Average Error: 6.7 → 0.9
Time: 23.4s
Precision: 64
\[x + \frac{y \cdot \left(z - x\right)}{t}\]
↓
\[\begin{array}{l} \mathbf{if}\;x + \frac{\left(z - x\right) \cdot y}{t} \le -4.015242760717319860347263184406053785305 \cdot 10^{305}:\\ \;\;\;\;x + \frac{y}{\frac{t}{z - x}}\\ \mathbf{elif}\;x + \frac{\left(z - x\right) \cdot y}{t} \le 2.038097847986346269413799617144504707187 \cdot 10^{304}:\\ \;\;\;\;x + \frac{\left(z - x\right) \cdot y}{t}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{y}{\frac{t}{z - x}}\\ \end{array}\]
x + \frac{y \cdot \left(z - x\right)}{t}
↓
\begin{array}{l}
\mathbf{if}\;x + \frac{\left(z - x\right) \cdot y}{t} \le -4.015242760717319860347263184406053785305 \cdot 10^{305}:\\
\;\;\;\;x + \frac{y}{\frac{t}{z - x}}\\

\mathbf{elif}\;x + \frac{\left(z - x\right) \cdot y}{t} \le 2.038097847986346269413799617144504707187 \cdot 10^{304}:\\
\;\;\;\;x + \frac{\left(z - x\right) \cdot y}{t}\\

\mathbf{else}:\\
\;\;\;\;x + \frac{y}{\frac{t}{z - x}}\\

\end{array}
double f(double x, double y, double z, double t) {
        double r18919474 = x;
        double r18919475 = y;
        double r18919476 = z;
        double r18919477 = r18919476 - r18919474;
        double r18919478 = r18919475 * r18919477;
        double r18919479 = t;
        double r18919480 = r18919478 / r18919479;
        double r18919481 = r18919474 + r18919480;
        return r18919481;
}
↓
double f(double x, double y, double z, double t) {
        double r18919482 = x;
        double r18919483 = z;
        double r18919484 = r18919483 - r18919482;
        double r18919485 = y;
        double r18919486 = r18919484 * r18919485;
        double r18919487 = t;
        double r18919488 = r18919486 / r18919487;
        double r18919489 = r18919482 + r18919488;
        double r18919490 = -4.01524276071732e+305;
        bool r18919491 = r18919489 <= r18919490;
        double r18919492 = r18919487 / r18919484;
        double r18919493 = r18919485 / r18919492;
        double r18919494 = r18919482 + r18919493;
        double r18919495 = 2.0380978479863463e+304;
        bool r18919496 = r18919489 <= r18919495;
        double r18919497 = r18919496 ? r18919489 : r18919494;
        double r18919498 = r18919491 ? r18919494 : r18919497;
        return r18919498;
}

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

Original6.7
Target2.1
Herbie0.9
\[x - \left(x \cdot \frac{y}{t} + \left(-z\right) \cdot \frac{y}{t}\right)\]

Derivation

  1. Split input into 2 regimes

  2. if (+ x (/ (* y (- z x)) t)) < -4.01524276071732e+305 or 2.0380978479863463e+304 < (+ x (/ (* y (- z x)) t))

    1. Initial program 60.1

      \[x + \frac{y \cdot \left(z - x\right)}{t}\]
    2. Using strategy rm

    3. Applied associate-/l*1.3

      \[\leadsto x + \color{blue}{\frac{y}{\frac{t}{z - x}}}\]

    if -4.01524276071732e+305 < (+ x (/ (* y (- z x)) t)) < 2.0380978479863463e+304

    1. Initial program 0.8

      \[x + \frac{y \cdot \left(z - x\right)}{t}\]
  3. Recombined 2 regimes into one program.

  4. Final simplification0.9

    \[\leadsto \begin{array}{l} \mathbf{if}\;x + \frac{\left(z - x\right) \cdot y}{t} \le -4.015242760717319860347263184406053785305 \cdot 10^{305}:\\ \;\;\;\;x + \frac{y}{\frac{t}{z - x}}\\ \mathbf{elif}\;x + \frac{\left(z - x\right) \cdot y}{t} \le 2.038097847986346269413799617144504707187 \cdot 10^{304}:\\ \;\;\;\;x + \frac{\left(z - x\right) \cdot y}{t}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{y}{\frac{t}{z - x}}\\ \end{array}\]

Reproduce

herbie shell --seed 2019172 
(FPCore (x y z t)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, D"

  :herbie-target
  (- x (+ (* x (/ y t)) (* (- z) (/ y t))))

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