Average Error: 4.8 → 0.6
Time: 4.1s
Precision: binary64
\[x \cdot \left(\frac{y}{z} - \frac{t}{1 - z}\right)\]
\[\begin{array}{l} \mathbf{if}\;\frac{y}{z} - \frac{t}{1 - z} \leq -3.5438826745403745 \cdot 10^{+274}:\\ \;\;\;\;\frac{x \cdot \left(y - z \cdot \left(y + t\right)\right)}{z \cdot \left(1 - z\right)}\\ \mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq -5.374133546757662 \cdot 10^{-282}:\\ \;\;\;\;\left(\frac{y}{z} - \frac{t}{1 - z}\right) \cdot x\\ \mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq 3.202405221403763 \cdot 10^{-187}:\\ \;\;\;\;\frac{x}{z} \cdot \left(t + \left(y + \frac{t}{z}\right)\right)\\ \mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq 3.0897616274855517 \cdot 10^{+249}:\\ \;\;\;\;\left(\frac{y}{z} - \frac{t}{1 - z}\right) \cdot x\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \left(y - z \cdot \left(y + t\right)\right)}{z \cdot \left(1 - z\right)}\\ \end{array}\]
x \cdot \left(\frac{y}{z} - \frac{t}{1 - z}\right)
\begin{array}{l}
\mathbf{if}\;\frac{y}{z} - \frac{t}{1 - z} \leq -3.5438826745403745 \cdot 10^{+274}:\\
\;\;\;\;\frac{x \cdot \left(y - z \cdot \left(y + t\right)\right)}{z \cdot \left(1 - z\right)}\\

\mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq -5.374133546757662 \cdot 10^{-282}:\\
\;\;\;\;\left(\frac{y}{z} - \frac{t}{1 - z}\right) \cdot x\\

\mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq 3.202405221403763 \cdot 10^{-187}:\\
\;\;\;\;\frac{x}{z} \cdot \left(t + \left(y + \frac{t}{z}\right)\right)\\

\mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq 3.0897616274855517 \cdot 10^{+249}:\\
\;\;\;\;\left(\frac{y}{z} - \frac{t}{1 - z}\right) \cdot x\\

\mathbf{else}:\\
\;\;\;\;\frac{x \cdot \left(y - z \cdot \left(y + t\right)\right)}{z \cdot \left(1 - z\right)}\\

\end{array}
(FPCore (x y z t) :precision binary64 (* x (- (/ y z) (/ t (- 1.0 z)))))
(FPCore (x y z t)
 :precision binary64
 (if (<= (- (/ y z) (/ t (- 1.0 z))) -3.5438826745403745e+274)
   (/ (* x (- y (* z (+ y t)))) (* z (- 1.0 z)))
   (if (<= (- (/ y z) (/ t (- 1.0 z))) -5.374133546757662e-282)
     (* (- (/ y z) (/ t (- 1.0 z))) x)
     (if (<= (- (/ y z) (/ t (- 1.0 z))) 3.202405221403763e-187)
       (* (/ x z) (+ t (+ y (/ t z))))
       (if (<= (- (/ y z) (/ t (- 1.0 z))) 3.0897616274855517e+249)
         (* (- (/ y z) (/ t (- 1.0 z))) x)
         (/ (* x (- y (* z (+ y t)))) (* z (- 1.0 z))))))))
double code(double x, double y, double z, double t) {
	return x * ((y / z) - (t / (1.0 - z)));
}
double code(double x, double y, double z, double t) {
	double tmp;
	if (((y / z) - (t / (1.0 - z))) <= -3.5438826745403745e+274) {
		tmp = (x * (y - (z * (y + t)))) / (z * (1.0 - z));
	} else if (((y / z) - (t / (1.0 - z))) <= -5.374133546757662e-282) {
		tmp = ((y / z) - (t / (1.0 - z))) * x;
	} else if (((y / z) - (t / (1.0 - z))) <= 3.202405221403763e-187) {
		tmp = (x / z) * (t + (y + (t / z)));
	} else if (((y / z) - (t / (1.0 - z))) <= 3.0897616274855517e+249) {
		tmp = ((y / z) - (t / (1.0 - z))) * x;
	} else {
		tmp = (x * (y - (z * (y + t)))) / (z * (1.0 - z));
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original4.8
Target4.3
Herbie0.6
\[\begin{array}{l} \mathbf{if}\;x \cdot \left(\frac{y}{z} - \frac{t}{1 - z}\right) < -7.623226303312042 \cdot 10^{-196}:\\ \;\;\;\;x \cdot \left(\frac{y}{z} - t \cdot \frac{1}{1 - z}\right)\\ \mathbf{elif}\;x \cdot \left(\frac{y}{z} - \frac{t}{1 - z}\right) < 1.4133944927702302 \cdot 10^{-211}:\\ \;\;\;\;\frac{y \cdot x}{z} + \left(-\frac{t \cdot x}{1 - z}\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(\frac{y}{z} - t \cdot \frac{1}{1 - z}\right)\\ \end{array}\]

Derivation

  1. Split input into 3 regimes
  2. if (-.f64 (/.f64 y z) (/.f64 t (-.f64 1 z))) < -3.5438826745403745e274 or 3.089761627485552e249 < (-.f64 (/.f64 y z) (/.f64 t (-.f64 1 z)))

    1. Initial program 33.2

      \[x \cdot \left(\frac{y}{z} - \frac{t}{1 - z}\right)\]
    2. Using strategy rm
    3. Applied frac-sub_binary6434.7

      \[\leadsto x \cdot \color{blue}{\frac{y \cdot \left(1 - z\right) - z \cdot t}{z \cdot \left(1 - z\right)}}\]
    4. Applied associate-*r/_binary641.9

      \[\leadsto \color{blue}{\frac{x \cdot \left(y \cdot \left(1 - z\right) - z \cdot t\right)}{z \cdot \left(1 - z\right)}}\]
    5. Simplified1.9

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

    if -3.5438826745403745e274 < (-.f64 (/.f64 y z) (/.f64 t (-.f64 1 z))) < -5.37413354675766228e-282 or 3.2024052214037628e-187 < (-.f64 (/.f64 y z) (/.f64 t (-.f64 1 z))) < 3.089761627485552e249

    1. Initial program 0.2

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

    if -5.37413354675766228e-282 < (-.f64 (/.f64 y z) (/.f64 t (-.f64 1 z))) < 3.2024052214037628e-187

    1. Initial program 11.0

      \[x \cdot \left(\frac{y}{z} - \frac{t}{1 - z}\right)\]
    2. Taylor expanded around inf 1.6

      \[\leadsto \color{blue}{\frac{x \cdot y}{z} + \left(\frac{t \cdot x}{{z}^{2}} + \frac{t \cdot x}{z}\right)}\]
    3. Simplified2.0

      \[\leadsto \color{blue}{\frac{x}{z} \cdot \left(t + \left(y + \frac{t}{z}\right)\right)}\]
  3. Recombined 3 regimes into one program.
  4. Final simplification0.6

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{y}{z} - \frac{t}{1 - z} \leq -3.5438826745403745 \cdot 10^{+274}:\\ \;\;\;\;\frac{x \cdot \left(y - z \cdot \left(y + t\right)\right)}{z \cdot \left(1 - z\right)}\\ \mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq -5.374133546757662 \cdot 10^{-282}:\\ \;\;\;\;\left(\frac{y}{z} - \frac{t}{1 - z}\right) \cdot x\\ \mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq 3.202405221403763 \cdot 10^{-187}:\\ \;\;\;\;\frac{x}{z} \cdot \left(t + \left(y + \frac{t}{z}\right)\right)\\ \mathbf{elif}\;\frac{y}{z} - \frac{t}{1 - z} \leq 3.0897616274855517 \cdot 10^{+249}:\\ \;\;\;\;\left(\frac{y}{z} - \frac{t}{1 - z}\right) \cdot x\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \left(y - z \cdot \left(y + t\right)\right)}{z \cdot \left(1 - z\right)}\\ \end{array}\]

Reproduce

herbie shell --seed 2020224 
(FPCore (x y z t)
  :name "Numeric.SpecFunctions:invIncompleteBetaWorker from math-functions-0.1.5.2, C"
  :precision binary64

  :herbie-target
  (if (< (* x (- (/ y z) (/ t (- 1.0 z)))) -7.623226303312042e-196) (* x (- (/ y z) (* t (/ 1.0 (- 1.0 z))))) (if (< (* x (- (/ y z) (/ t (- 1.0 z)))) 1.4133944927702302e-211) (+ (/ (* y x) z) (- (/ (* t x) (- 1.0 z)))) (* x (- (/ y z) (* t (/ 1.0 (- 1.0 z)))))))

  (* x (- (/ y z) (/ t (- 1.0 z)))))