Average Error: 2.0 → 1.4
Time: 7.5s
Precision: binary64
\[\frac{x}{y} \cdot \left(z - t\right) + t \]
\[\begin{array}{l} \mathbf{if}\;t + \frac{x}{y} \cdot \left(z - t\right) \leq 2.0777486913097956 \cdot 10^{+307}:\\ \;\;\;\;\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot \frac{z - t}{y}\\ \end{array} \]
\frac{x}{y} \cdot \left(z - t\right) + t
\begin{array}{l}
\mathbf{if}\;t + \frac{x}{y} \cdot \left(z - t\right) \leq 2.0777486913097956 \cdot 10^{+307}:\\
\;\;\;\;\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)\\

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


\end{array}
(FPCore (x y z t) :precision binary64 (+ (* (/ x y) (- z t)) t))
(FPCore (x y z t)
 :precision binary64
 (if (<= (+ t (* (/ x y) (- z t))) 2.0777486913097956e+307)
   (fma (/ x y) (- z t) t)
   (* x (/ (- z t) y))))
double code(double x, double y, double z, double t) {
	return ((x / y) * (z - t)) + t;
}
double code(double x, double y, double z, double t) {
	double tmp;
	if ((t + ((x / y) * (z - t))) <= 2.0777486913097956e+307) {
		tmp = fma((x / y), (z - t), t);
	} else {
		tmp = x * ((z - t) / y);
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Target

Original2.0
Target2.4
Herbie1.4
\[\begin{array}{l} \mathbf{if}\;z < 2.759456554562692 \cdot 10^{-282}:\\ \;\;\;\;\frac{x}{y} \cdot \left(z - t\right) + t\\ \mathbf{elif}\;z < 2.326994450874436 \cdot 10^{-110}:\\ \;\;\;\;x \cdot \frac{z - t}{y} + t\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{y} \cdot \left(z - t\right) + t\\ \end{array} \]

Derivation

  1. Split input into 2 regimes
  2. if (+.f64 (*.f64 (/.f64 x y) (-.f64 z t)) t) < 2.07774869130979561e307

    1. Initial program 1.4

      \[\frac{x}{y} \cdot \left(z - t\right) + t \]
    2. Simplified1.4

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

    if 2.07774869130979561e307 < (+.f64 (*.f64 (/.f64 x y) (-.f64 z t)) t)

    1. Initial program 57.0

      \[\frac{x}{y} \cdot \left(z - t\right) + t \]
    2. Simplified57.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)} \]
    3. Taylor expanded in x around inf 4.5

      \[\leadsto \color{blue}{\left(\frac{z}{y} - \frac{t}{y}\right) \cdot x} \]
    4. Simplified4.5

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

    \[\leadsto \begin{array}{l} \mathbf{if}\;t + \frac{x}{y} \cdot \left(z - t\right) \leq 2.0777486913097956 \cdot 10^{+307}:\\ \;\;\;\;\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot \frac{z - t}{y}\\ \end{array} \]

Reproduce

herbie shell --seed 2021313 
(FPCore (x y z t)
  :name "Numeric.Signal.Multichannel:$cget from hsignal-0.2.7.1"
  :precision binary64

  :herbie-target
  (if (< z 2.759456554562692e-282) (+ (* (/ x y) (- z t)) t) (if (< z 2.326994450874436e-110) (+ (* x (/ (- z t) y)) t) (+ (* (/ x y) (- z t)) t)))

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