4.5\]
    7. Simplified16.1

      \[\leadsto \frac{x}{\color{blue}{\frac{a}{\frac{y}{2}}}} - \frac{t \cdot z}{a} \cdot 4.5\]
    8. Using strategy rm
    9. Applied *-un-lft-identity_binary64_1781016.1

      \[\leadsto \frac{x}{\frac{a}{\frac{y}{2}}} - \frac{t \cdot z}{\color{blue}{1 \cdot a}} \cdot 4.5\]
    10. Applied times-frac_binary64_178162.7

      \[\leadsto \frac{x}{\frac{a}{\frac{y}{2}}} - \color{blue}{\left(\frac{t}{1} \cdot \frac{z}{a}\right)} \cdot 4.5\]

    if -6.03191839024382053e134 < (-.f64 (*.f64 x y) (*.f64 (*.f64 z 9) t)) < 7.733056455790539e307

    1. Initial program 0.9

      \[\frac{x \cdot y - \left(z \cdot 9\right) \cdot t}{a \cdot 2}\]
    2. Using strategy rm
    3. Applied div-sub_binary64_178151.0

      \[\leadsto \color{blue}{\frac{x \cdot y}{a \cdot 2} - \frac{\left(z \cdot 9\right) \cdot t}{a \cdot 2}}\]
    4. Simplified1.0

      \[\leadsto \frac{x \cdot y}{a \cdot 2} - \color{blue}{\frac{t \cdot z}{a} \cdot 4.5}\]
    5. Using strategy rm
    6. Applied div-inv_binary64_178071.0

      \[\leadsto \frac{x \cdot y}{a \cdot 2} - \color{blue}{\left(\left(t \cdot z\right) \cdot \frac{1}{a}\right)} \cdot 4.5\]
    7. Applied associate-*l*_binary64_177511.0

      \[\leadsto \frac{x \cdot y}{a \cdot 2} - \color{blue}{\left(t \cdot z\right) \cdot \left(\frac{1}{a} \cdot 4.5\right)}\]
    8. Simplified1.0

      \[\leadsto \frac{x \cdot y}{a \cdot 2} - \left(t \cdot z\right) \cdot \color{blue}{\frac{4.5}{a}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification1.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \cdot y - \left(z \cdot 9\right) \cdot t \leq -6.0319183902438205 \cdot 10^{+134} \lor \neg \left(x \cdot y - \left(z \cdot 9\right) \cdot t \leq 7.733056455790539 \cdot 10^{+307}\right):\\ \;\;\;\;\frac{x}{\frac{a}{\frac{y}{2}}} - \left(t \cdot \frac{z}{a}\right) \cdot 4.5\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot y}{a \cdot 2} - \left(z \cdot t\right) \cdot \frac{4.5}{a}\\ \end{array}\]

Reproduce

herbie shell --seed 2021043 
(FPCore (x y z t a)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, I"
  :precision binary64

  :herbie-target
  (if (< a -2.090464557976709e+86) (- (* 0.5 (/ (* y x) a)) (* 4.5 (/ t (/ a z)))) (if (< a 2.144030707833976e+99) (/ (- (* x y) (* z (* 9.0 t))) (* a 2.0)) (- (* (/ y a) (* x 0.5)) (* (/ t a) (* z 4.5)))))

  (/ (- (* x y) (* (* z 9.0) t)) (* a 2.0)))