Average Error: 6.2 → 0.3
Time: 4.7s
Precision: binary64
\[x - \frac{y \cdot \left(z - t\right)}{a} \]
↓
\[\begin{array}{l} \mathbf{if}\;\begin{array}{l} t_1 := y \cdot \left(z - t\right)\\ t_1 \leq -\infty \lor \neg \left(t_1 \leq 2.0291745483508093 \cdot 10^{+259}\right) \end{array}:\\ \;\;\;\;\mathsf{fma}\left(y, \frac{t - z}{a}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x + \frac{y \cdot t}{a}\right) - \frac{y \cdot z}{a}\\ \end{array} \]
x - \frac{y \cdot \left(z - t\right)}{a}
↓
\begin{array}{l}
\mathbf{if}\;\begin{array}{l}
t_1 := y \cdot \left(z - t\right)\\
t_1 \leq -\infty \lor \neg \left(t_1 \leq 2.0291745483508093 \cdot 10^{+259}\right)
\end{array}:\\
\;\;\;\;\mathsf{fma}\left(y, \frac{t - z}{a}, x\right)\\

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


\end{array}

(FPCore (x y z t a) :precision binary64 (- x (/ (* y (- z t)) a)))
↓
(FPCore (x y z t a)
 :precision binary64
 (if (let* ((t_1 (* y (- z t))))
       (or (<= t_1 (- INFINITY)) (not (<= t_1 2.0291745483508093e+259))))
   (fma y (/ (- t z) a) x)
   (- (+ x (/ (* y t) a)) (/ (* y z) a))))
double code(double x, double y, double z, double t, double a) {
	return x - ((y * (z - t)) / a);
}
↓
double code(double x, double y, double z, double t, double a) {
	double t_1 = y * (z - t);
	double tmp;
	if ((t_1 <= -((double) INFINITY)) || !(t_1 <= 2.0291745483508093e+259)) {
		tmp = fma(y, ((t - z) / a), x);
	} else {
		tmp = (x + ((y * t) / a)) - ((y * z) / a);
	}
	return tmp;
}

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
Herbie0.3
\[\begin{array}{l} \mathbf{if}\;y < -1.0761266216389975 \cdot 10^{-10}:\\ \;\;\;\;x - \frac{1}{\frac{\frac{a}{z - t}}{y}}\\ \mathbf{elif}\;y < 2.894426862792089 \cdot 10^{-49}:\\ \;\;\;\;x - \frac{y \cdot \left(z - t\right)}{a}\\ \mathbf{else}:\\ \;\;\;\;x - \frac{y}{\frac{a}{z - t}}\\ \end{array} \]

Derivation

  1. Split input into 2 regimes

  2. if (*.f64 y (-.f64 z t)) < -inf.0 or 2.0291745483508093e259 < (*.f64 y (-.f64 z t))

    1. Initial program 51.6

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

    2. Simplified0.2

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

    if -inf.0 < (*.f64 y (-.f64 z t)) < 2.0291745483508093e259

    1. Initial program 0.4

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

    2. Simplified7.0

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

    3. Taylor expanded in y around 0 0.4

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

  4. Final simplification0.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot \left(z - t\right) \leq -\infty \lor \neg \left(y \cdot \left(z - t\right) \leq 2.0291745483508093 \cdot 10^{+259}\right):\\ \;\;\;\;\mathsf{fma}\left(y, \frac{t - z}{a}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x + \frac{y \cdot t}{a}\right) - \frac{y \cdot z}{a}\\ \end{array} \]

Reproduce

herbie shell --seed 2021313 
(FPCore (x y z t a)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, F"
  :precision binary64

  :herbie-target
  (if (< y -1.0761266216389975e-10) (- x (/ 1.0 (/ (/ a (- z t)) y))) (if (< y 2.894426862792089e-49) (- x (/ (* y (- z t)) a)) (- x (/ y (/ a (- z t))))))

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