Average Error: 6.2 → 0.4
Time: 10.2s
Precision: 64
\[x + \frac{y \cdot \left(z - t\right)}{a}\]
\[\begin{array}{l} \mathbf{if}\;y \cdot \left(z - t\right) \le -1.4829459359694524 \cdot 10^{214} \lor \neg \left(y \cdot \left(z - t\right) \le 1.7601478476406493 \cdot 10^{275}\right):\\ \;\;\;\;\mathsf{fma}\left(\frac{y}{a}, z - t, x\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{y \cdot \left(z - t\right)}{a} + x\\ \end{array}\]
x + \frac{y \cdot \left(z - t\right)}{a}
\begin{array}{l}
\mathbf{if}\;y \cdot \left(z - t\right) \le -1.4829459359694524 \cdot 10^{214} \lor \neg \left(y \cdot \left(z - t\right) \le 1.7601478476406493 \cdot 10^{275}\right):\\
\;\;\;\;\mathsf{fma}\left(\frac{y}{a}, z - t, x\right)\\

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

\end{array}
double f(double x, double y, double z, double t, double a) {
        double r282011 = x;
        double r282012 = y;
        double r282013 = z;
        double r282014 = t;
        double r282015 = r282013 - r282014;
        double r282016 = r282012 * r282015;
        double r282017 = a;
        double r282018 = r282016 / r282017;
        double r282019 = r282011 + r282018;
        return r282019;
}

double f(double x, double y, double z, double t, double a) {
        double r282020 = y;
        double r282021 = z;
        double r282022 = t;
        double r282023 = r282021 - r282022;
        double r282024 = r282020 * r282023;
        double r282025 = -1.4829459359694524e+214;
        bool r282026 = r282024 <= r282025;
        double r282027 = 1.7601478476406493e+275;
        bool r282028 = r282024 <= r282027;
        double r282029 = !r282028;
        bool r282030 = r282026 || r282029;
        double r282031 = a;
        double r282032 = r282020 / r282031;
        double r282033 = x;
        double r282034 = fma(r282032, r282023, r282033);
        double r282035 = r282024 / r282031;
        double r282036 = r282035 + r282033;
        double r282037 = r282030 ? r282034 : r282036;
        return r282037;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Target

Original6.2
Target0.7
Herbie0.4
\[\begin{array}{l} \mathbf{if}\;y \lt -1.07612662163899753 \cdot 10^{-10}:\\ \;\;\;\;x + \frac{1}{\frac{\frac{a}{z - t}}{y}}\\ \mathbf{elif}\;y \lt 2.8944268627920891 \cdot 10^{-49}:\\ \;\;\;\;x + \frac{y \cdot \left(z - t\right)}{a}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{y}{\frac{a}{z - t}}\\ \end{array}\]

Derivation

  1. Split input into 2 regimes
  2. if (* y (- z t)) < -1.4829459359694524e+214 or 1.7601478476406493e+275 < (* y (- z t))

    1. Initial program 38.3

      \[x + \frac{y \cdot \left(z - t\right)}{a}\]
    2. Simplified0.5

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{y}{a}, z - t, x\right)}\]

    if -1.4829459359694524e+214 < (* y (- z t)) < 1.7601478476406493e+275

    1. Initial program 0.4

      \[x + \frac{y \cdot \left(z - t\right)}{a}\]
    2. Simplified2.9

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{y}{a}, z - t, x\right)}\]
    3. Using strategy rm
    4. Applied fma-udef2.9

      \[\leadsto \color{blue}{\frac{y}{a} \cdot \left(z - t\right) + x}\]
    5. Simplified0.4

      \[\leadsto \color{blue}{\frac{y \cdot \left(z - t\right)}{a}} + x\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot \left(z - t\right) \le -1.4829459359694524 \cdot 10^{214} \lor \neg \left(y \cdot \left(z - t\right) \le 1.7601478476406493 \cdot 10^{275}\right):\\ \;\;\;\;\mathsf{fma}\left(\frac{y}{a}, z - t, x\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{y \cdot \left(z - t\right)}{a} + x\\ \end{array}\]

Reproduce

herbie shell --seed 2020047 +o rules:numerics
(FPCore (x y z t a)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, E"
  :precision binary64

  :herbie-target
  (if (< y -1.0761266216389975e-10) (+ x (/ 1 (/ (/ a (- z t)) y))) (if (< y 2.894426862792089e-49) (+ x (/ (* y (- z t)) a)) (+ x (/ y (/ a (- z t))))))

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